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"Roll": {
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},
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"LayerNormGrad": [
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2,
3,
4
],
"LayerNormBetaGammaBackprop": [
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0,
2,
3
],
"LayerNormXBackprop": [
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0,
2,
3,
4
],
"LayerNormXBackpropV2": [
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"ApplyCenteredRMSPropD": [
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2,
3,
5,
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"Conv2DBackpropInputD": [
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"Conv2DBackpropFilterD": [
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"MinimumGrad": [
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"MaximumGrad": [
2,
0,
1
],
"StridedSliceGrad": [
1,
2,
3,
4,
0
],
"Conv2DBackpropInput": [
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1,
0
],
"Conv2DBackpropFilter": [
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2,
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],
"FusionOp_Conv2DBackpropInputD_AddN_ReluGradV2": [
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0,
2,
3
],
"FusionOp_Conv2DBackpropInputD_Add_ReluGradV2": [
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0,
2,
3
],
"FusionOp_Conv2DBackpropInputD_ReluGradV2": [
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],
"FusionOp_Conv2DBackpropInputD_Relu": [
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],
"FusionOp_Conv2DBackpropInputD_LeakyRelu": [
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],
"FusionOp_Conv2DBackpropInputD_PRelu": [
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],
"FusionOp_Conv2DBackpropInputD_Add": [
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},
"SkipDynamicCompileStatic": [
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"SoftmaxV2",
"PRelu",
"Trunc",
"AccumulateNV2",
"ReduceMeanD",
"SquareSumV1",
"SplitVD",
"BiasAddGrad",
"SoftmaxCrossEntropyWithLogits",
"BNTrainingReduceGrad",
"BNTrainingReduce",
"BNTrainingUpdateGrad",
"BNTrainingUpdate"
],
"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 ": "performance and accuracy",
"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",
"MemSet": "need to clean addr larger than 2G, int32 is not enough",
"TensorMove": "not support uint32 in op json",
"SparseReshape": "not support tbe, loss transpose and input is not const, use AI CPU instead",
"PadV3": "Accuracy issues in AiCore, use AiCPU instead",
"PadV3Grad": "not support float in AiCore",
"BNInferGrad": "Currently, the input whose format is NCH is not supported in AiCore.",
"AvgPool": "not support strides > 63.",
"GatherNd": "Can't call check_supported function.",
"Eye": "Failed to access aicore's Eye. The attr `dtype` require special treatment like Cast, and the default value of the attr `batch_shape` can't be processed appropriately.",
"BNInfer" : "unknownshape_format increase new format 'NCHW', will affect kernel select",
"BNTrainingReduceGrad": "dynamic impl failed",
"BNTrainingReduce": "dynamic impl failed",
"BNTrainingUpdateGrad": "dynamic impl failed",
"BNTrainingUpdate": "dynamic impl failed",
"NonZero": "Implementation errors with float and bool types in AiCore, use AiCPU instead."
},
"SkipNodes": [
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"BatchToSpaceD",
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],
"FallbackOps": {
"DeformableOffsets": [
1,
2
]
}
}
