mindspore/config/super_bar_config.json

495 lines
10 KiB
JSON

{
"NodeAttrMap": {
"AvgPool3DD": {
"ksize": "kernel_size",
"pads": "pad_list",
"data_format": "format"
},
"AvgPool3DGradD": {
"orig_input_shape": "origin_input_shape",
"ksize": "kernel_size",
"pads": "pad_list",
"data_format": "format"
},
"AvgPoolGradD": {
"orig_input_shape": "x_origin",
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"AvgPoolGrad": {
"orig_input_shape": "x_origin",
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"AccumulateNV2": {
"N": "n"
},
"AddN": {
"N": "n"
},
"Conv2D": {
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"Dilation2D": {
"strides": "stride"
},
"Conv3DTransposeD": {
"pads": "pad_list",
"data_format": "format"
},
"Conv3D": {
"pads": "pad_list",
"data_format": "format"
},
"Conv3DBackpropInputD": {
"pads": "pad_list",
"data_format": "format"
},
"Conv3DBackpropFilterD": {
"pads": "pad_list",
"data_format": "format"
},
"Conv2DTransposeD": {
"input_size": "input_sizes",
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"MaxPoolWithArgmax": {
"ksize": "kernel_size",
"padding": "pad_mode"
},
"SoftmaxGradExt": {
"axes": "axis",
"keep_dims": "keepdims"
},
"Conv2DBackpropFilterD": {
"filter_size": "filter_sizes",
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"Conv2DBackpropInputD": {
"input_size": "input_sizes",
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"Conv2DBackpropFilter": {
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"Conv2DBackpropInput": {
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"ConcatD": {
"concat_dim": "axis"
},
"DepthwiseConv2D": {
"strides": "stride",
"dilations": "dilation",
"pads": "pad_list",
"data_format": "format",
"offfset_x": "offset_a"
},
"ExtractVolumePatches": {
"ksizes": "kernel_size"
},
"L2Normalize": {
"eps": "epsilon"
},
"L2NormalizeGrad": {
"dim": "axis",
"eps": "epsilon"
},
"MaxPoolGradWithArgmax": {
"ksize": "kernel_size",
"padding": "pad_mode"
},
"BiasAddGrad": {
"data_format": "format"
},
"FusedDbnDw": {
"filter_size": "filter_sizes",
"strides": "stride",
"pads": "pad_list",
"dilations": "dilation",
"data_format": "format"
},
"MaxPool": {
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"ReduceMeanD": {
"axes": "axis"
},
"ReduceSumD": {
"axes": "axis"
},
"ReduceAnyD": {
"axes": "axis"
},
"ReduceMaxD": {
"axes": "axis"
},
"ReduceMinD": {
"axes": "axis"
},
"ReduceAllD": {
"axes": "axis"
},
"ReduceProdD": {
"axes": "axis"
},
"ReduceStd": {
"dim": "axis",
"keepdim": "keep_dims"
},
"SoftmaxV2": {
"axes": "axis"
},
"LogSoftmaxV2": {
"axes": "axis"
},
"ArgMaxD": {
"dimension": "axis"
},
"BatchMatMul": {
"adj_x1": "transpose_x1",
"adj_x2": "transpose_x2"
},
"BatchMatMulV2": {
"adj_x1": "transpose_x1",
"adj_x2": "transpose_x2"
},
"BatchNormal": {
"data_format": "format"
},
"ArgMaxWithValue": {
"dimension": "axis"
},
"SplitD": {
"split_dim": "axis",
"num_split": "output_num"
},
"BiasAdd": {
"data_format": "format"
},
"SliceD": {
"offsets": "begin"
},
"MaxPoolGrad": {
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"MaxPool3D": {
"ksize": "kernel_size",
"padding": "pad_mode",
"pads": "pad_list",
"data_format": "format"
},
"MaxPool3DGrad": {
"ksize": "kernel_size",
"padding": "pad_mode",
"pads": "pad_list",
"data_format": "format"
},
"MaxPoolGradGrad": {
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"AvgPool": {
"ksize": "kernel_size",
"padding": "pad_mode",
"data_format": "format"
},
"BatchNorm": {
"data_format": "format"
},
"BatchNormGrad": {
"data_format": "format"
},
"ArgMin": {
"dimension": "axis"
},
"ArgMinD": {
"dimension": "axis"
},
"LpNorm": {
"axes": "axis",
"keepdim": "keep_dims"
},
"SmoothL1LossV2": {
"sigma": "beta"
},
"Roll": {
"shifts": "shift",
"dims": "axis"
},
"SmoothL1LossGradV2": {
"sigma": "beta"
},
"Centralization": {
"axes": "axis"
},
"MaxPool3DGradGradD": {
"ksize": "kernel_size",
"pads": "pad_list",
"data_format": "format"
}
},
"AttrDefaultValue": {
"Log": {
"base": "-1.0",
"scale": "1.0",
"shift": "0.0"
},
"ScatterNdUpdate": {
"use_locking": "false"
},
"OneHotD": {
"axis": "-1"
},
"Iou": {
"mode": "iou",
"eps": "1.0"
},
"GatherV2D": {
"axis": "-1"
},
"MaxPoolGrad": {
"data_format": "NHWC"
},
"ResizeNearestNeighborV2D": {
"align_corners": "false",
"half_pixel_centers": "false"
},
"ResizeNearestNeighborV2GradD": {
"align_corners": "false",
"half_pixel_centers": "false"
},
"MaxPool3D": {
"pads": "0,0,0",
"dilation": "1,1,1",
"ceil_mode": "0"
},
"BasicLSTMCellCStateGradV2": {
"gate_order": "ijfo"
}
},
"InputOrders": {
"LogSoftmaxGrad": [
1,
0
],
"LayerNormGrad": [
1,
0,
2,
3,
4
],
"LayerNormBetaGammaBackprop": [
1,
0,
2,
3
],
"LayerNormXBackprop": [
1,
0,
2,
3,
4
],
"LayerNormXBackpropV2": [
1,
0,
2,
3,
4
],
"ApplyCenteredRMSPropD": [
0,
1,
2,
3,
5,
6,
7,
8,
4
],
"Conv2DBackpropInputD": [
1,
0
],
"Conv2DBackpropFilterD": [
1,
0
],
"MinimumGrad": [
2,
0,
1
],
"MaximumGrad": [
2,
0,
1
],
"StridedSliceGrad": [
1,
2,
3,
4,
0
],
"Conv2DBackpropInput": [
2,
1,
0
],
"Conv2DBackpropFilter": [
1,
2,
0
],
"FusionOp_Conv2DBackpropInputD_AddN_ReluGradV2": [
1,
0,
2,
3
],
"FusionOp_Conv2DBackpropInputD_Add_ReluGradV2": [
1,
0,
2,
3
],
"FusionOp_Conv2DBackpropInputD_ReluGradV2": [
1,
0,
2
],
"FusionOp_Conv2DBackpropInputD_Relu": [
1,
0,
2
],
"FusionOp_Conv2DBackpropInputD_LeakyRelu": [
1,
0,
2
],
"FusionOp_Conv2DBackpropInputD_PRelu": [
1,
0,
2
],
"FusionOp_Conv2DBackpropInputD_Add": [
1,
0,
2
]
},
"SkipDynamicCompileStatic": [
"SoftmaxV2",
"PRelu",
"Trunc",
"AccumulateNV2",
"SoftmaxCrossEntropyWithLogits",
"ReduceMeanD",
"SquareSumV1",
"SplitVD",
"BiasAddGrad"
],
"SkipNodesComments": {
"Im2col": "not support int8, uint8, float16 in op json, need add pass",
"BroadcastTo": "The name is occupied",
"DynamicBroadcastTo ": "The name is occupied",
"BatchToSpaceD ": "attr type is listInt, not listListInt",
"BatchToSpaceNDD ": "attr type is listInt, not listListInt",
"SpaceToBatchD ": "attr type is listInt, not listListInt",
"SpaceToBatchNDD ": "attr type is listInt, not listListInt",
"DynamicGRUV2": "input4 is None, GE will change to hidden op by pass",
"DynamicRNN ": "input4 is None, GE will change to hidden op by pass",
"KLDivLossGrad": " Accuracy issues",
"ScatterNdUpdate": " not support int8 in op json",
"ScatterNdAdd": "not support int8 in op json",
"UnsortedSegmentSum ": " check support failed when shape is -2",
"ConcatOffset": "Hadn't adapted tbe implementation",
"MirrorPad ": "Hadn't adapted tbe implementation",
"InplaceIndexAdd": "check support failed if var has only one dimension",
"Expand": "Hadn't adapted tbe implementation",
"ExpandD": "Hadn't adapted tbe implementation",
"Cross ": "Hadn't adapted tbe implementation",
"LinSpaceD": "Hadn't adapted tbe implementation",
"Cast ": "Accuracy issues",
"AvgPool3DGradD": "second device format is facz_3d, but in json, the key is ndhwc",
"DataFormatDimMap ": "attr order swap",
"DepthwiseConv2D": "Accuracy issues(second format is error in python)",
"ACos": "dynamic impl error",
"TransData ": "support boll",
"ScatterNdD ": "Accuracy issues",
"Trace": "Hadn't adapted tbe implementation",
"AssignAdd": "Frac_nz in pangu not support",
"Range": "not support dynamic shape with tiling failed",
"AtomicAddrClean": "need to clean addr larger than 2G, int32 is not enough"
},
"SkipNodes": [
"Im2col",
"BroadcastTo",
"DynamicBroadcastTo",
"BatchToSpaceD",
"BatchToSpaceNDD",
"SpaceToBatchD",
"SpaceToBatchNDD",
"DynamicGRUV2",
"DynamicRNN",
"KLDivLossGrad",
"ScatterNdUpdate",
"ScatterNdAdd",
"ConcatOffset",
"MirrorPad",
"InplaceIndexAdd",
"Expand",
"ExpandD",
"Cross",
"LinSpaceD",
"Cast",
"AvgPool3DGradD",
"DataFormatDimMap",
"DepthwiseConv2D",
"Trace",
"ACos",
"TransData",
"ScatterNdD",
"AssignAdd",
"Range",
"AtomicAddrClean",
"Assign"
],
"FallbackOps": {
"DeformableOffsets": [
1,
2
]
}
}