mxnet.ndarray.numpy =================== .. automodule:: mxnet.ndarray.numpy .. rubric:: Functions .. autosummary:: abs absolute add all amax amin any append arange arccos arccosh arcsin arcsinh arctan arctan2 arctanh argmax argmin argsort around array_split atleast_1d atleast_2d atleast_3d average bincount bitwise_and bitwise_left_shift bitwise_not bitwise_or bitwise_right_shift bitwise_xor blackman broadcast_to cbrt ceil clip column_stack concatenate copy copysign cos cosh cross cumsum deg2rad degrees delete diag diag_indices_from diagflat diagonal diff divide dot dsplit dstack ediff1d einsum empty_like equal exp expand_dims expm1 eye fabs fill_diagonal fix flip fliplr flipud floor floor_divide fmax fmin fmod full full_like gcd greater greater_equal hamming hanning histogram hsplit hstack hypot identity indices inner insert interp invert isfinite isinf isnan isneginf kron lcm ldexp less less_equal linspace log log10 log1p log2 logaddexp logical_not logical_or logical_xor logspace matmul max maximum may_share_memory mean median min minimum mod moveaxis multiply nan_to_num negative nonzero not_equal ones ones_like outer pad percentile polyval positive power prod product quantile rad2deg radians ravel reciprocal remainder repeat reshape resize rint roll rollaxis rot90 round round_ row_stack shape shares_memory sign sin sinh sometrue sort split sqrt square squeeze stack std subtract sum swapaxes take tan tanh tensordot tile trace transpose tri tril tril_indices triu triu_indices triu_indices_from true_divide trunc unique unravel_index var vdot vsplit vstack where zeros zeros_like .. rubric:: Modules .. autosummary:: :toctree: :recursive: linalg random