source/config/super_bar_config.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"
    },
    "MaxPoolWithArgmaxV2": {
      "ksize": "kernel_size",
      "dtype": "argmax_type"
    },
    "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"
    },
    "Eye": {
      "num_rows": "n",
      "num_columns": "m",
      "dtype": "t"
    },
    "L2Normalize": {
      "eps": "epsilon"
    },
    "L2NormalizeGrad": {
      "dim": "axis",
      "eps": "epsilon"
    },
    "MaxPoolGradWithArgmax": {
      "ksize": "kernel_size",
      "padding": "pad_mode"
    },
    "MaxPoolWithArgmaxV2": {
      "ksize": "kernel_size"
    },
    "MaxPoolGradWithArgmaxV2": {
      "ksize": "kernel_size"
    },
    "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"
    },
    "DepthToSpace": {
      "data_format": "format"
    }
  },
  "AttrDefaultValue": {
    "Eye": {
      "batch_shape": "[]"
    },
    "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": [
    "LayerNorm",
    "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": [
    "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",
    "MemSet",
    "Assign",
    "TensorMove",
    "SparseReshape",
    "PadV3",
    "PadV3Grad",
    "BNInferGrad",
    "AvgPool",
    "GatherNd",
    "Eye",
    "BNInfer",
    "NonZero"
  ],
  "FallbackOps": {
    "DeformableOffsets": [
      1,
      2
    ]
  }
}