forked from mindspore-Ecosystem/mindspore
490 lines
10 KiB
JSON
490 lines
10 KiB
JSON
{
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"NodeAttrMap": {
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"AvgPool3DD": {
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"ksize": "kernel_size",
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"pads": "pad_list",
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"data_format": "format"
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},
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"AvgPool3DGradD": {
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"orig_input_shape": "origin_input_shape",
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"ksize": "kernel_size",
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"pads": "pad_list",
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"data_format": "format"
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},
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"AvgPoolGradD": {
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"orig_input_shape": "x_origin",
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"AvgPoolGrad": {
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"orig_input_shape": "x_origin",
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"AccumulateNV2": {
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"N": "n"
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},
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"AddN": {
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"N": "n"
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},
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"Conv2D": {
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"Dilation2D": {
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"strides": "stride"
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},
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"Conv3DTransposeD": {
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"pads": "pad_list",
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"data_format": "format"
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},
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"Conv3D": {
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"pads": "pad_list",
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"data_format": "format"
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},
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"Conv3DBackpropInputD": {
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"pads": "pad_list",
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"data_format": "format"
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},
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"Conv3DBackpropFilterD": {
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"pads": "pad_list",
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"data_format": "format"
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},
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"Conv2DTransposeD": {
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"input_size": "input_sizes",
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"MaxPoolWithArgmax": {
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"ksize": "kernel_size",
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"padding": "pad_mode"
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},
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"SoftmaxGradExt": {
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"axes": "axis",
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"keep_dims": "keepdims"
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},
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"Conv2DBackpropFilterD": {
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"filter_size": "filter_sizes",
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"Conv2DBackpropInputD": {
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"input_size": "input_sizes",
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"Conv2DBackpropFilter": {
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"Conv2DBackpropInput": {
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"ConcatD": {
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"concat_dim": "axis"
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},
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"DepthwiseConv2D": {
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"strides": "stride",
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"dilations": "dilation",
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"pads": "pad_list",
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"data_format": "format",
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"offfset_x": "offset_a"
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},
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"ExtractVolumePatches": {
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"ksizes": "kernel_size"
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},
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"L2Normalize": {
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"eps": "epsilon"
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},
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"L2NormalizeGrad": {
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"dim": "axis",
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"eps": "epsilon"
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},
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"MaxPoolGradWithArgmax": {
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"ksize": "kernel_size",
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"padding": "pad_mode"
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},
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"BiasAddGrad": {
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"data_format": "format"
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},
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"FusedDbnDw": {
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"filter_size": "filter_sizes",
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"strides": "stride",
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"pads": "pad_list",
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"dilations": "dilation",
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"data_format": "format"
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},
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"MaxPool": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"ReduceMeanD": {
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"axes": "axis"
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},
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"ReduceSumD": {
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"axes": "axis"
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},
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"ReduceAnyD": {
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"axes": "axis"
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},
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"ReduceMaxD": {
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"axes": "axis"
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},
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"ReduceMinD": {
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"axes": "axis"
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},
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"ReduceAllD": {
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"axes": "axis"
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},
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"ReduceProdD": {
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"axes": "axis"
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},
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"ReduceStd": {
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"dim": "axis",
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"keepdim": "keep_dims"
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},
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"SoftmaxV2": {
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"axes": "axis"
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},
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"LogSoftmaxV2": {
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"axes": "axis"
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},
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"ArgMaxD": {
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"dimension": "axis"
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},
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"BatchMatMul": {
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"adj_x1": "transpose_x1",
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"adj_x2": "transpose_x2"
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},
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"BatchMatMulV2": {
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"adj_x1": "transpose_x1",
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"adj_x2": "transpose_x2"
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},
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"BatchNormal": {
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"data_format": "format"
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},
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"ArgMaxWithValue": {
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"dimension": "axis"
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},
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"SplitD": {
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"split_dim": "axis",
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"num_split": "output_num"
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},
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"BiasAdd": {
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"data_format": "format"
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},
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"SliceD": {
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"offsets": "begin"
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},
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"MaxPoolGrad": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"MaxPool3D": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"pads": "pad_list",
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"data_format": "format"
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},
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"MaxPool3DGrad": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"pads": "pad_list",
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"data_format": "format"
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},
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"MaxPoolGradGrad": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"AvgPool": {
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"ksize": "kernel_size",
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"padding": "pad_mode",
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"data_format": "format"
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},
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"BatchNorm": {
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"data_format": "format"
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},
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"BatchNormGrad": {
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"data_format": "format"
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},
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"ArgMin": {
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"dimension": "axis"
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},
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"ArgMinD": {
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"dimension": "axis"
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},
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"LpNorm": {
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"axes": "axis",
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"keepdim": "keep_dims"
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},
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"SmoothL1LossV2": {
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"sigma": "beta"
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},
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"Roll": {
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"shifts": "shift",
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"dims": "axis"
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},
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"SmoothL1LossGradV2": {
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"sigma": "beta"
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},
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"Centralization": {
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"axes": "axis"
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},
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"MaxPool3DGradGradD": {
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"ksize": "kernel_size",
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"pads": "pad_list",
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"data_format": "format"
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}
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},
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"AttrDefaultValue": {
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"Log": {
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"base": "-1.0",
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"scale": "1.0",
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"shift": "0.0"
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},
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"ScatterNdUpdate": {
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"use_locking": "false"
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},
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"OneHotD": {
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"axis": "-1"
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},
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"Iou": {
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"mode": "iou",
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"eps": "1.0"
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},
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"GatherV2D": {
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"axis": "-1"
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},
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"MaxPoolGrad": {
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"data_format": "NHWC"
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},
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"ResizeNearestNeighborV2D": {
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"align_corners": "false",
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"half_pixel_centers": "false"
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},
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"ResizeNearestNeighborV2GradD": {
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"align_corners": "false",
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"half_pixel_centers": "false"
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},
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"MaxPool3D": {
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"pads": "0,0,0",
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"dilation": "1,1,1",
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"ceil_mode": "0"
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},
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"BasicLSTMCellCStateGradV2": {
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"gate_order": "ijfo"
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}
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},
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"InputOrders": {
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"LogSoftmaxGrad": [
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1,
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0
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],
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"LayerNormGrad": [
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1,
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0,
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2,
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3,
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4
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],
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"LayerNormBetaGammaBackprop": [
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1,
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0,
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2,
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3
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],
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"LayerNormXBackprop": [
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1,
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0,
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2,
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3,
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4
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],
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"LayerNormXBackpropV2": [
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1,
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0,
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2,
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3,
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4
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],
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"ApplyCenteredRMSPropD": [
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0,
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1,
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2,
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3,
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5,
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6,
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7,
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8,
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4
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],
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"Conv2DBackpropInputD": [
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1,
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0
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],
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"Conv2DBackpropFilterD": [
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1,
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0
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],
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"MinimumGrad": [
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2,
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0,
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1
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],
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"MaximumGrad": [
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2,
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0,
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1
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],
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"StridedSliceGrad": [
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1,
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2,
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3,
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4,
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0
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],
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"Conv2DBackpropInput": [
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2,
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1,
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0
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],
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"Conv2DBackpropFilter": [
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1,
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2,
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0
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],
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"FusionOp_Conv2DBackpropInputD_AddN_ReluGradV2": [
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1,
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0,
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2,
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3
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],
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"FusionOp_Conv2DBackpropInputD_Add_ReluGradV2": [
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1,
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0,
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2,
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3
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],
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"FusionOp_Conv2DBackpropInputD_ReluGradV2": [
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1,
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0,
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2
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],
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"FusionOp_Conv2DBackpropInputD_Relu": [
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1,
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0,
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2
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],
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"FusionOp_Conv2DBackpropInputD_LeakyRelu": [
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1,
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0,
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2
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],
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"FusionOp_Conv2DBackpropInputD_PRelu": [
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1,
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0,
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2
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],
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"FusionOp_Conv2DBackpropInputD_Add": [
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1,
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0,
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2
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]
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},
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"SkipDynamicCompileStatic": [
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"SoftmaxV2",
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"PRelu",
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"Trunc",
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"AccumulateNV2",
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"SoftmaxCrossEntropyWithLogits",
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"ReduceMeanD",
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"SquareSumV1",
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"SplitVD",
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"BiasAddGrad"
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],
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"SkipNodesComments": {
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"BroadcastTo": "The name is occupied",
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"DynamicBroadcastTo ": "The name is occupied",
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"BatchToSpaceD ": "attr type is listInt, not listListInt",
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"BatchToSpaceNDD ": "attr type is listInt, not listListInt",
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"SpaceToBatchD ": "attr type is listInt, not listListInt",
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"SpaceToBatchNDD ": "attr type is listInt, not listListInt",
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"DynamicGRUV2": "input4 is None, GE will change to hidden op by pass",
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"DynamicRNN ": "input4 is None, GE will change to hidden op by pass",
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"KLDivLossGrad": " Accuracy issues",
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"ScatterNdUpdate": " not support int8 in op json",
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"ScatterNdAdd": "not support int8 in op json",
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"UnsortedSegmentSum ": " check support failed when shape is -2",
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"ConcatOffset": "Hadn't adapted tbe implementation",
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"MirrorPad ": "Hadn't adapted tbe implementation",
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"InplaceIndexAdd": "check support failed if var has only one dimension",
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"Expand": "Hadn't adapted tbe implementation",
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"ExpandD": "Hadn't adapted tbe implementation",
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"Cross ": "Hadn't adapted tbe implementation",
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"LinSpaceD": "Hadn't adapted tbe implementation",
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"Cast ": "Accuracy issues",
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"AvgPool3DGradD": "second device format is facz_3d, but in json, the key is ndhwc",
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"DataFormatDimMap ": "attr order swap",
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"DepthwiseConv2D": "Accuracy issues(second format is error in python)",
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"ACos": "dynamic impl error",
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"TransData ": "support boll",
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"ScatterNdD ": "Accuracy issues",
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"Trace": "Hadn't adapted tbe implementation",
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"AssignAdd": "Frac_nz in pangu not support",
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"Range": "not support dynamic shape with tiling failed"
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},
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"SkipNodes": [
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"BroadcastTo",
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"DynamicBroadcastTo",
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"BatchToSpaceD",
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"BatchToSpaceNDD",
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"SpaceToBatchD",
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"SpaceToBatchNDD",
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"DynamicGRUV2",
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"DynamicRNN",
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"KLDivLossGrad",
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"ScatterNdUpdate",
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"ScatterNdAdd",
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"ConcatOffset",
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"MirrorPad",
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"InplaceIndexAdd",
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"Expand",
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"ExpandD",
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"Cross",
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"LinSpaceD",
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"Cast",
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"AvgPool3DGradD",
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"DataFormatDimMap",
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"DepthwiseConv2D",
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"Trace",
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"ACos",
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"TransData",
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"ScatterNdD",
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"AssignAdd",
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"Range"
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],
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"FallbackOps": {
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"DeformableOffsets": [
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1,
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2
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]
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}
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} |