mxnet.numpy\_extension ====================== .. automodule:: mxnet.numpy_extension .. rubric:: Functions .. autosummary:: activation add_n arange_like batch_dot batch_flatten batch_norm bipartite_matching box_decode box_encode box_iou box_nms broadcast_greater broadcast_like cast cond constraint_check contrib_calibrate_entropy contrib_quantize contrib_quantize_v2 contrib_quantized_rnn convolution ctc_loss deconvolution deformable_convolution digamma dropout embedding erf erfinv foreach fully_connected gamma gammaln gather_nd group_norm index_add index_update instance_norm interleaved_matmul_encdec_qk interleaved_matmul_encdec_valatt interleaved_matmul_selfatt_qk interleaved_matmul_selfatt_valatt intgemm_fully_connected intgemm_maxabsolute intgemm_prepare_data intgemm_prepare_weight intgemm_take_weight layer_norm leaky_relu log_softmax masked_log_softmax masked_softmax modulated_deformable_convolution multibox_detection multibox_prior multibox_target nonzero norm one_hot pad pick pooling quantized_act quantized_conv quantized_elemwise_add quantized_elemwise_mul quantized_embedding quantized_flatten quantized_fully_connected quantized_npi_add quantized_pooling quantized_reshape quantized_transpose relu requantize reshape reshape_like rnn roi_pooling round_ste scalar_poisson sequence_last sequence_mask sequence_reverse shape_array sigmoid sign_ste sldwin_atten_context sldwin_atten_mask_like sldwin_atten_score slice slice_channel slice_like smooth_l1 softmax softsign stop_gradient sync_batch_norm tensor_poisson topk while_loop .. rubric:: Modules .. autosummary:: :toctree: :recursive: control_flow image random utils