MXNet operators

mxnet-operators.txt

'Activation'
'BatchNorm'
'BilinearSampler'
'BlockGrad'
'Cast'
'Concat'
'Convolution'
'Correlation'
'Crop'
'Custom'
'Deconvolution'
'Dropout'
'ElementWiseSum'
'Embedding'
'Flatten'
'FullyConnected'
'GridGenerator'
'IdentityAttachKLSparseReg'
'InstanceNorm'
'L2Normalization'
'LRN'
'LeakyReLU'
'LinearRegressionOutput'
'LogisticRegressionOutput'
'MAERegressionOutput'
'MakeLoss'
'Pad'
'Pooling'
'RNN'
'ROIPooling'
'Reshape'
'SVMOutput'
'SequenceLast'
'SequenceMask'
'SequenceReverse'
'SliceChannel'
'Softmax'
'SoftmaxActivation'
'SoftmaxOutput'
'SpatialTransformer'
'SwapAxis'
'UpSampling'
'_CrossDeviceCopy'
'_Div'
'_DivScalar'
'_Equal'
'_EqualScalar'
'_Greater'
'_GreaterEqualScalar'
'_GreaterScalar'
'_Greater_Equal'
'_Hypot'
'_HypotScalar'
'_Lesser'
'_LesserEqualScalar'
'_LesserScalar'
'_Lesser_Equal'
'_Maximum'
'_MaximumScalar'
'_Minimum'
'_MinimumScalar'
'_Minus'
'_MinusScalar'
'_Mul'
'_MulScalar'
'_NDArray'
'_Native'
'_NoGradient'
'_NotEqualScalar'
'_Not_Equal'
'_Plus'
'_PlusScalar'
'_Power'
'_PowerScalar'
'_RDivScalar'
'_RMinusScalar'
'_RPowerScalar'
'_add'
'_arange'
'_backward_Activation'
'_backward_BatchNorm'
'_backward_BilinearSampler'
'_backward_Concat'
'_backward_Convolution'
'_backward_Correlation'
'_backward_Crop'
'_backward_Custom'
'_backward_Deconvolution'
'_backward_Dropout'
'_backward_Embedding'
'_backward_FullyConnected'
'_backward_GridGenerator'
'_backward_IdentityAttachKLSparseReg'
'_backward_InstanceNorm'
'_backward_L2Normalization'
'_backward_LRN'
'_backward_LeakyReLU'
'_backward_LinearRegressionOutput'
'_backward_LogisticRegressionOutput'
'_backward_MAERegressionOutput'
'_backward_MakeLoss'
'_backward_Pad'
'_backward_Pooling'
'_backward_RNN'
'_backward_ROIPooling'
'_backward_SVMOutput'
'_backward_SequenceLast'
'_backward_SequenceMask'
'_backward_SequenceReverse'
'_backward_SliceChannel'
'_backward_Softmax'
'_backward_SoftmaxActivation'
'_backward_SoftmaxOutput'
'_backward_SpatialTransformer'
'_backward_SwapAxis'
'_backward_UpSampling'
'_backward__CrossDeviceCopy'
'_backward__NDArray'
'_backward__Native'
'_backward_abs'
'_backward_add'
'_backward_arccos'
'_backward_arccosh'
'_backward_arcsin'
'_backward_arcsinh'
'_backward_arctan'
'_backward_arctanh'
'_backward_batch_dot'
'_backward_broadcast_add'
'_backward_broadcast_div'
'_backward_broadcast_hypot'
'_backward_broadcast_maximum'
'_backward_broadcast_minimum'
'_backward_broadcast_mul'
'_backward_broadcast_power'
'_backward_broadcast_sub'
'_backward_cast'
'_backward_clip'
'_backward_copy'
'_backward_cos'
'_backward_cosh'
'_backward_degrees'
'_backward_div'
'_backward_dot'
'_backward_expm1'
'_backward_gamma'
'_backward_gammaln'
'_backward_hypot'
'_backward_hypot_scalar'
'_backward_log'
'_backward_log1p'
'_backward_max'
'_backward_maximum'
'_backward_maximum_scalar'
'_backward_mean'
'_backward_min'
'_backward_minimum'
'_backward_minimum_scalar'
'_backward_mul'
'_backward_nanprod'
'_backward_nansum'
'_backward_power'
'_backward_power_scalar'
'_backward_prod'
'_backward_radians'
'_backward_rdiv_scalar'
'_backward_repeat'
'_backward_rpower_scalar'
'_backward_rsqrt'
'_backward_sign'
'_backward_sin'
'_backward_sinh'
'_backward_slice'
'_backward_slice_axis'
'_backward_smooth_l1'
'_backward_softmax_cross_entropy'
'_backward_sqrt'
'_backward_square'
'_backward_sub'
'_backward_sum'
'_backward_take'
'_backward_tan'
'_backward_tanh'
'_backward_tile'
'_backward_topk'
'_backward_where'
'_broadcast'
'_broadcast_backward'
'_copy'
'_copyto'
'_crop_assign'
'_crop_assign_scalar'
'_cvcopyMakeBorder'
'_cvimdecode'
'_cvimresize'
'_div'
'_div_scalar'
'_equal'
'_equal_scalar'
'_grad_add'
'_greater'
'_greater_equal'
'_greater_equal_scalar'
'_greater_scalar'
'_hypot'
'_hypot_scalar'
'_identity_with_attr_like_rhs'
'_imdecode'
'_lesser'
'_lesser_equal'
'_lesser_equal_scalar'
'_lesser_scalar'
'_maximum'
'_maximum_scalar'
'_minimum'
'_minimum_scalar'
'_minus'
'_minus_scalar'
'_mul'
'_mul_scalar'
'_not_equal'
'_not_equal_scalar'
'_onehot_encode'
'_ones'
'_plus'
'_plus_scalar'
'_power'
'_power_scalar'
'_rdiv_scalar'
'_rminus_scalar'
'_rpower_scalar'
'_sample_normal'
'_sample_uniform'
'_set_value'
'_slice_assign'
'_sub'
'_zeros'
'abs'
'adam_update'
'arccos'
'arccosh'
'arcsin'
'arcsinh'
'arctan'
'arctanh'
'argmax'
'argmax_channel'
'argmin'
'argsort'
'batch_dot'
'batch_take'
'broadcast_add'
'broadcast_axis'
'broadcast_div'
'broadcast_equal'
'broadcast_greater'
'broadcast_greater_equal'
'broadcast_hypot'
'broadcast_lesser'
'broadcast_lesser_equal'
'broadcast_maximum'
'broadcast_minimum'
'broadcast_minus'
'broadcast_mul'
'broadcast_not_equal'
'broadcast_plus'
'broadcast_power'
'broadcast_sub'
'broadcast_to'
'cast'
'ceil'
'choose_element_0index'
'clip'
'cos'
'cosh'
'crop'
'degrees'
'dot'
'elemwise_add'
'exp'
'expand_dims'
'expm1'
'fill_element_0index'
'fix'
'flip'
'floor'
'gamma'
'gammaln'
'identity'
'log'
'log10'
'log1p'
'log2'
'max'
'max_axis'
'mean'
'min'
'min_axis'
'nanprod'
'nansum'
'negative'
'norm'
'normal'
'one_hot'
'prod'
'radians'
'repeat'
'rint'
'rmsprop_update'
'round'
'rsqrt'
'sgd_mom_update'
'sgd_update'
'sign'
'sin'
'sinh'
'slice'
'slice_axis'
'smooth_l1'
'softmax_cross_entropy'
'sort'
'sqrt'
'square'
'sum'
'sum_axis'
'take'
'tan'
'tanh'
'tile'
'topk'
'transpose'
'uniform'
'where'

python ./showNetInfo.py
--Return--

/v/space/bullfinch/epiyusi/svn/test/mxnet/python/mxnet/_ctypes/ndarray.py(177)_init_ndarray_module()->None
-> pdb.set_trace()
(Pdb) l
172 setattr(module_internal, function.name, function)
173 else:
174 setattr(module_obj, function.name, function)
175
176 import pdb as pdb
177 -> pdb.set_trace()

p op_names