Index

A

abs() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) absolute() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Accuracy (class in mxnet.gluon.metric) acos() (in module mxnet.numpy.multiarray) acosh() (in module mxnet.numpy.multiarray) Activation (class in mxnet.gluon.nn.activations) Activation() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) activation() (in module mxnet.ndarray.numpy_extension) Activation() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) activation() (in module mxnet.symbol.numpy_extension) Activation() (in module mxnet.symbol.op) AdaBelief (class in mxnet.optimizer) (class in mxnet.optimizer.adabelief) AdaDelta (class in mxnet.optimizer) (class in mxnet.optimizer.adadelta) AdaGrad (class in mxnet.optimizer) (class in mxnet.optimizer.adagrad) adagrad_update() (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.sparse) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.sparse) Adam (class in mxnet.optimizer) (class in mxnet.optimizer.adam) adam_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) Adamax (class in mxnet.optimizer) (class in mxnet.optimizer.adamax) AdamW (class in mxnet.optimizer.adamW) AdaptiveAvgPooling2D() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) add() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Sequential method) (mxnet.gluon.probability.block.stochastic_block.StochasticSequential method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) add_n() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) adjust_lighting() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) alexnet() (in module mxnet.gluon.model_zoo.vision) all() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) all_finite() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) allclose() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) allreduce_grads() (mxnet.gluon.trainer.Trainer method) amax() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) amin() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) amp_cast() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) amp_multicast() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) any() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Append (class in mxnet.gluon.data.batchify) append() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) apply() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) apply_along_axis() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) apply_over_axes() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) arange() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) arange_like() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension)

arccos() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arccosh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arcsin() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arcsinh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arctan() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arctan2() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) arctanh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) arg_constraints (mxnet.gluon.probability.distributions.distribution.Distribution property) argmax() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) argmax_channel() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) argmin() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) argpartition() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) argsort() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) argwhere() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) around() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) array() (in module mxnet.ndarray) (in module mxnet.ndarray.utils) (in module mxnet.numpy.multiarray) array_equal() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) array_equiv() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) array_split() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) ArrayDataset (class in mxnet.gluon.data.dataset) as_in_context() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) as_in_ctx() (mxnet.numpy.multiarray.ndarray method) as_nd_ndarray() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) as_np_ndarray() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) asarray() (in module mxnet.numpy.multiarray) asin() (in module mxnet.numpy.multiarray) asinh() (in module mxnet.numpy.multiarray) AsList (class in mxnet.gluon.data.batchify) asnumpy() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.ndarray.sparse.BaseSparseNDArray method) asscalar() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) asscipy() (mxnet.ndarray.sparse.CSRNDArray method) astype() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.ndarray.sparse.BaseSparseNDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) atan() (in module mxnet.numpy.multiarray) atan2() (in module mxnet.numpy.multiarray) atanh() (in module mxnet.numpy.multiarray) atleast_1d() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) atleast_2d() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) atleast_3d() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) attach_grad() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) attr() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) attr_dict() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) augmentation_transform() (mxnet.image.detection.ImageDetIter method) (mxnet.image.image.ImageIter method) Augmenter (class in mxnet.image.image) average() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) AvgPool1D (class in mxnet.gluon.nn.conv_layers) AvgPool2D (class in mxnet.gluon.nn.conv_layers) AvgPool3D (class in mxnet.gluon.nn.conv_layers)

B

backward() (in module mxnet.autograd) (mxnet.autograd.Function method) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) backward_gradientmultiplier() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) backward_hawkesll() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) backward_index_copy() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) backward_quadratic() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) BaseSparseNDArray (class in mxnet.ndarray.sparse) BasicBlockV1 (class in mxnet.gluon.model_zoo.vision.resnet) BasicBlockV2 (class in mxnet.gluon.model_zoo.vision.resnet) batch_dot() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) batch_flatten() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) batch_norm() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) batch_take() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) BatchNorm (class in mxnet.gluon.nn.basic_layers) BatchNorm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) BatchProcessor (class in mxnet.gluon.contrib.estimator.batch_processor) BatchSampler (class in mxnet.gluon.data.sampler) begin_state() (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) Bernoulli (class in mxnet.gluon.probability.distributions.bernoulli) bernoulli() (in module mxnet.ndarray.numpy_extension.random) (in module mxnet.numpy_extension.random) (in module mxnet.symbol.numpy_extension.random) Beta (class in mxnet.gluon.probability.distributions.beta) beta() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) BidirectionalCell (class in mxnet.gluon.rnn.rnn_cell) BilinearResize2D() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) BilinearSampler() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) BinaryAccuracy (class in mxnet.gluon.metric) bincount() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Binomial (class in mxnet.gluon.probability.distributions.binomial) binomial() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) bipartite_matching() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) bitwise_and() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) bitwise_invert() (in module mxnet.numpy.multiarray) bitwise_left_shift() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) bitwise_not() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) bitwise_or() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) bitwise_right_shift() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) bitwise_xor() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) blackman() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Block (class in mxnet.gluon.block) BlockGrad() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Boolean (class in mxnet.gluon.probability.distributions.constraint) boolean_mask() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) BottleneckV1 (class in mxnet.gluon.model_zoo.vision.resnet) BottleneckV2 (class in mxnet.gluon.model_zoo.vision.resnet) box_decode() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) box_encode() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) box_iou() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) box_nms() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) box_non_maximum_suppression() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) BrightnessJitterAug (class in mxnet.image.image) broadcast() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS method) (mxnet.kvstore.horovod.Horovod method) (mxnet.kvstore.kvstore.KVStore method) broadcast_add() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_arrays() (in module mxnet.numpy.stride_tricks)

broadcast_axes() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) broadcast_axis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_div() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_greater() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) broadcast_greater_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_hypot() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_lesser() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_lesser_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_like() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) broadcast_logical_and() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_logical_or() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_logical_xor() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_maximum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_minimum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_minus() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_mod() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_mul() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_not_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_plus() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_power() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) broadcast_sub() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) broadcast_to() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor method) (mxnet.gluon.probability.distributions.gamma.Gamma method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.multinomial.Multinomial method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical method) (mxnet.gluon.probability.distributions.poisson.Poisson method) (mxnet.gluon.probability.distributions.relaxed_bernoulli.RelaxedBernoulli method) (mxnet.gluon.probability.distributions.studentT.StudentT method) (mxnet.gluon.probability.distributions.uniform.Uniform method) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) BytePS (class in mxnet.kvstore.byteps)

C

cached_property (in module mxnet.gluon.probability.distributions.utils) CachedOp (class in mxnet.ndarray) (class in mxnet.ndarray.op) calib_graph() (in module mxnet.contrib.quantization) calibrate_entropy() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) CalibrationCollector (class in mxnet.contrib.quantization) can_cast() (in module mxnet.numpy.type_functions) Cast (class in mxnet.gluon.data.vision.transforms) Cast() (in module mxnet.ndarray) cast() (in module mxnet.ndarray) Cast() (in module mxnet.ndarray.gen_op) cast() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) Cast() (in module mxnet.ndarray.op) cast() (in module mxnet.ndarray.op) Cast() (in module mxnet.symbol) cast() (in module mxnet.symbol) Cast() (in module mxnet.symbol.gen_op) cast() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) Cast() (in module mxnet.symbol.op) cast() (in module mxnet.symbol.op) (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.block.SymbolBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.parameter.Parameter method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) cast_storage() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) CastAug (class in mxnet.image.image) Cat (class in mxnet.gluon.probability.distributions.constraint) Categorical (class in mxnet.gluon.probability.distributions.categorical) categorical() (in module mxnet.ndarray.numpy_extension.random) (in module mxnet.ndarray.random) (in module mxnet.numpy_extension.random) (in module mxnet.symbol.numpy_extension.random) (in module mxnet.symbol.random) Cauchy (class in mxnet.gluon.probability.distributions.cauchy) cbrt() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) cdf() (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy method) (mxnet.gluon.probability.distributions.half_normal.HalfNormal method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.transformed_distribution.TransformedDistribution method) (mxnet.gluon.probability.distributions.uniform.Uniform method) ceil() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) center_crop() (in module mxnet.image.image) CenterCrop (class in mxnet.gluon.data.vision.transforms.image) CenterCropAug (class in mxnet.image.image) check() (mxnet.gluon.probability.distributions.constraint.Boolean method) (mxnet.gluon.probability.distributions.constraint.Cat method) (mxnet.gluon.probability.distributions.constraint.Constraint method) (mxnet.gluon.probability.distributions.constraint.GreaterThan method) (mxnet.gluon.probability.distributions.constraint.GreaterThanEq method) (mxnet.gluon.probability.distributions.constraint.HalfOpenInterval method) (mxnet.gluon.probability.distributions.constraint.IntegerGreaterThan method) (mxnet.gluon.probability.distributions.constraint.IntegerGreaterThanEq method) (mxnet.gluon.probability.distributions.constraint.IntegerHalfOpenInterval method) (mxnet.gluon.probability.distributions.constraint.IntegerInterval method) (mxnet.gluon.probability.distributions.constraint.IntegerLessThan method) (mxnet.gluon.probability.distributions.constraint.IntegerLessThanEq method) (mxnet.gluon.probability.distributions.constraint.IntegerOpenInterval method) (mxnet.gluon.probability.distributions.constraint.Interval method) (mxnet.gluon.probability.distributions.constraint.LessThan method) (mxnet.gluon.probability.distributions.constraint.LessThanEq method) (mxnet.gluon.probability.distributions.constraint.LowerCholesky method) (mxnet.gluon.probability.distributions.constraint.LowerTriangular method) (mxnet.gluon.probability.distributions.constraint.OpenInterval method) (mxnet.gluon.probability.distributions.constraint.PositiveDefinite method) (mxnet.gluon.probability.distributions.constraint.Real method) (mxnet.gluon.probability.distributions.constraint.Simplex method) (mxnet.gluon.probability.distributions.constraint.Stack method) check_data_shape() (mxnet.image.image.ImageIter method) check_format() (mxnet.ndarray.sparse.BaseSparseNDArray method) check_label_shape() (mxnet.image.detection.ImageDetIter method) check_label_shapes() (in module mxnet.gluon.metric) check_sha1() (in module mxnet.gluon.utils) check_valid_image() (mxnet.image.image.ImageIter method) CheckpointHandler (class in mxnet.gluon.contrib.estimator.event_handler) Chi2 (class in mxnet.gluon.probability.distributions.chi2) chisquare() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) choice() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) cholesky() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) choose() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) choose_element_0index() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) CIFAR10 (class in mxnet.gluon.data.vision.datasets) CIFAR100 (class in mxnet.gluon.data.vision.datasets) clip() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) clip_global_norm() (in module mxnet.gluon.utils) col2im() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) collect() (mxnet.contrib.quantization.CalibrationCollector method) collect_params() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

collectLoss() (mxnet.gluon.probability.block.stochastic_block.StochasticBlock static method) color_normalize() (in module mxnet.image.image) ColorJitterAug (class in mxnet.image.image) ColorNormalizeAug (class in mxnet.image.image) column_stack() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Compose (class in mxnet.gluon.data.vision.transforms) CompositeEmbedding (class in mxnet.contrib.text.embedding) CompositeEvalMetric (class in mxnet.gluon.metric) compress() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Concat() (in module mxnet.ndarray) concat() (in module mxnet.ndarray) Concat() (in module mxnet.ndarray.gen_op) concat() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) Concat() (in module mxnet.ndarray.op) concat() (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) Concat() (in module mxnet.symbol) concat() (in module mxnet.symbol) Concat() (in module mxnet.symbol.gen_op) concat() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) Concat() (in module mxnet.symbol.op) concat() (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) Concatenate (class in mxnet.gluon.nn.basic_layers) concatenate() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) cond() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.numpy_extension.control_flow) (in module mxnet.numpy.fallback_linalg) (in module mxnet.numpy.linalg) (in module mxnet.numpy_extension.control_flow) (in module mxnet.symbol.contrib) (in module mxnet.symbol.numpy_extension) Constant (class in mxnet.gluon.parameter) Constraint (class in mxnet.gluon.probability.distributions.constraint) constraint_check() (in module mxnet.gluon.probability.distributions.utils) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) context (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray property) ContrastJitterAug (class in mxnet.image.image) contrib_calibrate_entropy() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) contrib_quantize() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) contrib_quantize_v2() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) contrib_quantized_rnn() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) Conv1D (class in mxnet.gluon.nn.conv_layers) Conv1DGRUCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv1DLSTMCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv1DRNNCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv1DTranspose (class in mxnet.gluon.nn.conv_layers) Conv2D (class in mxnet.gluon.nn.conv_layers) Conv2DGRUCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv2DLSTMCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv2DRNNCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv2DTranspose (class in mxnet.gluon.nn.conv_layers) Conv3D (class in mxnet.gluon.nn.conv_layers) Conv3DGRUCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv3DLSTMCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv3DRNNCell (class in mxnet.gluon.rnn.conv_rnn_cell) Conv3DTranspose (class in mxnet.gluon.nn.conv_layers) Convolution() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) convolution() (in module mxnet.ndarray.numpy_extension) Convolution() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) convolution() (in module mxnet.symbol.numpy_extension) Convolution() (in module mxnet.symbol.op) copy() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) copyMakeBorder() (in module mxnet.image.image) copysign() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) copyto() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.ndarray.sparse.BaseSparseNDArray method) (mxnet.ndarray.sparse.CSRNDArray method) (mxnet.ndarray.sparse.RowSparseNDArray method) (mxnet.numpy.multiarray.ndarray method) corrcoef() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) correlate() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Correlation() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) cos() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) cosh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) CosineEmbeddingLoss (class in mxnet.gluon.loss) CosineScheduler (class in mxnet.lr_scheduler) count_nonzero() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) count_sketch() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) count_tokens_from_str() (in module mxnet.contrib.text.utils) Counter (class in mxnet.profiler) cov() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) cpu() (in module mxnet.device) cpu_pinned() (in module mxnet.device) create() (in module mxnet.contrib.text.embedding) (in module mxnet.gluon.metric) (in module mxnet.kvstore.base) (in module mxnet.optimizer) (in module mxnet.optimizer.optimizer) create_image_augment() (in module mxnet.gluon.contrib.data.vision.dataloader) create_optimizer() (mxnet.optimizer.Optimizer static method) (mxnet.optimizer.optimizer.Optimizer static method) create_state() (mxnet.optimizer.AdaBelief method) (mxnet.optimizer.adabelief.AdaBelief method) (mxnet.optimizer.AdaDelta method) (mxnet.optimizer.adadelta.AdaDelta method) (mxnet.optimizer.AdaGrad method) (mxnet.optimizer.adagrad.AdaGrad method) (mxnet.optimizer.Adam method) (mxnet.optimizer.adam.Adam method) (mxnet.optimizer.Adamax method) (mxnet.optimizer.adamax.Adamax method) (mxnet.optimizer.adamW.AdamW method) (mxnet.optimizer.contrib.GroupAdaGrad method) (mxnet.optimizer.DCASGD method) (mxnet.optimizer.dcasgd.DCASGD method) (mxnet.optimizer.FTML method) (mxnet.optimizer.ftml.FTML method) (mxnet.optimizer.Ftrl method) (mxnet.optimizer.ftrl.Ftrl method) (mxnet.optimizer.LAMB method) (mxnet.optimizer.lamb.LAMB method) (mxnet.optimizer.LANS method) (mxnet.optimizer.lans.LANS method) (mxnet.optimizer.LARS method) (mxnet.optimizer.lars.LARS method) (mxnet.optimizer.Nadam method) (mxnet.optimizer.nadam.Nadam method) (mxnet.optimizer.NAG method) (mxnet.optimizer.nag.NAG method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Test method) (mxnet.optimizer.RMSProp method) (mxnet.optimizer.rmsprop.RMSProp method) (mxnet.optimizer.SGD method) (mxnet.optimizer.sgd.SGD method) (mxnet.optimizer.SGLD method) (mxnet.optimizer.sgld.SGLD method) (mxnet.optimizer.Signum method) (mxnet.optimizer.signum.Signum method) (mxnet.optimizer.Test method) create_state_multi_precision() (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) CreateAugmenter() (in module mxnet.image.image) CreateDetAugmenter() (in module mxnet.image.detection) CreateMultiRandCropAugmenter() (in module mxnet.image.detection) Crop() (in module mxnet.ndarray) crop() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_image) Crop() (in module mxnet.ndarray.gen_op) crop() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) Crop() (in module mxnet.ndarray.op) crop() (in module mxnet.ndarray.op) (in module mxnet.numpy_extension.image) Crop() (in module mxnet.symbol) crop() (in module mxnet.symbol) (in module mxnet.symbol.gen_image) Crop() (in module mxnet.symbol.gen_op) crop() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) Crop() (in module mxnet.symbol.op) crop() (in module mxnet.symbol.op) CropResize (class in mxnet.gluon.data.vision.transforms.image) cross() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.linalg) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) CrossEntropy (class in mxnet.gluon.metric) csr_matrix() (in module mxnet.ndarray.sparse) CSRNDArray (class in mxnet.ndarray.sparse) CSVIter() (in module mxnet.io.io) ctc_loss() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) CTCLoss (class in mxnet.gluon.loss) CTCLoss() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) ctx (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray property) cumprod() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) cumsum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.numpy.multiarray.ndarray method) current_device() (in module mxnet.device) Custom() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) CustomEmbedding (class in mxnet.contrib.text.embedding) CustomMetric (class in mxnet.gluon.metric)

D

data (mxnet.ndarray.sparse.CSRNDArray property) (mxnet.ndarray.sparse.RowSparseNDArray property) data() (mxnet.gluon.parameter.Parameter method) DataBatch (class in mxnet.io.io) DataDesc (class in mxnet.io.io) DataIter (class in mxnet.io.io) DataLoader (class in mxnet.gluon.data.dataloader) DataLoaderIter (class in mxnet.contrib.io) Dataset (class in mxnet.gluon.data.dataset) DCASGD (class in mxnet.optimizer) (class in mxnet.optimizer.dcasgd) debug_str() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) Deconvolution() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) deconvolution() (in module mxnet.ndarray.numpy_extension) Deconvolution() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) deconvolution() (in module mxnet.symbol.numpy_extension) Deconvolution() (in module mxnet.symbol.op) decrement() (mxnet.profiler.Counter method) DeferredInitializationError deformable_convolution() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) DeformableConvolution (class in mxnet.gluon.nn.conv_layers) DeformablePSROIPooling() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) deg2rad() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) degrees() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) delete() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Dense (class in mxnet.gluon.nn.basic_layers) DenseNet (class in mxnet.gluon.model_zoo.vision.densenet) densenet121() (in module mxnet.gluon.model_zoo.vision.densenet) densenet161() (in module mxnet.gluon.model_zoo.vision.densenet) densenet169() (in module mxnet.gluon.model_zoo.vision.densenet) densenet201() (in module mxnet.gluon.model_zoo.vision.densenet) depth_to_space() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) dequantize() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) det() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) (in module mxnet.symbol.numpy.linalg) detach() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) DetAugmenter (class in mxnet.image.detection) DetBorrowAug (class in mxnet.image.detection) DetHorizontalFlipAug (class in mxnet.image.detection) DetRandomCropAug (class in mxnet.image.detection) DetRandomPadAug (class in mxnet.image.detection) DetRandomSelectAug (class in mxnet.image.detection) Device (class in mxnet.device) device (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray property) device_type (mxnet.device.Device property) dgl_adjacency() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) dgl_csr_neighbor_non_uniform_sample() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) dgl_csr_neighbor_uniform_sample() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) dgl_graph_compact() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib)

dgl_subgraph() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) diag() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) diag_indices_from() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) diagflat() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) diagonal() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.linalg) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) (mxnet.numpy.multiarray.ndarray method) diff() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) digamma() (in module mxnet.gluon.probability.distributions.utils) (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) digitize() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Dirichlet (class in mxnet.gluon.probability.distributions.dirichlet) Distribution (class in mxnet.gluon.probability.distributions.distribution) div_sqrt_dim() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) divide() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) divmod() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Domain (class in mxnet.profiler) dot() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.numpy.multiarray.ndarray method) download() (in module mxnet.gluon.utils) draw_next() (mxnet.image.detection.ImageDetIter method) drop_grad() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) Dropout (class in mxnet.gluon.nn.basic_layers) Dropout() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) dropout() (in module mxnet.ndarray.numpy_extension) Dropout() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) dropout() (in module mxnet.symbol.numpy_extension) Dropout() (in module mxnet.symbol.op) DropoutCell (class in mxnet.gluon.rnn.rnn_cell) dsplit() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) dstack() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) dtype (mxnet.gluon.parameter.Parameter property) (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray attribute) (mxnet.numpy.multiarray.ndarray property) dtype() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) dump() (in module mxnet.profiler) dump_profile() (in module mxnet.profiler) dumps() (in module mxnet.profiler) (mxnet.image.detection.DetAugmenter method) (mxnet.image.detection.DetBorrowAug method) (mxnet.image.detection.DetRandomSelectAug method) (mxnet.image.image.Augmenter method) (mxnet.image.image.RandomOrderAug method) (mxnet.image.image.SequentialAug method) dynamic_reshape() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib)

E

EarlyStoppingHandler (class in mxnet.gluon.contrib.estimator.event_handler) edge_id() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) ediff1d() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) eig() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) eigh() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) eigvals() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) eigvalsh() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) einsum() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) ElementWiseSum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) elemwise_add() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) elemwise_div() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) elemwise_mul() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) elemwise_sub() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) ELU (class in mxnet.gluon.nn.activations) Embedding (class in mxnet.gluon.nn.basic_layers) Embedding() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) embedding() (in module mxnet.ndarray.numpy_extension) Embedding() (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) embedding() (in module mxnet.symbol.numpy_extension) Embedding() (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) empirical_kl() (in module mxnet.gluon.probability.distributions.divergence) empty() (in module mxnet.ndarray) (in module mxnet.ndarray.utils) (in module mxnet.numpy.multiarray) empty_cache() (mxnet.device.Device method) empty_like() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) enabled (mxnet.runtime.Feature property) entropy() (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.beta.Beta method) (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exp_family.ExponentialFamily method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.gamma.Gamma method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.pareto.Pareto method) (mxnet.gluon.probability.distributions.studentT.StudentT method) (mxnet.gluon.probability.distributions.uniform.Uniform method) (mxnet.gluon.probability.distributions.weibull.Weibull method) enumerate_support() (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical method) equal() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) erf() (in module mxnet.gluon.probability.distributions.utils) (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) erfinv() (in module mxnet.gluon.probability.distributions.utils) (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) Estimator (class in mxnet.gluon.contrib.estimator.estimator) eval() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) EvalMetric (class in mxnet.gluon.metric) evaluate() (mxnet.gluon.contrib.estimator.estimator.Estimator method) evaluate_batch() (mxnet.gluon.contrib.estimator.batch_processor.BatchProcessor method) Event (class in mxnet.profiler) exp() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method)

expand_dims() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) expm1() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) Exponential (class in mxnet.gluon.probability.distributions.exponential) exponential() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.random) exponential_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) ExponentialFamily (class in mxnet.gluon.probability.distributions.exp_family) export() (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) extract() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) extractdiag() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) extracttrian() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) eye() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol)

F

f() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) F1 (class in mxnet.gluon.metric) fabs() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) FactorScheduler (class in mxnet.lr_scheduler) FashionMNIST (class in mxnet.gluon.data.vision.datasets) FastText (class in mxnet.contrib.text.embedding) Fbeta (class in mxnet.gluon.metric) Feature (class in mxnet.runtime) feature_list() (in module mxnet.runtime) Features (class in mxnet.runtime) fft() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) fill_diagonal() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) fill_element_0index() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) filter() (mxnet.gluon.data.dataset.Dataset method) FilterSampler (class in mxnet.gluon.data.sampler) finfo() (in module mxnet.numpy.type_functions) FisherSnedecor (class in mxnet.gluon.probability.distributions.fishersnedecor) fit() (mxnet.gluon.contrib.estimator.estimator.Estimator method) fit_batch() (mxnet.gluon.contrib.estimator.batch_processor.BatchProcessor method) fix() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) fixed_crop() (in module mxnet.image.image) flatnonzero() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Flatten (class in mxnet.gluon.nn.basic_layers) Flatten() (in module mxnet.ndarray) flatten() (in module mxnet.ndarray) Flatten() (in module mxnet.ndarray.gen_op) flatten() (in module mxnet.ndarray.gen_op) Flatten() (in module mxnet.ndarray.op) flatten() (in module mxnet.ndarray.op) Flatten() (in module mxnet.symbol) flatten() (in module mxnet.symbol) Flatten() (in module mxnet.symbol.gen_op) flatten() (in module mxnet.symbol.gen_op) Flatten() (in module mxnet.symbol.op) flatten() (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) flip() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) flip_left_right() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) flip_top_bottom() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) fliplr() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) flipud() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) float_power() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) floor() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) floor_divide() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) fmax() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) fmin() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) fmod() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) ForceResizeAug (class in mxnet.image.image) foreach() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.numpy_extension.control_flow) (in module mxnet.numpy_extension.control_flow) (in module mxnet.symbol.contrib) (in module mxnet.symbol.numpy_extension) forward() (mxnet.autograd.Function method) (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.block.SymbolBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.HybridRandomApply method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.data.vision.transforms.RandomApply method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.Lambda method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.Sequential method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.probability.block.stochastic_block.StochasticSequential method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

Frame (class in mxnet.profiler) frexp() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) from_dlpack() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.numpy.multiarray) (in module mxnet.numpy_extension.utils) from_numpy() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.numpy_extension.utils) fromjson() (in module mxnet.symbol) (in module mxnet.symbol.symbol) FTML (class in mxnet.optimizer) (class in mxnet.optimizer.ftml) ftml_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Ftrl (class in mxnet.optimizer) (class in mxnet.optimizer.ftrl) ftrl_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) full() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) full_like() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) fully_connected() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) FullyConnected() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) Function (class in mxnet.autograd) fused_step() (mxnet.optimizer.AdaBelief method) (mxnet.optimizer.adabelief.AdaBelief method) (mxnet.optimizer.AdaGrad method) (mxnet.optimizer.adagrad.AdaGrad method) (mxnet.optimizer.Adam method) (mxnet.optimizer.adam.Adam method) (mxnet.optimizer.adamW.AdamW method) (mxnet.optimizer.contrib.GroupAdaGrad method) (mxnet.optimizer.FTML method) (mxnet.optimizer.ftml.FTML method) (mxnet.optimizer.Ftrl method) (mxnet.optimizer.ftrl.Ftrl method) (mxnet.optimizer.LAMB method) (mxnet.optimizer.lamb.LAMB method) (mxnet.optimizer.LANS method) (mxnet.optimizer.lans.LANS method) (mxnet.optimizer.LARS method) (mxnet.optimizer.lars.LARS method) (mxnet.optimizer.NAG method) (mxnet.optimizer.nag.NAG method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) (mxnet.optimizer.RMSProp method) (mxnet.optimizer.rmsprop.RMSProp method) (mxnet.optimizer.SGD method) (mxnet.optimizer.sgd.SGD method) (mxnet.optimizer.Signum method) (mxnet.optimizer.signum.Signum method)

G

Gamma (class in mxnet.gluon.probability.distributions.gamma) gamma() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.random) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.random) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.random) (in module mxnet.symbol.sparse) gamma_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) gammaln() (in module mxnet.gluon.probability.distributions.utils) (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) gather_nd() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) gcd() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) gelqf() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) GELU (class in mxnet.gluon.nn.activations) gemm() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) gemm2() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) generalized_negative_binomial() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) generalized_negative_binomial_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) genfromtxt() (in module mxnet.numpy.io) Geometric (class in mxnet.gluon.probability.distributions.geometric) get() (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) get_backend_symbol() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) get_batch_axis() (mxnet.io.io.DataDesc static method) get_children() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) get_config() (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) get_indexing_dispatch_code() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) get_inputs() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) get_internals() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) get_list() (mxnet.io.io.DataDesc static method) get_metric() (mxnet.gluon.metric.CompositeEvalMetric method) get_mobilenet() (in module mxnet.gluon.model_zoo.vision.mobilenet) get_mobilenet_v2() (in module mxnet.gluon.model_zoo.vision.mobilenet) get_model() (in module mxnet.gluon.model_zoo.vision) get_model_file() (in module mxnet.gluon.model_zoo.model_store)

get_name_value() (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) get_optimized_symbol() (mxnet.ndarray.CachedOp method) (mxnet.ndarray.op.CachedOp method) get_oshape_of_gather_nd_op() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) get_pretrained_file_names() (in module mxnet.contrib.text.embedding) get_resnet() (in module mxnet.gluon.model_zoo.vision.resnet) get_states() (mxnet.optimizer.Updater method) (mxnet.optimizer.updater.Updater method) get_symbol() (in module mxnet.autograd) get_updater() (in module mxnet.optimizer) (in module mxnet.optimizer.updater) get_use_fp16() (in module mxnet.contrib.tensorrt) get_vgg() (in module mxnet.gluon.model_zoo.vision.vgg) getdata() (mxnet.contrib.io.DataLoaderIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) getindex() (mxnet.contrib.io.DataLoaderIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) getlabel() (mxnet.contrib.io.DataLoaderIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) getnnz() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) getpad() (mxnet.contrib.io.DataLoaderIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) GlobalAvgPool1D (class in mxnet.gluon.nn.conv_layers) GlobalAvgPool2D (class in mxnet.gluon.nn.conv_layers) GlobalAvgPool3D (class in mxnet.gluon.nn.conv_layers) GlobalMaxPool1D (class in mxnet.gluon.nn.conv_layers) GlobalMaxPool2D (class in mxnet.gluon.nn.conv_layers) GlobalMaxPool3D (class in mxnet.gluon.nn.conv_layers) GloVe (class in mxnet.contrib.text.embedding) gpu() (in module mxnet.device) gpu_memory_info() (in module mxnet.device) grad (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray property) grad() (in module mxnet.autograd) (mxnet.gluon.parameter.Parameter method) grad_req (mxnet.gluon.parameter.Parameter attribute) gradient() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) gradientmultiplier() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) GradientUpdateHandler (class in mxnet.gluon.contrib.estimator.event_handler) greater() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) greater_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) GreaterThan (class in mxnet.gluon.probability.distributions.constraint) GreaterThanEq (class in mxnet.gluon.probability.distributions.constraint) GridGenerator() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Group (class in mxnet.gluon.data.batchify) Group() (in module mxnet.symbol) (in module mxnet.symbol.symbol) group_adagrad_update() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) group_norm() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) GroupAdaGrad (class in mxnet.optimizer.contrib) GroupNorm (class in mxnet.gluon.nn.basic_layers) GroupNorm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) GRU (class in mxnet.gluon.rnn.rnn_layer) GRUCell (class in mxnet.gluon.rnn.rnn_cell) Gumbel (class in mxnet.gluon.probability.distributions.gumbel) gumbel() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random)

H

HalfCauchy (class in mxnet.gluon.probability.distributions.half_cauchy) HalfNormal (class in mxnet.gluon.probability.distributions.half_normal) HalfOpenInterval (class in mxnet.gluon.probability.distributions.constraint) hamming() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) hanning() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) hard_reset() (mxnet.image.image.ImageIter method) (mxnet.io.io.NDArrayIter method) hard_sigmoid() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) has_dynamic_shape_op() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) has_enumerate_support (mxnet.gluon.probability.distributions.independent.Independent property) hawkesll() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) heaviside() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) HingeLoss (class in mxnet.gluon.loss) histogram() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) histogram2d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) histogram_bin_edges() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) histogramdd() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) HorizontalFlipAug (class in mxnet.image.image) Horovod (class in mxnet.kvstore.horovod) hsplit() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) hstack() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) HuberLoss (class in mxnet.gluon.loss) HueJitterAug (class in mxnet.image.image) HybridBlock (class in mxnet.gluon.block) HybridCompose (class in mxnet.gluon.data.vision.transforms) HybridConcatenate (class in mxnet.gluon.nn.basic_layers) hybridize() (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.Sequential method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

HybridLambda (class in mxnet.gluon.nn.basic_layers) HybridRandomApply (class in mxnet.gluon.data.vision.transforms) HybridRecurrentCell (class in mxnet.gluon.rnn.rnn_cell) HybridSequential (class in mxnet.gluon.nn.basic_layers) HybridSequentialRNNCell (class in mxnet.gluon.rnn.rnn_cell) hypot() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol)

I

i0() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) icdf() (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy method) (mxnet.gluon.probability.distributions.half_normal.HalfNormal method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.transformed_distribution.TransformedDistribution method) (mxnet.gluon.probability.distributions.uniform.Uniform method) Identity (class in mxnet.gluon.nn.basic_layers) identity() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) IdentityAttachKLSparseReg() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) idx_to_token (mxnet.contrib.text.vocab.Vocabulary property) iinfo() (in module mxnet.numpy.type_functions) im2col() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) ImageBboxDataLoader (class in mxnet.gluon.contrib.data.vision.dataloader) ImageDataLoader (class in mxnet.gluon.contrib.data.vision.dataloader) ImageDetIter (class in mxnet.image.detection) ImageDetRecordIter() (in module mxnet.io.io) ImageFolderDataset (class in mxnet.gluon.data.vision.datasets) ImageIter (class in mxnet.image.image) ImageListDataset (class in mxnet.gluon.data.vision.datasets) ImageRecordDataset (class in mxnet.gluon.data.vision.datasets) ImageRecordInt8Iter() (in module mxnet.io.io) ImageRecordIter() (in module mxnet.io.io) ImageRecordIter_v1() (in module mxnet.io.io) ImageRecordUInt8Iter() (in module mxnet.io.io) ImageRecordUInt8Iter_v1() (in module mxnet.io.io) imdecode() (in module mxnet.image.image) (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (mxnet.image.image.ImageIter method) imports() (mxnet.gluon.block.SymbolBlock static method) imread() (in module mxnet.image.image) imresize() (in module mxnet.image.image) imrotate() (in module mxnet.image.image) in1d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Inception3 (class in mxnet.gluon.model_zoo.vision.inception) inception_v3() (in module mxnet.gluon.model_zoo.vision.inception) increment() (mxnet.profiler.Counter method) Independent (class in mxnet.gluon.probability.distributions.independent) index_add() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) index_array() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) index_copy() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) index_update() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) indexing_key_expand_implicit_axes() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) indices (mxnet.ndarray.sparse.CSRNDArray property) (mxnet.ndarray.sparse.RowSparseNDArray property) indices() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) indptr (mxnet.ndarray.sparse.CSRNDArray property) infer_shape() (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.block.SymbolBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) infer_shape_partial() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) infer_type() (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method)

infer_type_partial() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) init() (mxnet.kvstore.kvstore.KVStore method) init_tensorrt_params() (in module mxnet.contrib.tensorrt) initialize() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.parameter.Parameter method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) inner() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) insert() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) instance_norm() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) InstanceNorm (class in mxnet.gluon.nn.basic_layers) InstanceNorm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) IntegerGreaterThan (class in mxnet.gluon.probability.distributions.constraint) IntegerGreaterThanEq (class in mxnet.gluon.probability.distributions.constraint) IntegerHalfOpenInterval (class in mxnet.gluon.probability.distributions.constraint) IntegerInterval (class in mxnet.gluon.probability.distributions.constraint) IntegerLessThan (class in mxnet.gluon.probability.distributions.constraint) IntegerLessThanEq (class in mxnet.gluon.probability.distributions.constraint) IntegerOpenInterval (class in mxnet.gluon.probability.distributions.constraint) interleaved_matmul_encdec_qk() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) interleaved_matmul_encdec_valatt() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) interleaved_matmul_selfatt_qk() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) interleaved_matmul_selfatt_valatt() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) interp() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) intersect1d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Interval (class in mxnet.gluon.probability.distributions.constraint) IntervalSampler (class in mxnet.gluon.data.sampler) intgemm_fully_connected() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) intgemm_maxabsolute() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) intgemm_prepare_data() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) intgemm_prepare_weight() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) intgemm_take_weight() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) inv() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) inverse() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) invert() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) is_capable() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS static method) (mxnet.kvstore.horovod.Horovod static method) (mxnet.kvstore.kvstore.KVStore method) is_enabled() (mxnet.runtime.Features method) is_recording() (in module mxnet.autograd) is_training() (in module mxnet.autograd) isclose() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) isfinite() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) isin() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) isinf() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) isnan() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) isneginf() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) isposinf() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) item() (mxnet.numpy.multiarray.ndarray method) items (mxnet.gluon.data.vision.datasets.ImageFolderDataset attribute) (mxnet.gluon.data.vision.datasets.ImageListDataset attribute) iter_next() (mxnet.contrib.io.DataLoaderIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) ix_() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray)

K

khatri_rao() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) kl_divergence() (in module mxnet.gluon.probability.distributions.divergence)

KLDivLoss (class in mxnet.gluon.loss) kron() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) KVStore (class in mxnet.kvstore.kvstore) KVStoreBase (class in mxnet.kvstore.base) KVStoreServer (class in mxnet.kvstore.kvstore_server)

L

L1Loss (class in mxnet.gluon.loss) L2Loss (class in mxnet.gluon.loss) L2Normalization() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) LAMB (class in mxnet.optimizer) (class in mxnet.optimizer.lamb) lamb_update_phase1() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) lamb_update_phase2() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Lambda (class in mxnet.gluon.nn.basic_layers) LANS (class in mxnet.optimizer) (class in mxnet.optimizer.lans) Laplace (class in mxnet.gluon.probability.distributions.laplace) laplace() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) LARS (class in mxnet.optimizer) (class in mxnet.optimizer.lars) layer_norm() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) LayerNorm (class in mxnet.gluon.nn.basic_layers) LayerNorm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) lcm() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) ldexp() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) leaky_relu() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) LeakyReLU (class in mxnet.gluon.nn.activations) LeakyReLU() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) less() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) less_equal() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) lesser() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) lesser_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) LessThan (class in mxnet.gluon.probability.distributions.constraint) LessThanEq (class in mxnet.gluon.probability.distributions.constraint) lexsort() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) LibSVMIter() (in module mxnet.io.io) LightingAug (class in mxnet.image.image) linalg_det() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_extractdiag() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_extracttrian() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_gelqf() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_gemm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_gemm2() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_inverse() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_makediag() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_maketrian() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_potrf() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_potri() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_slogdet() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_sumlogdiag() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_syrk() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_trmm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) linalg_trsm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) LinearRegressionOutput() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) linspace() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) list_arguments() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) list_attr() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) list_auxiliary_states() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) list_ctx() (mxnet.gluon.parameter.Parameter method) list_data() (mxnet.gluon.parameter.Parameter method) list_device() (mxnet.gluon.parameter.Parameter method) list_grad() (mxnet.gluon.parameter.Parameter method) list_inputs() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) list_outputs() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) list_row_sparse_data() (mxnet.gluon.parameter.Parameter method) load() (in module mxnet.ndarray) (in module mxnet.ndarray.utils) (in module mxnet.numpy_extension.utils) (in module mxnet.symbol) (in module mxnet.symbol.symbol) (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) load_dict() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

load_frombuffer() (in module mxnet.ndarray) (in module mxnet.ndarray.utils) load_optimizer_states() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS method) (mxnet.kvstore.horovod.Horovod method) (mxnet.kvstore.kvstore.KVStore method) load_parameters() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) load_states() (mxnet.gluon.trainer.Trainer method) local_rank (mxnet.kvstore.byteps.BytePS property) log() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) log10() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) log1p() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) log2() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) log_prob() (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.beta.Beta method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor method) (mxnet.gluon.probability.distributions.gamma.Gamma method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy method) (mxnet.gluon.probability.distributions.half_normal.HalfNormal method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.multinomial.Multinomial method) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical method) (mxnet.gluon.probability.distributions.poisson.Poisson method) (mxnet.gluon.probability.distributions.studentT.StudentT method) (mxnet.gluon.probability.distributions.transformed_distribution.TransformedDistribution method) (mxnet.gluon.probability.distributions.uniform.Uniform method) log_sigmoid() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) log_softmax() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) logaddexp() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) logger (mxnet.gluon.contrib.estimator.estimator.Estimator attribute) LoggingHandler (class in mxnet.gluon.contrib.estimator.event_handler) logical_and() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) logical_not() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) logical_or() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) logical_xor() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) logistic() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) LogisticLoss (class in mxnet.gluon.loss) LogisticRegressionOutput() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) logit() (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) logit2prob() (in module mxnet.gluon.probability.distributions.utils) LogMetricsCallback (class in mxnet.contrib.tensorboard) lognormal() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) logspace() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Loss (class in mxnet.gluon.loss) (class in mxnet.gluon.metric) LowerCholesky (class in mxnet.gluon.probability.distributions.constraint) LowerTriangular (class in mxnet.gluon.probability.distributions.constraint) lr_mult (mxnet.gluon.parameter.Parameter attribute) LRN() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) LRScheduler (class in mxnet.lr_scheduler) LSTM (class in mxnet.gluon.rnn.rnn_layer) LSTMCell (class in mxnet.gluon.rnn.rnn_cell) LSTMPCell (class in mxnet.gluon.rnn.rnn_cell) lstsq() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg)

M

MAE (class in mxnet.gluon.metric) MAERegressionOutput() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) make_loss() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) makediag() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) MakeLoss() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) maketrian() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) mark() (mxnet.profiler.Marker method) mark_variables() (in module mxnet.autograd) Marker (class in mxnet.profiler) masked_log_softmax() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) masked_softmax() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) matmul() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) matrix_norm() (in module mxnet.numpy.linalg) matrix_power() (in module mxnet.numpy.fallback_linalg) (in module mxnet.numpy.linalg) matrix_rank() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) matrix_transpose() (in module mxnet.numpy.linalg) max() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) max_axis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) maximum() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.symbol) MaxPool1D (class in mxnet.gluon.nn.conv_layers) MaxPool2D (class in mxnet.gluon.nn.conv_layers) MaxPool3D (class in mxnet.gluon.nn.conv_layers) may_share_memory() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) MCC (class in mxnet.gluon.metric) mean (mxnet.gluon.probability.distributions.bernoulli.Bernoulli property) (mxnet.gluon.probability.distributions.beta.Beta property) (mxnet.gluon.probability.distributions.binomial.Binomial property) (mxnet.gluon.probability.distributions.cauchy.Cauchy property) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet property) (mxnet.gluon.probability.distributions.distribution.Distribution property) (mxnet.gluon.probability.distributions.exponential.Exponential property) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor property) (mxnet.gluon.probability.distributions.gamma.Gamma property) (mxnet.gluon.probability.distributions.geometric.Geometric property) (mxnet.gluon.probability.distributions.gumbel.Gumbel property) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy property) (mxnet.gluon.probability.distributions.half_normal.HalfNormal property) (mxnet.gluon.probability.distributions.independent.Independent property) (mxnet.gluon.probability.distributions.laplace.Laplace property) (mxnet.gluon.probability.distributions.multinomial.Multinomial property) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal property) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial property) (mxnet.gluon.probability.distributions.normal.Normal property) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical property) (mxnet.gluon.probability.distributions.pareto.Pareto property) (mxnet.gluon.probability.distributions.poisson.Poisson property) (mxnet.gluon.probability.distributions.studentT.StudentT property) (mxnet.gluon.probability.distributions.weibull.Weibull property) mean() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) MeanCosineSimilarity (class in mxnet.gluon.metric) MeanPairwiseDistance (class in mxnet.gluon.metric) median() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) meshgrid() (in module mxnet.numpy.function_base) MetricHandler (class in mxnet.gluon.contrib.estimator.event_handler) min() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) min_axis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) min_scalar_type() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) minimum() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.symbol) mish() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) MNIST (class in mxnet.gluon.data.vision.datasets) MNISTIter() (in module mxnet.io.io) MobileNet (class in mxnet.gluon.model_zoo.vision.mobilenet) mobilenet0_25() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet0_5() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet0_75() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet1_0() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet_v2_0_25() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet_v2_0_5() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet_v2_0_75() (in module mxnet.gluon.model_zoo.vision.mobilenet) mobilenet_v2_1_0() (in module mxnet.gluon.model_zoo.vision.mobilenet) MobileNetV2 (class in mxnet.gluon.model_zoo.vision.mobilenet) mod() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) modf() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) ModifierCell (class in mxnet.gluon.rnn.rnn_cell) modulated_deformable_convolution() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) ModulatedDeformableConvolution (class in mxnet.gluon.nn.conv_layers) module mxnet.autograd mxnet.contrib mxnet.contrib.io mxnet.contrib.ndarray mxnet.contrib.onnx mxnet.contrib.quantization mxnet.contrib.symbol mxnet.contrib.tensorboard mxnet.contrib.tensorrt mxnet.contrib.text mxnet.contrib.text.embedding mxnet.contrib.text.utils mxnet.contrib.text.vocab mxnet.device mxnet.gluon mxnet.gluon.block mxnet.gluon.contrib mxnet.gluon.contrib.data mxnet.gluon.contrib.data.vision mxnet.gluon.contrib.data.vision.dataloader mxnet.gluon.contrib.data.vision.transforms mxnet.gluon.contrib.data.vision.transforms.bbox mxnet.gluon.contrib.estimator mxnet.gluon.contrib.estimator.batch_processor mxnet.gluon.contrib.estimator.estimator mxnet.gluon.contrib.estimator.event_handler mxnet.gluon.contrib.estimator.utils mxnet.gluon.data mxnet.gluon.data.batchify mxnet.gluon.data.dataloader mxnet.gluon.data.dataset mxnet.gluon.data.sampler mxnet.gluon.data.vision mxnet.gluon.data.vision.datasets mxnet.gluon.data.vision.transforms mxnet.gluon.data.vision.transforms.image mxnet.gluon.loss mxnet.gluon.metric mxnet.gluon.model_zoo mxnet.gluon.model_zoo.model_store mxnet.gluon.model_zoo.vision mxnet.gluon.model_zoo.vision.densenet mxnet.gluon.model_zoo.vision.inception mxnet.gluon.model_zoo.vision.mobilenet mxnet.gluon.model_zoo.vision.resnet mxnet.gluon.model_zoo.vision.squeezenet mxnet.gluon.model_zoo.vision.vgg mxnet.gluon.nn mxnet.gluon.nn.activations mxnet.gluon.nn.basic_layers mxnet.gluon.nn.conv_layers mxnet.gluon.parameter mxnet.gluon.probability mxnet.gluon.probability.block mxnet.gluon.probability.block.stochastic_block mxnet.gluon.probability.distributions mxnet.gluon.probability.distributions.bernoulli mxnet.gluon.probability.distributions.beta mxnet.gluon.probability.distributions.binomial mxnet.gluon.probability.distributions.categorical mxnet.gluon.probability.distributions.cauchy mxnet.gluon.probability.distributions.chi2 mxnet.gluon.probability.distributions.constraint mxnet.gluon.probability.distributions.dirichlet mxnet.gluon.probability.distributions.distribution mxnet.gluon.probability.distributions.divergence mxnet.gluon.probability.distributions.exp_family mxnet.gluon.probability.distributions.exponential mxnet.gluon.probability.distributions.fishersnedecor mxnet.gluon.probability.distributions.gamma mxnet.gluon.probability.distributions.geometric mxnet.gluon.probability.distributions.gumbel mxnet.gluon.probability.distributions.half_cauchy mxnet.gluon.probability.distributions.half_normal mxnet.gluon.probability.distributions.independent mxnet.gluon.probability.distributions.laplace mxnet.gluon.probability.distributions.multinomial mxnet.gluon.probability.distributions.multivariate_normal mxnet.gluon.probability.distributions.negative_binomial mxnet.gluon.probability.distributions.normal mxnet.gluon.probability.distributions.one_hot_categorical mxnet.gluon.probability.distributions.pareto mxnet.gluon.probability.distributions.poisson mxnet.gluon.probability.distributions.relaxed_bernoulli mxnet.gluon.probability.distributions.relaxed_one_hot_categorical mxnet.gluon.probability.distributions.studentT mxnet.gluon.probability.distributions.transformed_distribution mxnet.gluon.probability.distributions.uniform mxnet.gluon.probability.distributions.utils mxnet.gluon.probability.distributions.weibull mxnet.gluon.probability.transformation mxnet.gluon.rnn mxnet.gluon.rnn.conv_rnn_cell mxnet.gluon.rnn.rnn_cell mxnet.gluon.rnn.rnn_layer mxnet.gluon.trainer mxnet.gluon.utils mxnet.image mxnet.image.detection mxnet.image.image mxnet.io mxnet.io.io mxnet.io.utils mxnet.kvstore mxnet.kvstore.base mxnet.kvstore.byteps mxnet.kvstore.horovod mxnet.kvstore.kvstore mxnet.kvstore.kvstore_server mxnet.lr_scheduler mxnet.ndarray mxnet.ndarray.contrib mxnet.ndarray.gen__internal mxnet.ndarray.gen_contrib mxnet.ndarray.gen_image mxnet.ndarray.gen_linalg mxnet.ndarray.gen_op mxnet.ndarray.gen_random mxnet.ndarray.gen_sparse mxnet.ndarray.image mxnet.ndarray.linalg mxnet.ndarray.ndarray mxnet.ndarray.numpy mxnet.ndarray.numpy.linalg mxnet.ndarray.numpy.random mxnet.ndarray.numpy_extension mxnet.ndarray.numpy_extension.control_flow mxnet.ndarray.numpy_extension.image mxnet.ndarray.numpy_extension.random mxnet.ndarray.op mxnet.ndarray.random mxnet.ndarray.register mxnet.ndarray.sparse mxnet.ndarray.utils mxnet.numpy mxnet.numpy.arrayprint mxnet.numpy.fallback mxnet.numpy.fallback_linalg mxnet.numpy.function_base mxnet.numpy.io mxnet.numpy.linalg mxnet.numpy.multiarray mxnet.numpy.random mxnet.numpy.set_functions mxnet.numpy.stride_tricks mxnet.numpy.type_functions mxnet.numpy.utils mxnet.numpy_extension mxnet.numpy_extension.control_flow mxnet.numpy_extension.image mxnet.numpy_extension.random mxnet.numpy_extension.utils mxnet.optimizer mxnet.optimizer.adabelief mxnet.optimizer.adadelta mxnet.optimizer.adagrad mxnet.optimizer.adam mxnet.optimizer.adamax mxnet.optimizer.adamW mxnet.optimizer.contrib mxnet.optimizer.dcasgd mxnet.optimizer.ftml mxnet.optimizer.ftrl mxnet.optimizer.lamb mxnet.optimizer.lans mxnet.optimizer.lars mxnet.optimizer.nadam mxnet.optimizer.nag mxnet.optimizer.optimizer mxnet.optimizer.rmsprop mxnet.optimizer.sgd mxnet.optimizer.sgld mxnet.optimizer.signum mxnet.optimizer.updater mxnet.optimizer.utils mxnet.profiler mxnet.runtime mxnet.symbol mxnet.symbol.contrib mxnet.symbol.gen__internal mxnet.symbol.gen_contrib mxnet.symbol.gen_image mxnet.symbol.gen_linalg mxnet.symbol.gen_op mxnet.symbol.gen_random mxnet.symbol.gen_sparse mxnet.symbol.image mxnet.symbol.linalg mxnet.symbol.numpy mxnet.symbol.numpy.linalg mxnet.symbol.numpy.random mxnet.symbol.numpy_extension mxnet.symbol.numpy_extension.image mxnet.symbol.numpy_extension.random mxnet.symbol.op mxnet.symbol.random mxnet.symbol.register mxnet.symbol.sparse mxnet.symbol.symbol modulo() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) moments() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) moveaxis() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) mp_lamb_update_phase1() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) mp_lamb_update_phase2() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) mp_nag_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) mp_sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) mp_sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) MSE (class in mxnet.gluon.metric) mT (mxnet.numpy.multiarray.ndarray property) multi_all_finite() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multi_dot() (in module mxnet.numpy.fallback_linalg) (in module mxnet.numpy.linalg) multi_lars() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multi_mp_sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op)

multi_mp_sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multi_sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multi_sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multi_sum_sq() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) multibox_detection() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) multibox_prior() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) multibox_target() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) MultiBoxDetection() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) MultiBoxPrior() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) MultiBoxTarget() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) MultiFactorScheduler (class in mxnet.lr_scheduler) Multinomial (class in mxnet.gluon.probability.distributions.multinomial) multinomial() (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.numpy_extension.random) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.numpy_extension.random) (in module mxnet.symbol.numpy_extension.random) (in module mxnet.symbol.random) multiply() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) MultiProposal() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) multivariate_normal() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) MultivariateNormal (class in mxnet.gluon.probability.distributions.multivariate_normal) MXDataIter (class in mxnet.io.io) mxnet.autograd module mxnet.contrib module mxnet.contrib.io module mxnet.contrib.ndarray module mxnet.contrib.onnx module mxnet.contrib.quantization module mxnet.contrib.symbol module mxnet.contrib.tensorboard module mxnet.contrib.tensorrt module mxnet.contrib.text module mxnet.contrib.text.embedding module mxnet.contrib.text.utils module mxnet.contrib.text.vocab module mxnet.device module mxnet.gluon module mxnet.gluon.block module mxnet.gluon.contrib module mxnet.gluon.contrib.data module mxnet.gluon.contrib.data.vision module mxnet.gluon.contrib.data.vision.dataloader module mxnet.gluon.contrib.data.vision.transforms module mxnet.gluon.contrib.data.vision.transforms.bbox module mxnet.gluon.contrib.estimator module mxnet.gluon.contrib.estimator.batch_processor module mxnet.gluon.contrib.estimator.estimator module mxnet.gluon.contrib.estimator.event_handler module mxnet.gluon.contrib.estimator.utils module mxnet.gluon.data module mxnet.gluon.data.batchify module mxnet.gluon.data.dataloader module mxnet.gluon.data.dataset module mxnet.gluon.data.sampler module mxnet.gluon.data.vision module mxnet.gluon.data.vision.datasets module mxnet.gluon.data.vision.transforms module mxnet.gluon.data.vision.transforms.image module mxnet.gluon.loss module mxnet.gluon.metric module mxnet.gluon.model_zoo module mxnet.gluon.model_zoo.model_store module mxnet.gluon.model_zoo.vision module mxnet.gluon.model_zoo.vision.densenet module mxnet.gluon.model_zoo.vision.inception module mxnet.gluon.model_zoo.vision.mobilenet module mxnet.gluon.model_zoo.vision.resnet module mxnet.gluon.model_zoo.vision.squeezenet module mxnet.gluon.model_zoo.vision.vgg module mxnet.gluon.nn module mxnet.gluon.nn.activations module mxnet.gluon.nn.basic_layers module mxnet.gluon.nn.conv_layers module mxnet.gluon.parameter module mxnet.gluon.probability module mxnet.gluon.probability.block module mxnet.gluon.probability.block.stochastic_block module mxnet.gluon.probability.distributions module mxnet.gluon.probability.distributions.bernoulli module mxnet.gluon.probability.distributions.beta module mxnet.gluon.probability.distributions.binomial module mxnet.gluon.probability.distributions.categorical module mxnet.gluon.probability.distributions.cauchy module mxnet.gluon.probability.distributions.chi2 module mxnet.gluon.probability.distributions.constraint module mxnet.gluon.probability.distributions.dirichlet module mxnet.gluon.probability.distributions.distribution module mxnet.gluon.probability.distributions.divergence module mxnet.gluon.probability.distributions.exp_family module mxnet.gluon.probability.distributions.exponential module mxnet.gluon.probability.distributions.fishersnedecor module mxnet.gluon.probability.distributions.gamma module mxnet.gluon.probability.distributions.geometric module mxnet.gluon.probability.distributions.gumbel module mxnet.gluon.probability.distributions.half_cauchy module mxnet.gluon.probability.distributions.half_normal module mxnet.gluon.probability.distributions.independent module mxnet.gluon.probability.distributions.laplace module mxnet.gluon.probability.distributions.multinomial module mxnet.gluon.probability.distributions.multivariate_normal module mxnet.gluon.probability.distributions.negative_binomial module mxnet.gluon.probability.distributions.normal module mxnet.gluon.probability.distributions.one_hot_categorical module mxnet.gluon.probability.distributions.pareto module mxnet.gluon.probability.distributions.poisson module mxnet.gluon.probability.distributions.relaxed_bernoulli module mxnet.gluon.probability.distributions.relaxed_one_hot_categorical module mxnet.gluon.probability.distributions.studentT module mxnet.gluon.probability.distributions.transformed_distribution module mxnet.gluon.probability.distributions.uniform module mxnet.gluon.probability.distributions.utils module mxnet.gluon.probability.distributions.weibull module mxnet.gluon.probability.transformation module mxnet.gluon.rnn module mxnet.gluon.rnn.conv_rnn_cell module mxnet.gluon.rnn.rnn_cell module mxnet.gluon.rnn.rnn_layer module mxnet.gluon.trainer module mxnet.gluon.utils module mxnet.image module mxnet.image.detection module mxnet.image.image module mxnet.io module mxnet.io.io module mxnet.io.utils module mxnet.kvstore module mxnet.kvstore.base module mxnet.kvstore.byteps module mxnet.kvstore.horovod module mxnet.kvstore.kvstore module mxnet.kvstore.kvstore_server module mxnet.lr_scheduler module mxnet.ndarray module mxnet.ndarray.contrib module mxnet.ndarray.gen__internal module mxnet.ndarray.gen_contrib module mxnet.ndarray.gen_image module mxnet.ndarray.gen_linalg module mxnet.ndarray.gen_op module mxnet.ndarray.gen_random module mxnet.ndarray.gen_sparse module mxnet.ndarray.image module mxnet.ndarray.linalg module mxnet.ndarray.ndarray module mxnet.ndarray.numpy module mxnet.ndarray.numpy.linalg module mxnet.ndarray.numpy.random module mxnet.ndarray.numpy_extension module mxnet.ndarray.numpy_extension.control_flow module mxnet.ndarray.numpy_extension.image module mxnet.ndarray.numpy_extension.random module mxnet.ndarray.op module mxnet.ndarray.random module mxnet.ndarray.register module mxnet.ndarray.sparse module mxnet.ndarray.utils module mxnet.numpy module mxnet.numpy.arrayprint module mxnet.numpy.fallback module mxnet.numpy.fallback_linalg module mxnet.numpy.function_base module mxnet.numpy.io module mxnet.numpy.linalg module mxnet.numpy.multiarray module mxnet.numpy.random module mxnet.numpy.set_functions module mxnet.numpy.stride_tricks module mxnet.numpy.type_functions module mxnet.numpy.utils module mxnet.numpy_extension module mxnet.numpy_extension.control_flow module mxnet.numpy_extension.image module mxnet.numpy_extension.random module mxnet.numpy_extension.utils module mxnet.optimizer module mxnet.optimizer.adabelief module mxnet.optimizer.adadelta module mxnet.optimizer.adagrad module mxnet.optimizer.adam module mxnet.optimizer.adamax module mxnet.optimizer.adamW module mxnet.optimizer.contrib module mxnet.optimizer.dcasgd module mxnet.optimizer.ftml module mxnet.optimizer.ftrl module mxnet.optimizer.lamb module mxnet.optimizer.lans module mxnet.optimizer.lars module mxnet.optimizer.nadam module mxnet.optimizer.nag module mxnet.optimizer.optimizer module mxnet.optimizer.rmsprop module mxnet.optimizer.sgd module mxnet.optimizer.sgld module mxnet.optimizer.signum module mxnet.optimizer.updater module mxnet.optimizer.utils module mxnet.profiler module mxnet.runtime module mxnet.symbol module mxnet.symbol.contrib module mxnet.symbol.gen__internal module mxnet.symbol.gen_contrib module mxnet.symbol.gen_image module mxnet.symbol.gen_linalg module mxnet.symbol.gen_op module mxnet.symbol.gen_random module mxnet.symbol.gen_sparse module mxnet.symbol.image module mxnet.symbol.linalg module mxnet.symbol.numpy module mxnet.symbol.numpy.linalg module mxnet.symbol.numpy.random module mxnet.symbol.numpy_extension module mxnet.symbol.numpy_extension.image module mxnet.symbol.numpy_extension.random module mxnet.symbol.op module mxnet.symbol.random module mxnet.symbol.register module mxnet.symbol.sparse module mxnet.symbol.symbol module

N

Nadam (class in mxnet.optimizer) (class in mxnet.optimizer.nadam) NAG (class in mxnet.optimizer) (class in mxnet.optimizer.nag) nag_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) name (mxnet.runtime.Feature property) (mxnet.symbol.Symbol property) (mxnet.symbol.symbol.Symbol property) nan_to_num() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) nanargmax() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanargmin() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nancumprod() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nancumsum() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanmax() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanmedian() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanmin() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanpercentile() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanprod() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) nanquantile() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nanstd() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) nansum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) nanvar() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) NDArray (class in mxnet.ndarray) (class in mxnet.ndarray.ndarray) ndarray (class in mxnet.numpy.multiarray) NDArrayIter (class in mxnet.io.io) ndim (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray attribute) (mxnet.numpy.multiarray.ndarray property) ndim() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) negative() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse)

negative_binomial() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) negative_binomial_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) NegativeBinomial (class in mxnet.gluon.probability.distributions.negative_binomial) new_counter() (mxnet.profiler.Domain method) new_frame() (mxnet.profiler.Domain method) new_marker() (mxnet.profiler.Domain method) new_task() (mxnet.profiler.Domain method) next() (mxnet.image.detection.ImageDetIter method) (mxnet.image.image.ImageIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) next_sample() (mxnet.image.image.ImageIter method) NonNegative (class in mxnet.gluon.probability.distributions.constraint) NonNegativeInteger (class in mxnet.gluon.probability.distributions.constraint) nonzero() (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.numpy_extension) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy_extension) (mxnet.numpy.multiarray.ndarray method) norm() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy.linalg) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.linalg) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy.linalg) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) Normal (class in mxnet.gluon.probability.distributions.normal) normal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.op) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.op) (in module mxnet.symbol.random) normal_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) normal_n() (in module mxnet.ndarray.numpy_extension.random) (in module mxnet.numpy_extension.random) (in module mxnet.symbol.numpy_extension.random) Normalize (class in mxnet.gluon.data.vision.transforms.image) normalize() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) not_equal() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) np() (in module mxnet.gluon.metric) num_gpus() (in module mxnet.device) num_workers (mxnet.kvstore.base.KVStoreBase property) (mxnet.kvstore.byteps.BytePS property) (mxnet.kvstore.horovod.Horovod property) (mxnet.kvstore.kvstore.KVStore property)

O

one_hot() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) onehot_encode() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) OneHotCategorical (class in mxnet.gluon.probability.distributions.one_hot_categorical) ones() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) ones_like() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) OpenInterval (class in mxnet.gluon.probability.distributions.constraint) optimize_for() (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method)

Optimizer (class in mxnet.optimizer) (class in mxnet.optimizer.optimizer) outer() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.linalg) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy)

P

packbits() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Pad (class in mxnet.gluon.data.batchify) Pad() (in module mxnet.ndarray) pad() (in module mxnet.ndarray) Pad() (in module mxnet.ndarray.gen_op) pad() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.numpy_extension) Pad() (in module mxnet.ndarray.op) pad() (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) Pad() (in module mxnet.symbol) pad() (in module mxnet.symbol) Pad() (in module mxnet.symbol.gen_op) pad() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.numpy_extension) Pad() (in module mxnet.symbol.op) pad() (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) Parameter (class in mxnet.gluon.parameter) params (mxnet.gluon.block.Block property) (mxnet.gluon.data.vision.transforms.Cast property) (mxnet.gluon.data.vision.transforms.image.CenterCrop property) (mxnet.gluon.data.vision.transforms.image.CropResize property) (mxnet.gluon.data.vision.transforms.image.Normalize property) (mxnet.gluon.data.vision.transforms.image.RandomBrightness property) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter property) (mxnet.gluon.data.vision.transforms.image.RandomContrast property) (mxnet.gluon.data.vision.transforms.image.RandomCrop property) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight property) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom property) (mxnet.gluon.data.vision.transforms.image.RandomGray property) (mxnet.gluon.data.vision.transforms.image.RandomHue property) (mxnet.gluon.data.vision.transforms.image.RandomLighting property) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop property) (mxnet.gluon.data.vision.transforms.image.RandomRotation property) (mxnet.gluon.data.vision.transforms.image.RandomSaturation property) (mxnet.gluon.data.vision.transforms.image.Resize property) (mxnet.gluon.data.vision.transforms.image.Rotate property) (mxnet.gluon.data.vision.transforms.image.ToTensor property) (mxnet.gluon.loss.CosineEmbeddingLoss property) (mxnet.gluon.loss.CTCLoss property) (mxnet.gluon.loss.HingeLoss property) (mxnet.gluon.loss.HuberLoss property) (mxnet.gluon.loss.KLDivLoss property) (mxnet.gluon.loss.L1Loss property) (mxnet.gluon.loss.L2Loss property) (mxnet.gluon.loss.LogisticLoss property) (mxnet.gluon.loss.Loss property) (mxnet.gluon.loss.PoissonNLLLoss property) (mxnet.gluon.loss.SDMLLoss property) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss property) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss property) (mxnet.gluon.loss.SquaredHingeLoss property) (mxnet.gluon.loss.TripletLoss property) (mxnet.gluon.model_zoo.vision.densenet.DenseNet property) (mxnet.gluon.model_zoo.vision.inception.Inception3 property) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet property) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 property) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 property) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 property) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 property) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 property) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 property) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 property) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet property) (mxnet.gluon.model_zoo.vision.vgg.VGG property) (mxnet.gluon.nn.activations.Activation property) (mxnet.gluon.nn.activations.ELU property) (mxnet.gluon.nn.activations.GELU property) (mxnet.gluon.nn.activations.LeakyReLU property) (mxnet.gluon.nn.activations.PReLU property) (mxnet.gluon.nn.activations.SELU property) (mxnet.gluon.nn.activations.SiLU property) (mxnet.gluon.nn.activations.Swish property) (mxnet.gluon.nn.basic_layers.Concatenate property) (mxnet.gluon.nn.basic_layers.Dense property) (mxnet.gluon.nn.basic_layers.Dropout property) (mxnet.gluon.nn.basic_layers.Embedding property) (mxnet.gluon.nn.basic_layers.Flatten property) (mxnet.gluon.nn.basic_layers.GroupNorm property) (mxnet.gluon.nn.basic_layers.HybridConcatenate property) (mxnet.gluon.nn.basic_layers.HybridLambda property) (mxnet.gluon.nn.basic_layers.HybridSequential property) (mxnet.gluon.nn.basic_layers.Identity property) (mxnet.gluon.nn.basic_layers.InstanceNorm property) (mxnet.gluon.nn.basic_layers.LayerNorm property) (mxnet.gluon.nn.basic_layers.SyncBatchNorm property) (mxnet.gluon.nn.conv_layers.DeformableConvolution property) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution property) (mxnet.gluon.nn.conv_layers.PixelShuffle1D property) (mxnet.gluon.nn.conv_layers.PixelShuffle2D property) (mxnet.gluon.nn.conv_layers.PixelShuffle3D property) (mxnet.gluon.nn.conv_layers.ReflectionPad2D property) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell property) (mxnet.gluon.rnn.rnn_cell.DropoutCell property) (mxnet.gluon.rnn.rnn_cell.GRUCell property) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell property) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell property) (mxnet.gluon.rnn.rnn_cell.LSTMCell property) (mxnet.gluon.rnn.rnn_cell.LSTMPCell property) (mxnet.gluon.rnn.rnn_cell.ModifierCell property) (mxnet.gluon.rnn.rnn_cell.RecurrentCell property) (mxnet.gluon.rnn.rnn_cell.ResidualCell property) (mxnet.gluon.rnn.rnn_cell.RNNCell property) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell property) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell property) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell property) Pareto (class in mxnet.gluon.probability.distributions.pareto) pareto() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) partition() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) pause() (in module mxnet.autograd) (in module mxnet.profiler) PCC (class in mxnet.gluon.metric) pdf() (mxnet.gluon.probability.distributions.distribution.Distribution method) pdf_dirichlet() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_exponential() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_gamma() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_generalized_negative_binomial() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_negative_binomial() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_normal() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_poisson() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) pdf_uniform() (in module mxnet.ndarray.gen_random) (in module mxnet.symbol.gen_random) PearsonCorrelation (class in mxnet.gluon.metric) percentile() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) permute_dims() (in module mxnet.numpy.multiarray) Perplexity (class in mxnet.gluon.metric) perplexity() (mxnet.gluon.probability.distributions.distribution.Distribution method) pick() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method)

piecewise() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) pinv() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) PixelShuffle1D (class in mxnet.gluon.nn.conv_layers) PixelShuffle2D (class in mxnet.gluon.nn.conv_layers) PixelShuffle3D (class in mxnet.gluon.nn.conv_layers) Poisson (class in mxnet.gluon.probability.distributions.poisson) poisson() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) poisson_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) PoissonNLLLoss (class in mxnet.gluon.loss) poly() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polyadd() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polydiv() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polyfit() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polyint() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polymul() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) PolyScheduler (class in mxnet.lr_scheduler) polysub() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) polyval() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Pooling() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) pooling() (in module mxnet.ndarray.numpy_extension) Pooling() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) pooling() (in module mxnet.symbol.numpy_extension) Pooling() (in module mxnet.symbol.op) Positive (class in mxnet.gluon.probability.distributions.constraint) positive() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) PositiveDefinite (class in mxnet.gluon.probability.distributions.constraint) PositiveInteger (class in mxnet.gluon.probability.distributions.constraint) post_collect() (mxnet.contrib.quantization.CalibrationCollector method) postprocess_data() (mxnet.image.image.ImageIter method) potrf() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) potri() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) pow() (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.symbol) power() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.multiarray) (in module mxnet.numpy.random) (in module mxnet.symbol) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.symbol) pre_infer_offset_weight() (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) pre_infer_weight() (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) predict_mode() (in module mxnet.autograd) predict_with_threshold() (in module mxnet.gluon.metric) PrefetchingIter (class in mxnet.io.io) preloaded_multi_mp_sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) preloaded_multi_mp_sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) preloaded_multi_sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) preloaded_multi_sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) PReLU (class in mxnet.gluon.nn.activations) prob() (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) prob2logit() (in module mxnet.gluon.probability.distributions.utils) prod() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) product() (in module mxnet.ndarray.numpy) (in module mxnet.symbol.numpy) profiler_set_config() (in module mxnet.profiler) profiler_set_state() (in module mxnet.profiler) promote_types() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) Proposal() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) provide_data (mxnet.io.io.NDArrayIter property) provide_label (mxnet.io.io.NDArrayIter property) PSROIPooling() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) ptp() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) pull() (mxnet.kvstore.kvstore.KVStore method) purge() (in module mxnet.gluon.model_zoo.model_store) push() (mxnet.kvstore.kvstore.KVStore method) pushpull() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS method) (mxnet.kvstore.horovod.Horovod method) (mxnet.kvstore.kvstore.KVStore method)

Q

qr() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) quadratic() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantile() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) quantize() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantize_asym() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantize_graph() (in module mxnet.contrib.quantization) quantize_model() (in module mxnet.contrib.quantization) quantize_model_onednn() (in module mxnet.contrib.quantization) quantize_net() (in module mxnet.contrib.quantization) quantize_v2() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantized_act() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_batch_norm() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantized_batch_norm_relu() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantized_concat() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantized_conv() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_elemwise_add() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_elemwise_mul() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension)

quantized_embedding() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_flatten() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_fully_connected() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_npi_add() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_pooling() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) quantized_reshape() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) quantized_rnn() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) quantized_transpose() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op)

R

rad2deg() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) radians() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) rand() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) rand_zipfian() (in module mxnet.ndarray.contrib) (in module mxnet.symbol.contrib) randint() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.random) randn() (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol.random) random_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_brightness() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_color_jitter() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_contrast() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_crop() (in module mxnet.image.image) (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_exponential() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_flip_left_right() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_flip_top_bottom() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_gamma() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_generalized_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_hue() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_lighting() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_normal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_dirichlet() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_exponential() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_gamma() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_generalized_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_normal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_poisson() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_pdf_uniform() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_poisson() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_randint() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) random_resized_crop() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_rotate() (in module mxnet.image.image) random_saturation() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) random_size_crop() (in module mxnet.image.image) random_uniform() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) RandomApply (class in mxnet.gluon.data.vision.transforms) RandomBrightness (class in mxnet.gluon.data.vision.transforms.image) RandomColorJitter (class in mxnet.gluon.data.vision.transforms.image) RandomContrast (class in mxnet.gluon.data.vision.transforms.image) RandomCrop (class in mxnet.gluon.data.vision.transforms.image) RandomCropAug (class in mxnet.image.image) RandomFlipLeftRight (class in mxnet.gluon.data.vision.transforms.image) RandomFlipTopBottom (class in mxnet.gluon.data.vision.transforms.image) RandomGray (class in mxnet.gluon.data.vision.transforms.image) RandomGrayAug (class in mxnet.image.image) RandomHue (class in mxnet.gluon.data.vision.transforms.image) RandomLighting (class in mxnet.gluon.data.vision.transforms.image) RandomOrderAug (class in mxnet.image.image) RandomResizedCrop (class in mxnet.gluon.data.vision.transforms.image) RandomRotation (class in mxnet.gluon.data.vision.transforms.image) RandomSampler (class in mxnet.gluon.data.sampler) RandomSampler() (in module mxnet.io.io) RandomSaturation (class in mxnet.gluon.data.vision.transforms.image) RandomSizedCropAug (class in mxnet.image.image) rank (mxnet.kvstore.base.KVStoreBase property) (mxnet.kvstore.byteps.BytePS property) (mxnet.kvstore.horovod.Horovod property) (mxnet.kvstore.kvstore.KVStore property) ravel() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) (mxnet.numpy.multiarray.ndarray method) ravel_multi_index() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) rayleigh() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) rcbrt() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) read_image() (mxnet.image.image.ImageIter method) Real (class in mxnet.gluon.probability.distributions.constraint) real() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) reciprocal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) record() (in module mxnet.autograd) RecordFileDataset (class in mxnet.gluon.data.dataset) RecurrentCell (class in mxnet.gluon.rnn.rnn_cell) ReflectionPad2D (class in mxnet.gluon.nn.conv_layers) register() (in module mxnet.contrib.text.embedding) (in module mxnet.optimizer) (in module mxnet.optimizer.optimizer) (mxnet.kvstore.base.KVStoreBase static method) (mxnet.optimizer.Optimizer static method) (mxnet.optimizer.optimizer.Optimizer static method) register_child() (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) register_forward_hook() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) register_forward_pre_hook() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) register_kl() (in module mxnet.gluon.probability.distributions.divergence) register_op_hook() (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

RelaxedBernoulli (class in mxnet.gluon.probability.distributions.relaxed_bernoulli) RelaxedOneHotCategorical (class in mxnet.gluon.probability.distributions.relaxed_one_hot_categorical) relu() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) remainder() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) repeat() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) replace_file() (in module mxnet.gluon.utils) requantize() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) reserved_tokens (mxnet.contrib.text.vocab.Vocabulary attribute) reset() (mxnet.contrib.io.DataLoaderIter method) (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) (mxnet.image.image.ImageIter method) (mxnet.io.io.DataIter method) (mxnet.io.io.MXDataIter method) (mxnet.io.io.NDArrayIter method) (mxnet.io.io.PrefetchingIter method) (mxnet.io.io.ResizeIter method) reset_arrays() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) reset_ctx() (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.parameter.Parameter method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) reset_device() (mxnet.gluon.block.Block method) (mxnet.gluon.block.HybridBlock method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.parameter.Parameter method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) Reshape() (in module mxnet.ndarray) reshape() (in module mxnet.ndarray) Reshape() (in module mxnet.ndarray.gen_op) reshape() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.numpy_extension) Reshape() (in module mxnet.ndarray.op) reshape() (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) Reshape() (in module mxnet.symbol) reshape() (in module mxnet.symbol) Reshape() (in module mxnet.symbol.gen_op) reshape() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.numpy_extension) Reshape() (in module mxnet.symbol.op) reshape() (in module mxnet.symbol.op) (mxnet.image.detection.ImageDetIter method) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.ndarray.sparse.BaseSparseNDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) reshape_like() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) reshape_view() (mxnet.numpy.multiarray.ndarray method) ResidualCell (class in mxnet.gluon.rnn.rnn_cell) Resize (class in mxnet.gluon.data.vision.transforms.image) resize() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy.multiarray) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy) (in module mxnet.symbol.numpy_extension.image) resize_short() (in module mxnet.image.image) ResizeAug (class in mxnet.image.image) ResizeIter (class in mxnet.io.io) resnet101_v1() (in module mxnet.gluon.model_zoo.vision.resnet) resnet101_v2() (in module mxnet.gluon.model_zoo.vision.resnet) resnet152_v1() (in module mxnet.gluon.model_zoo.vision.resnet) resnet152_v2() (in module mxnet.gluon.model_zoo.vision.resnet) resnet18_v1() (in module mxnet.gluon.model_zoo.vision.resnet) resnet18_v2() (in module mxnet.gluon.model_zoo.vision.resnet) resnet34_v1() (in module mxnet.gluon.model_zoo.vision.resnet) resnet34_v2() (in module mxnet.gluon.model_zoo.vision.resnet) resnet50_v1() (in module mxnet.gluon.model_zoo.vision.resnet) resnet50_v2() (in module mxnet.gluon.model_zoo.vision.resnet) ResNetV1 (class in mxnet.gluon.model_zoo.vision.resnet) ResNetV2 (class in mxnet.gluon.model_zoo.vision.resnet) result_type() (in module mxnet.numpy.type_functions) resume() (in module mxnet.profiler) retain() (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.sparse) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.sparse) (mxnet.ndarray.sparse.RowSparseNDArray method) reverse() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) rint() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) RMSE (class in mxnet.gluon.metric) RMSProp (class in mxnet.optimizer) (class in mxnet.optimizer.rmsprop) rmsprop_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) rmspropalex_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) RNN (class in mxnet.gluon.rnn.rnn_layer) RNN() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) rnn() (in module mxnet.ndarray.numpy_extension) RNN() (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) rnn() (in module mxnet.symbol.numpy_extension) RNN() (in module mxnet.symbol.op) RNNCell (class in mxnet.gluon.rnn.rnn_cell) roi_pooling() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) ROIAlign() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) ROIPooling() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) roll() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) rollaxis() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) roots() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) rot90() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) Rotate (class in mxnet.gluon.data.vision.transforms.image) round() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) round_() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) round_ste() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) row_sparse_array() (in module mxnet.ndarray.sparse) row_sparse_data() (mxnet.gluon.parameter.Parameter method) row_sparse_pull() (mxnet.kvstore.kvstore.KVStore method) row_stack() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) RowSparseNDArray (class in mxnet.ndarray.sparse) RROIAlign() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) rsqrt() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) run() (mxnet.kvstore.kvstore_server.KVStoreServer method)

S

sample() (mxnet.gluon.data.dataset.Dataset method) (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.beta.Beta method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor method) (mxnet.gluon.probability.distributions.gamma.Gamma method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.multinomial.Multinomial method) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical method) (mxnet.gluon.probability.distributions.pareto.Pareto method) (mxnet.gluon.probability.distributions.poisson.Poisson method) (mxnet.gluon.probability.distributions.studentT.StudentT method) (mxnet.gluon.probability.distributions.transformed_distribution.TransformedDistribution method) (mxnet.gluon.probability.distributions.uniform.Uniform method) (mxnet.gluon.probability.distributions.weibull.Weibull method) sample_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_categorical() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_exponential() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_gamma() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_generalized_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_multinomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_n() (mxnet.gluon.probability.distributions.bernoulli.Bernoulli method) (mxnet.gluon.probability.distributions.beta.Beta method) (mxnet.gluon.probability.distributions.binomial.Binomial method) (mxnet.gluon.probability.distributions.categorical.Categorical method) (mxnet.gluon.probability.distributions.cauchy.Cauchy method) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet method) (mxnet.gluon.probability.distributions.distribution.Distribution method) (mxnet.gluon.probability.distributions.exponential.Exponential method) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor method) (mxnet.gluon.probability.distributions.gamma.Gamma method) (mxnet.gluon.probability.distributions.geometric.Geometric method) (mxnet.gluon.probability.distributions.gumbel.Gumbel method) (mxnet.gluon.probability.distributions.independent.Independent method) (mxnet.gluon.probability.distributions.laplace.Laplace method) (mxnet.gluon.probability.distributions.multinomial.Multinomial method) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal method) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial method) (mxnet.gluon.probability.distributions.normal.Normal method) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical method) (mxnet.gluon.probability.distributions.pareto.Pareto method) (mxnet.gluon.probability.distributions.poisson.Poisson method) (mxnet.gluon.probability.distributions.studentT.StudentT method) (mxnet.gluon.probability.distributions.transformed_distribution.TransformedDistribution method) (mxnet.gluon.probability.distributions.uniform.Uniform method) (mxnet.gluon.probability.distributions.weibull.Weibull method) sample_n_shape_converter() (in module mxnet.gluon.probability.distributions.utils) sample_negative_binomial() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_normal() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_poisson() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sample_uniform() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Sampler (class in mxnet.gluon.data.sampler) SaturationJitterAug (class in mxnet.image.image) save() (in module mxnet.ndarray) (in module mxnet.ndarray.utils) (in module mxnet.numpy_extension.utils) (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) save_optimizer_states() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS method) (mxnet.kvstore.horovod.Horovod method) (mxnet.kvstore.kvstore.KVStore method) save_parameters() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) save_states() (mxnet.gluon.trainer.Trainer method) savez() (in module mxnet.numpy_extension.utils) scalar_poisson() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) scale_down() (in module mxnet.image.image) scatter_nd() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) scope() (in module mxnet.profiler) SDMLLoss (class in mxnet.gluon.loss) searchsorted() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) seed() (in module mxnet.numpy.random) (in module mxnet.numpy_extension.random) select() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) SELU (class in mxnet.gluon.nn.activations) sequence_last() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) sequence_mask() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) sequence_reverse() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) SequenceLast() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) SequenceMask() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) SequenceReverse() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Sequential (class in mxnet.gluon.nn.basic_layers) SequentialAug (class in mxnet.image.image) SequentialRNNCell (class in mxnet.gluon.rnn.rnn_cell) SequentialSampler (class in mxnet.gluon.data.sampler) SequentialSampler() (in module mxnet.io.io) set_config() (in module mxnet.profiler) set_data() (mxnet.gluon.parameter.Parameter method) set_gradient_compression() (mxnet.kvstore.kvstore.KVStore method) set_learning_rate() (mxnet.gluon.trainer.Trainer method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) set_lr_mult() (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) set_optimizer() (mxnet.kvstore.base.KVStoreBase method) (mxnet.kvstore.byteps.BytePS method) (mxnet.kvstore.horovod.Horovod method) (mxnet.kvstore.kvstore.KVStore method) set_printoptions() (in module mxnet.numpy.arrayprint) set_recording() (in module mxnet.autograd) set_state() (in module mxnet.profiler) set_states() (mxnet.optimizer.Updater method) (mxnet.optimizer.updater.Updater method) set_training() (in module mxnet.autograd) set_use_fp16() (in module mxnet.contrib.tensorrt) set_value() (mxnet.profiler.Counter method) set_wd_mult() (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) setattr() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) setdiff1d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) setxor1d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) SGD (class in mxnet.optimizer) (class in mxnet.optimizer.sgd) sgd_mom_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) sgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) SGLD (class in mxnet.optimizer) (class in mxnet.optimizer.sgld) shape (mxnet.gluon.parameter.Parameter property) (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray attribute) (mxnet.numpy.multiarray.ndarray property) shape() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) shape_array() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) shard() (mxnet.gluon.data.dataset.Dataset method) share_parameters() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) shares_memory() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) shuffle() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.op) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.op) (in module mxnet.symbol.random) sigmoid() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) SigmoidBCELoss (in module mxnet.gluon.loss) SigmoidBinaryCrossEntropyLoss (class in mxnet.gluon.loss) sign() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method)

sign_ste() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) signbit() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) signsgd_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Signum (class in mxnet.optimizer) (class in mxnet.optimizer.signum) signum_update() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) SiLU (class in mxnet.gluon.nn.activations) SimpleDataset (class in mxnet.gluon.data.dataset) Simplex (class in mxnet.gluon.probability.distributions.constraint) sin() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) sinh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) size (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.ndarray.sparse.BaseSparseNDArray property) (mxnet.numpy.multiarray.ndarray attribute) (mxnet.numpy.multiarray.ndarray property) size() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) size_array() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) sldwin_atten_context() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) sldwin_atten_mask_like() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) sldwin_atten_score() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) (in module mxnet.symbol.numpy_extension) slice() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) slice_assign() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) slice_assign_scalar() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) slice_axis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) slice_channel() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) slice_like() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) SliceChannel() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) slogdet() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) (in module mxnet.symbol.numpy.linalg) smooth_l1() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) Softmax() (in module mxnet.ndarray) softmax() (in module mxnet.ndarray) Softmax() (in module mxnet.ndarray.gen_op) softmax() (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) Softmax() (in module mxnet.ndarray.op) softmax() (in module mxnet.ndarray.op) Softmax() (in module mxnet.symbol) softmax() (in module mxnet.symbol) Softmax() (in module mxnet.symbol.gen_op) softmax() (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) Softmax() (in module mxnet.symbol.op) softmax() (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) softmax_cross_entropy() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) SoftmaxActivation() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) SoftmaxCELoss (in module mxnet.gluon.loss) SoftmaxCrossEntropyLoss (class in mxnet.gluon.loss) SoftmaxOutput() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) softmin() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) softsign() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) solve() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) sometrue() (in module mxnet.ndarray.numpy) (in module mxnet.symbol.numpy) sort() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) space_to_depth() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) spacing() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) SpatialTransformer() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) split() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) split_and_load() (in module mxnet.gluon.utils) split_data() (in module mxnet.gluon.utils) split_v2() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.symbol) (in module mxnet.symbol.symbol) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) sqrt() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) square() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) SquaredHingeLoss (class in mxnet.gluon.loss) squeeze() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) SqueezeNet (class in mxnet.gluon.model_zoo.vision.squeezenet) squeezenet1_0() (in module mxnet.gluon.model_zoo.vision.squeezenet) squeezenet1_1() (in module mxnet.gluon.model_zoo.vision.squeezenet) Stack (class in mxnet.gluon.data.batchify) (class in mxnet.gluon.probability.distributions.constraint) stack() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) start() (mxnet.profiler.Event method) (mxnet.profiler.Frame method) (mxnet.profiler.Task method) state_info() (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) std() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) (mxnet.numpy.multiarray.ndarray method) stddev (mxnet.gluon.probability.distributions.distribution.Distribution property) (mxnet.gluon.probability.distributions.exponential.Exponential property) (mxnet.gluon.probability.distributions.gumbel.Gumbel property) (mxnet.gluon.probability.distributions.laplace.Laplace property) (mxnet.gluon.probability.distributions.normal.Normal property) step() (mxnet.gluon.trainer.Trainer method) (mxnet.optimizer.AdaBelief method) (mxnet.optimizer.adabelief.AdaBelief method) (mxnet.optimizer.AdaDelta method) (mxnet.optimizer.adadelta.AdaDelta method) (mxnet.optimizer.AdaGrad method) (mxnet.optimizer.adagrad.AdaGrad method) (mxnet.optimizer.Adam method) (mxnet.optimizer.adam.Adam method) (mxnet.optimizer.Adamax method) (mxnet.optimizer.adamax.Adamax method) (mxnet.optimizer.adamW.AdamW method) (mxnet.optimizer.contrib.GroupAdaGrad method) (mxnet.optimizer.DCASGD method) (mxnet.optimizer.dcasgd.DCASGD method) (mxnet.optimizer.FTML method) (mxnet.optimizer.ftml.FTML method) (mxnet.optimizer.Ftrl method) (mxnet.optimizer.ftrl.Ftrl method) (mxnet.optimizer.LAMB method) (mxnet.optimizer.lamb.LAMB method) (mxnet.optimizer.LANS method) (mxnet.optimizer.lans.LANS method) (mxnet.optimizer.LARS method) (mxnet.optimizer.lars.LARS method) (mxnet.optimizer.Nadam method) (mxnet.optimizer.nadam.Nadam method) (mxnet.optimizer.NAG method) (mxnet.optimizer.nag.NAG method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Test method) (mxnet.optimizer.RMSProp method) (mxnet.optimizer.rmsprop.RMSProp method) (mxnet.optimizer.SGD method) (mxnet.optimizer.sgd.SGD method) (mxnet.optimizer.SGLD method) (mxnet.optimizer.sgld.SGLD method) (mxnet.optimizer.Signum method) (mxnet.optimizer.signum.Signum method) (mxnet.optimizer.Test method) StochasticBlock (class in mxnet.gluon.probability.block.stochastic_block) StochasticSequential (class in mxnet.gluon.probability.block.stochastic_block) stop() (mxnet.profiler.Event method) (mxnet.profiler.Frame method) (mxnet.profiler.Task method) stop_gradient() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) StoppingHandler (class in mxnet.gluon.contrib.estimator.event_handler) StudentT (class in mxnet.gluon.probability.distributions.studentT) stype (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) subtract() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) sum() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) sum_axis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) sum_metric (mxnet.gluon.metric.PCC property) sumlogdiag() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) summary() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) support (mxnet.gluon.probability.distributions.categorical.Categorical property) (mxnet.gluon.probability.distributions.distribution.Distribution property) (mxnet.gluon.probability.distributions.independent.Independent property) (mxnet.gluon.probability.distributions.multinomial.Multinomial property) (mxnet.gluon.probability.distributions.pareto.Pareto property) (mxnet.gluon.probability.distributions.uniform.Uniform property) svd() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) svdvals() (in module mxnet.numpy.linalg) SVMOutput() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) swapaxes() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) SwapAxis() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op) Swish (class in mxnet.gluon.nn.activations) syevd() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) Symbol (class in mxnet.symbol) (class in mxnet.symbol.symbol) SymbolBlock (class in mxnet.gluon.block) sync_batch_norm() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) sync_label_shape() (mxnet.image.detection.ImageDetIter method) sync_state_context() (mxnet.optimizer.Updater method) (mxnet.optimizer.updater.Updater method) SyncBatchNorm (class in mxnet.gluon.nn.basic_layers) SyncBatchNorm() (in module mxnet.contrib.ndarray) (in module mxnet.contrib.symbol) (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.gen_contrib) (in module mxnet.symbol.contrib) (in module mxnet.symbol.gen_contrib) synsets (mxnet.gluon.data.vision.datasets.ImageFolderDataset attribute) syrk() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg)

T

T (mxnet.ndarray.NDArray property) (mxnet.ndarray.ndarray.NDArray property) (mxnet.numpy.multiarray.ndarray attribute) (mxnet.numpy.multiarray.ndarray property) take() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.gluon.data.dataset.Dataset method) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) take_along_axis() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) tan() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) tanh() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) Task (class in mxnet.profiler) tensor_poisson() (in module mxnet.ndarray.numpy_extension) (in module mxnet.symbol.numpy_extension) tensordot() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.linalg) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) tensorinv() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) tensorsolve() (in module mxnet.ndarray.numpy.linalg) (in module mxnet.numpy.linalg) (in module mxnet.symbol.numpy.linalg) Test (class in mxnet.optimizer) (class in mxnet.optimizer.optimizer) ThreadedDataLoader() (in module mxnet.io.io) tile() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) to_device() (mxnet.numpy.multiarray.ndarray method) to_dlpack_for_read() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.numpy_extension.utils) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) to_dlpack_for_write() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.numpy_extension.utils) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) to_indices() (mxnet.contrib.text.vocab.Vocabulary method) to_tensor() (in module mxnet.ndarray.gen_image) (in module mxnet.ndarray.image) (in module mxnet.ndarray.numpy_extension.image) (in module mxnet.numpy_extension.image) (in module mxnet.symbol.gen_image) (in module mxnet.symbol.image) (in module mxnet.symbol.numpy_extension.image) to_tokens() (mxnet.contrib.text.vocab.Vocabulary method)

tojson() (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) token_to_idx (mxnet.contrib.text.vocab.Vocabulary property) topk() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy_extension) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) TopKAccuracy (class in mxnet.gluon.metric) Torch (class in mxnet.gluon.metric) tostype() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.ndarray.sparse.CSRNDArray method) (mxnet.ndarray.sparse.RowSparseNDArray method) (mxnet.numpy.multiarray.ndarray method) ToTensor (class in mxnet.gluon.data.vision.transforms.image) trace() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.linalg) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) train_mode() (in module mxnet.autograd) Trainer (class in mxnet.gluon.trainer) transform() (mxnet.gluon.data.dataset.Dataset method) transform_first() (mxnet.gluon.data.dataset.Dataset method) TransformedDistribution (class in mxnet.gluon.probability.distributions.transformed_distribution) transpose() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) trapz() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) tri() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) tril() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) tril_indices() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) tril_indices_from() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) trim_zeros() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) TripletLoss (class in mxnet.gluon.loss) triu() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) triu_indices() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) triu_indices_from() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) trmm() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) trsm() (in module mxnet.ndarray.gen_linalg) (in module mxnet.ndarray.linalg) (in module mxnet.symbol.gen_linalg) (in module mxnet.symbol.linalg) true_divide() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) trunc() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) type (mxnet.kvstore.base.KVStoreBase property) (mxnet.kvstore.byteps.BytePS property) (mxnet.kvstore.horovod.Horovod property) (mxnet.kvstore.kvstore.KVStore property)

U

Uniform (class in mxnet.gluon.probability.distributions.uniform) uniform() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.numpy.random) (in module mxnet.ndarray.op) (in module mxnet.ndarray.random) (in module mxnet.numpy.random) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.numpy.random) (in module mxnet.symbol.op) (in module mxnet.symbol.random) uniform_like() (in module mxnet.ndarray.gen_random) (in module mxnet.ndarray.random) (in module mxnet.symbol.gen_random) (in module mxnet.symbol.random) uniform_n() (in module mxnet.ndarray.numpy_extension.random) (in module mxnet.numpy_extension.random) (in module mxnet.symbol.numpy_extension.random) union1d() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) unique() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) unique_all() (in module mxnet.numpy.set_functions) unique_inverse() (in module mxnet.numpy.set_functions) unique_values() (in module mxnet.numpy.set_functions) UnitInterval (class in mxnet.gluon.probability.distributions.constraint) unknown_token (mxnet.contrib.text.vocab.Vocabulary attribute) unpackbits() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) unravel_index() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) unroll() (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method) unwrap() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) update() (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) (mxnet.gluon.trainer.Trainer method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method)

update_dict() (mxnet.gluon.metric.Accuracy method) (mxnet.gluon.metric.BinaryAccuracy method) (mxnet.gluon.metric.CompositeEvalMetric method) (mxnet.gluon.metric.CrossEntropy method) (mxnet.gluon.metric.CustomMetric method) (mxnet.gluon.metric.EvalMetric method) (mxnet.gluon.metric.F1 method) (mxnet.gluon.metric.Fbeta method) (mxnet.gluon.metric.Loss method) (mxnet.gluon.metric.MAE method) (mxnet.gluon.metric.MCC method) (mxnet.gluon.metric.MeanCosineSimilarity method) (mxnet.gluon.metric.MeanPairwiseDistance method) (mxnet.gluon.metric.MSE method) (mxnet.gluon.metric.PCC method) (mxnet.gluon.metric.PearsonCorrelation method) (mxnet.gluon.metric.Perplexity method) (mxnet.gluon.metric.RMSE method) (mxnet.gluon.metric.TopKAccuracy method) update_multi_precision() (mxnet.optimizer.LAMB method) (mxnet.optimizer.lamb.LAMB method) (mxnet.optimizer.LANS method) (mxnet.optimizer.lans.LANS method) (mxnet.optimizer.LARS method) (mxnet.optimizer.lars.LARS method) (mxnet.optimizer.NAG method) (mxnet.optimizer.nag.NAG method) (mxnet.optimizer.Optimizer method) (mxnet.optimizer.optimizer.Optimizer method) (mxnet.optimizer.SGD method) (mxnet.optimizer.sgd.SGD method) Updater (class in mxnet.optimizer) (class in mxnet.optimizer.updater) UpSampling() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.op) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.op)

V

ValidationHandler (class in mxnet.gluon.contrib.estimator.event_handler) vander() (in module mxnet.numpy.fallback) (in module mxnet.numpy.multiarray) var() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) (mxnet.gluon.parameter.Parameter method) (mxnet.numpy.multiarray.ndarray method) Variable() (in module mxnet.symbol) (in module mxnet.symbol.symbol) variance (mxnet.gluon.probability.distributions.bernoulli.Bernoulli property) (mxnet.gluon.probability.distributions.beta.Beta property) (mxnet.gluon.probability.distributions.binomial.Binomial property) (mxnet.gluon.probability.distributions.cauchy.Cauchy property) (mxnet.gluon.probability.distributions.dirichlet.Dirichlet property) (mxnet.gluon.probability.distributions.distribution.Distribution property) (mxnet.gluon.probability.distributions.exponential.Exponential property) (mxnet.gluon.probability.distributions.fishersnedecor.FisherSnedecor property) (mxnet.gluon.probability.distributions.gamma.Gamma property) (mxnet.gluon.probability.distributions.geometric.Geometric property) (mxnet.gluon.probability.distributions.gumbel.Gumbel property) (mxnet.gluon.probability.distributions.half_cauchy.HalfCauchy property) (mxnet.gluon.probability.distributions.half_normal.HalfNormal property) (mxnet.gluon.probability.distributions.independent.Independent property) (mxnet.gluon.probability.distributions.laplace.Laplace property) (mxnet.gluon.probability.distributions.multinomial.Multinomial property) (mxnet.gluon.probability.distributions.multivariate_normal.MultivariateNormal property) (mxnet.gluon.probability.distributions.negative_binomial.NegativeBinomial property) (mxnet.gluon.probability.distributions.normal.Normal property) (mxnet.gluon.probability.distributions.one_hot_categorical.OneHotCategorical property) (mxnet.gluon.probability.distributions.pareto.Pareto property) (mxnet.gluon.probability.distributions.poisson.Poisson property) (mxnet.gluon.probability.distributions.studentT.StudentT property) (mxnet.gluon.probability.distributions.weibull.Weibull property)

VariationalDropoutCell (class in mxnet.gluon.rnn.rnn_cell) vdot() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) vecdot() (in module mxnet.numpy.linalg) vector_norm() (in module mxnet.numpy.linalg) VGG (class in mxnet.gluon.model_zoo.vision.vgg) vgg11() (in module mxnet.gluon.model_zoo.vision.vgg) vgg11_bn() (in module mxnet.gluon.model_zoo.vision.vgg) vgg13() (in module mxnet.gluon.model_zoo.vision.vgg) vgg13_bn() (in module mxnet.gluon.model_zoo.vision.vgg) vgg16() (in module mxnet.gluon.model_zoo.vision.vgg) vgg16_bn() (in module mxnet.gluon.model_zoo.vision.vgg) vgg19() (in module mxnet.gluon.model_zoo.vision.vgg) vgg19_bn() (in module mxnet.gluon.model_zoo.vision.vgg) Vocabulary (class in mxnet.contrib.text.vocab) vsplit() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy) vstack() (in module mxnet.ndarray.numpy) (in module mxnet.numpy.multiarray) (in module mxnet.symbol.numpy)

W

wait_to_read() (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) waitall() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) wd_mult (mxnet.gluon.parameter.Parameter attribute) Weibull (class in mxnet.gluon.probability.distributions.weibull) weibull() (in module mxnet.ndarray.numpy.random) (in module mxnet.numpy.random) (in module mxnet.symbol.numpy.random) where() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse)

while_loop() (in module mxnet.ndarray.contrib) (in module mxnet.ndarray.numpy_extension) (in module mxnet.ndarray.numpy_extension.control_flow) (in module mxnet.numpy_extension.control_flow) (in module mxnet.symbol.contrib) (in module mxnet.symbol.numpy_extension)

Z

zero_grad() (mxnet.gluon.block.Block method) (mxnet.gluon.data.vision.transforms.Cast method) (mxnet.gluon.data.vision.transforms.image.CenterCrop method) (mxnet.gluon.data.vision.transforms.image.CropResize method) (mxnet.gluon.data.vision.transforms.image.Normalize method) (mxnet.gluon.data.vision.transforms.image.RandomBrightness method) (mxnet.gluon.data.vision.transforms.image.RandomColorJitter method) (mxnet.gluon.data.vision.transforms.image.RandomContrast method) (mxnet.gluon.data.vision.transforms.image.RandomCrop method) (mxnet.gluon.data.vision.transforms.image.RandomFlipLeftRight method) (mxnet.gluon.data.vision.transforms.image.RandomFlipTopBottom method) (mxnet.gluon.data.vision.transforms.image.RandomGray method) (mxnet.gluon.data.vision.transforms.image.RandomHue method) (mxnet.gluon.data.vision.transforms.image.RandomLighting method) (mxnet.gluon.data.vision.transforms.image.RandomResizedCrop method) (mxnet.gluon.data.vision.transforms.image.RandomRotation method) (mxnet.gluon.data.vision.transforms.image.RandomSaturation method) (mxnet.gluon.data.vision.transforms.image.Resize method) (mxnet.gluon.data.vision.transforms.image.Rotate method) (mxnet.gluon.data.vision.transforms.image.ToTensor method) (mxnet.gluon.loss.CosineEmbeddingLoss method) (mxnet.gluon.loss.CTCLoss method) (mxnet.gluon.loss.HingeLoss method) (mxnet.gluon.loss.HuberLoss method) (mxnet.gluon.loss.KLDivLoss method) (mxnet.gluon.loss.L1Loss method) (mxnet.gluon.loss.L2Loss method) (mxnet.gluon.loss.LogisticLoss method) (mxnet.gluon.loss.Loss method) (mxnet.gluon.loss.PoissonNLLLoss method) (mxnet.gluon.loss.SDMLLoss method) (mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss method) (mxnet.gluon.loss.SoftmaxCrossEntropyLoss method) (mxnet.gluon.loss.SquaredHingeLoss method) (mxnet.gluon.loss.TripletLoss method) (mxnet.gluon.model_zoo.vision.densenet.DenseNet method) (mxnet.gluon.model_zoo.vision.inception.Inception3 method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNet method) (mxnet.gluon.model_zoo.vision.mobilenet.MobileNetV2 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV1 method) (mxnet.gluon.model_zoo.vision.resnet.BasicBlockV2 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV1 method) (mxnet.gluon.model_zoo.vision.resnet.BottleneckV2 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV1 method) (mxnet.gluon.model_zoo.vision.resnet.ResNetV2 method) (mxnet.gluon.model_zoo.vision.squeezenet.SqueezeNet method) (mxnet.gluon.model_zoo.vision.vgg.VGG method) (mxnet.gluon.nn.activations.Activation method) (mxnet.gluon.nn.activations.ELU method) (mxnet.gluon.nn.activations.GELU method) (mxnet.gluon.nn.activations.LeakyReLU method) (mxnet.gluon.nn.activations.PReLU method) (mxnet.gluon.nn.activations.SELU method) (mxnet.gluon.nn.activations.SiLU method) (mxnet.gluon.nn.activations.Swish method) (mxnet.gluon.nn.basic_layers.Concatenate method) (mxnet.gluon.nn.basic_layers.Dense method) (mxnet.gluon.nn.basic_layers.Dropout method) (mxnet.gluon.nn.basic_layers.Embedding method) (mxnet.gluon.nn.basic_layers.Flatten method) (mxnet.gluon.nn.basic_layers.GroupNorm method) (mxnet.gluon.nn.basic_layers.HybridConcatenate method) (mxnet.gluon.nn.basic_layers.HybridLambda method) (mxnet.gluon.nn.basic_layers.HybridSequential method) (mxnet.gluon.nn.basic_layers.Identity method) (mxnet.gluon.nn.basic_layers.InstanceNorm method) (mxnet.gluon.nn.basic_layers.LayerNorm method) (mxnet.gluon.nn.basic_layers.SyncBatchNorm method) (mxnet.gluon.nn.conv_layers.DeformableConvolution method) (mxnet.gluon.nn.conv_layers.ModulatedDeformableConvolution method) (mxnet.gluon.nn.conv_layers.PixelShuffle1D method) (mxnet.gluon.nn.conv_layers.PixelShuffle2D method) (mxnet.gluon.nn.conv_layers.PixelShuffle3D method) (mxnet.gluon.nn.conv_layers.ReflectionPad2D method) (mxnet.gluon.parameter.Parameter method) (mxnet.gluon.rnn.rnn_cell.BidirectionalCell method) (mxnet.gluon.rnn.rnn_cell.DropoutCell method) (mxnet.gluon.rnn.rnn_cell.GRUCell method) (mxnet.gluon.rnn.rnn_cell.HybridRecurrentCell method) (mxnet.gluon.rnn.rnn_cell.HybridSequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.LSTMCell method) (mxnet.gluon.rnn.rnn_cell.LSTMPCell method) (mxnet.gluon.rnn.rnn_cell.ModifierCell method) (mxnet.gluon.rnn.rnn_cell.RecurrentCell method) (mxnet.gluon.rnn.rnn_cell.ResidualCell method) (mxnet.gluon.rnn.rnn_cell.RNNCell method) (mxnet.gluon.rnn.rnn_cell.SequentialRNNCell method) (mxnet.gluon.rnn.rnn_cell.VariationalDropoutCell method) (mxnet.gluon.rnn.rnn_cell.ZoneoutCell method)

zeros() (in module mxnet.ndarray) (in module mxnet.ndarray.ndarray) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.utils) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.numpy) (in module mxnet.symbol.symbol) zeros_like() (in module mxnet.ndarray) (in module mxnet.ndarray.gen_op) (in module mxnet.ndarray.gen_sparse) (in module mxnet.ndarray.numpy) (in module mxnet.ndarray.op) (in module mxnet.ndarray.sparse) (in module mxnet.numpy.multiarray) (in module mxnet.symbol) (in module mxnet.symbol.gen_op) (in module mxnet.symbol.gen_sparse) (in module mxnet.symbol.numpy) (in module mxnet.symbol.op) (in module mxnet.symbol.sparse) (mxnet.ndarray.NDArray method) (mxnet.ndarray.ndarray.NDArray method) (mxnet.numpy.multiarray.ndarray method) (mxnet.symbol.Symbol method) (mxnet.symbol.symbol.Symbol method) ZoneoutCell (class in mxnet.gluon.rnn.rnn_cell)