mirror of https://github.com/llvm/torch-mlir
[FxImporter] Fix fx importer test config and clean xfail set (#3176)
penguin_wwy
GitHub
parent
398aeeec87
commit
e4b11a0ab4
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@ -387,320 +387,148 @@ TORCHDYNAMO_CRASHING_SET = {
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}
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}
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FX_IMPORT_XFAIL_SET = {
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FX_IMPORT_XFAIL_SET = {
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"AddIntModule_basic",
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'AddIntModule_basic',
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"AllBoolFalseModule_basic",
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'AllBoolFalseModule_basic',
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"AllBoolTrueModule_basic",
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'AllBoolTrueModule_basic',
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"AnyBoolFalseModule_basic",
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'AnyBoolFalseModule_basic',
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"AnyBoolTrueModule_basic",
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'AnyBoolTrueModule_basic',
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"ArangeStartOutViewModule_basic",
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'ArangeStartOutViewModule_basic',
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"AtenEmbeddingBagStaticModule_basic",
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'AtenEmbeddingBagStaticModule_basic',
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"AtenEmbeddingBagSumExample_basic",
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'AtenEmbeddingBagSumExample_basic',
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"AtenFloatScalarModule_basic",
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'AtenFloatScalarModule_basic',
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"AtenIntBoolOpConstFalseModule_basic",
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'AtenIntBoolOpConstFalseModule_basic',
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"AtenIntBoolOpConstTrueModule_basic",
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'AtenIntBoolOpConstTrueModule_basic',
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"AtenIntBoolOpModule_basic",
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'AtenIntBoolOpModule_basic',
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"AtenIntTensorByteDtypeModule_basic",
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'AtenIntTensorByteDtypeModule_basic',
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"AtenIntTensorCharDtypeModule_basic",
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'AtenIntTensorCharDtypeModule_basic',
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"AtenItemFpOpModule_basic",
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'AtenItemFpOpModule_basic',
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"AtenItemIntOpModule_basic",
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'AtenItemIntOpModule_basic',
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"AtenMmQint8_basic",
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'AtenMatmulQMixedSigni8Transpose_basic',
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"AtenMatmulQint8_basic",
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'AtenMatmulQMixedSigni8_basic',
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"AtenMatmulQint8MV_basic",
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'AtenMatmulQint8MV_basic',
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"AtenMmQMixedSigni8_basic",
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'AtenMatmulQint8_basic',
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"AtenMatmulQMixedSigni8_basic",
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'AtenMatmulQint8VM_basic',
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"AtenMatmulQMixedSigni8Transpose_basic",
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'AtenMatmulQint8VV_basic',
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"AtenMmQuint8_basic",
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'AtenMmQMixedSigni8_basic',
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"AtenSubFloatModule_basic",
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'AtenMmQint8_basic',
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"BincountMinlengthModule_basic",
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'AtenMmQuint8_basic',
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"BincountModule_basic",
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'AtenSubFloatModule_basic',
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"BincountStaticSizeModule_basic",
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'BincountMinlengthModule_basic',
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"BoolFloatConstantModule_basic",
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'BincountModule_basic',
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"BoolFloatFalseModule_basic",
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'BincountStaticSizeModule_basic',
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"BoolFloatTrueModule_basic",
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'BoolFloatConstantModule_basic',
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"BoolIntConstantModule_basic",
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'BoolFloatFalseModule_basic',
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"BoolIntFalseModule_basic",
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'BoolFloatTrueModule_basic',
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"BoolIntTrueModule_basic",
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'BoolIntConstantModule_basic',
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"BroadcastDynamicDimModule_basic",
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'BoolIntFalseModule_basic',
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"CeilFloatModule_basic",
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'BoolIntTrueModule_basic',
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"ConstantBoolParameterModule_basic",
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'BroadcastDynamicDimModule_basic',
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"ContainsIntList_False",
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'CeilFloatModule_basic',
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"ContainsIntList_True",
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'ConstantBoolParameterModule_basic',
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"Conv2dQInt8Module_basic",
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'ContainsIntList_False',
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"Conv2dWithPaddingDilationStrideStaticModule_depthwise_multiplier",
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'ContainsIntList_True',
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"ConvTbcModule_basic",
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'Conv2dQInt8Module_basic',
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"ConvolutionBackwardModule2DPadded_basic",
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'Conv2dWithPaddingDilationStrideStaticModule_depthwise_multiplier',
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"ConvolutionBackwardModule2DStrided_basic",
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'ConvTbcModule_basic',
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"ConvolutionBackwardModule2D_basic",
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'ConvolutionBackwardModule2DPadded_basic',
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"DivFloatModule_basic",
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'ConvolutionBackwardModule2DStrided_basic',
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"DivIntModule_basic",
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'ConvolutionBackwardModule2D_basic',
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"ElementwiseAddScalar_NumToTensorFloat_Module_basic",
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'CumsumModule_basic',
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"ElementwiseDequantizePerChannelModule_basic",
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'DivFloatModule_basic',
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"ElementwiseDequantizePerTensorModule_basic",
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'DivIntModule_basic',
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"ElementwiseQuantizePerTensorModule_basic",
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'ElementwiseAddScalar_NumToTensorFloat_Module_basic',
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"ElementwiseQuantizePerTensorUIntModule_basic",
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'ElementwiseDequantizePerChannelModule_basic',
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"ElementwiseToDtypeI64ToUI8Module_basic",
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'ElementwiseDequantizePerTensorModule_basic',
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"EqIntModule_basic",
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'ElementwiseQuantizePerTensorModule_basic',
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"FakeQuantizePerTensorAffineDynamicShapeModule_basic",
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'ElementwiseQuantizePerTensorUIntModule_basic',
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"FakeQuantizePerTensorAffineModule_basic",
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'ElementwiseToDtypeI64ToUI8Module_basic',
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"FakeQuantizePerTensorAffineRoundToEvenModule_basic",
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'EqIntModule_basic',
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"FloatImplicitModule_basic",
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'FakeQuantizePerTensorAffineDynamicShapeModule_basic',
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"GeFloatIntModule_basic",
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'FakeQuantizePerTensorAffineModule_basic',
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"GeFloatModule_basic",
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'FakeQuantizePerTensorAffineRoundToEvenModule_basic',
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"GeIntModule_basic",
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'FloatImplicitModule_basic',
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"GtFloatIntModule_basic",
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'GeFloatIntModule_basic',
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"GtIntModule_basic",
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'GeFloatModule_basic',
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"IntFloatModule_basic",
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'GeIntModule_basic',
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"IntImplicitModule_basic",
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'GtFloatIntModule_basic',
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"IsFloatingPointFloat_True",
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'GtIntModule_basic',
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"IsFloatingPointInt_False",
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'IntFloatModule_basic',
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"LenStrModule_basic",
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'IntImplicitModule_basic',
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"MulFloatModule_basic",
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'IsFloatingPointFloat_True',
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"MulIntModule_basic",
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'IsFloatingPointInt_False',
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"NeFloatIntModule_basic",
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'LenStrModule_basic',
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"NeIntModule_basic",
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'MaxPool3dCeilModeTrueModule_basic',
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"NllLossModuleBackward1DMeanWeight_basic",
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'MaxPool3dEmptyStrideStaticModule_basic',
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"NllLossModuleBackward1DMean_basic",
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'MaxPool3dLargeDatadModule_basic',
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"NllLossModuleBackward1DSumWeight_basic",
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'MaxPool3dModuleRandomSimple_basic',
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"NllLossModuleBackward1DSum_basic",
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'MaxPool3dModule_basic',
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"NllLossModuleBackward1DWeight_basic",
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'MaxPool3dStaticCeilModeTrueModule_basic',
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"NllLossModuleBackward1D_basic",
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'MaxPool3dStaticModule_basic',
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"NumToTensorFloatModule_basic",
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'MulFloatModule_basic',
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"NumToTensorIntModule_basic",
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'MulIntModule_basic',
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"NumelModule_basic",
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'NativeGroupNormBackwardModule_basic',
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"NumelZeroRankModule_basic",
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'NeFloatIntModule_basic',
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"PowIntFloatModule_basic",
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'NeIntModule_basic',
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"PrimMaxIntModule_basic",
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'NllLossModuleBackward1DMeanWeight_basic',
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"PrimMinIntDynamicModule_basic",
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'NllLossModuleBackward1DMean_basic',
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"PrimMinIntModule_basic",
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'NllLossModuleBackward1DSumWeight_basic',
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"PrimsSqueezeEmptyDimensionsModule_basic",
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'NllLossModuleBackward1DSum_basic',
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"PrimsSqueezeModule_basic",
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'NllLossModuleBackward1DWeight_basic',
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"PrimsViewOfModule_basic",
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'NllLossModuleBackward1D_basic',
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"PrimsViewOfZeroRankModule_basic",
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'NumToTensorFloatModule_basic',
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"QuantizedMLP_basic",
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'NumToTensorIntModule_basic',
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"QuantizedNoLayer_basic",
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'NumelModule_basic',
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"QuantizedSingleLayer_basic",
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'NumelZeroRankModule_basic',
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"QuantizedBatchedInputSingleLayer_basic",
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'PowIntFloatModule_basic',
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"ReduceMaxAlongDimUnsignedInt_basic",
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'PrimMaxIntModule_basic',
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"ReduceMinAlongDimUnsignedInt_basic",
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'PrimMinIntDynamicModule_basic',
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"RsubInt0d_NumToTensor_Module_basic",
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'PrimMinIntModule_basic',
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"ScalarConstantTupleModule_basic",
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'PrimsSqueezeEmptyDimensionsModule_basic',
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"ScalarImplicitFloatModule_basic",
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'PrimsSqueezeModule_basic',
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"ScalarImplicitIntModule_basic",
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'PrimsViewOfModule_basic',
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"SortIntListReverse_basic",
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'PrimsViewOfZeroRankModule_basic',
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"SortIntList_basic",
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'QuantizedBatchedInputSingleLayer_basic',
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"SplitDimDynamicModule_basic",
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'QuantizedMLP_basic',
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"SplitDimStaticModule_basic",
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'QuantizedNoLayer_basic',
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"SqrtIntConstantModule_basic",
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'QuantizedSingleLayer_basic',
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"SqrtIntModule_basic",
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'ReduceMaxAlongDimUnsignedInt_basic',
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"SubFloatModule_basic",
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'ReduceMinAlongDimUnsignedInt_basic',
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"SubIntModule_basic",
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'RsubInt0d_NumToTensor_Module_basic',
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"TModuleRank0_basic",
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'ScalarConstantTupleModule_basic',
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"TensorToBoolZeroRank_basic",
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'ScalarImplicitFloatModule_basic',
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"TensorToBool_basic",
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'ScalarImplicitIntModule_basic',
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"TensorToFloatZeroRank_basic",
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'ScatterValueFloatModule_basic',
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"TensorToFloat_basic",
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'ScatterValueIntModule_basic',
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"TensorToIntZeroRank_basic",
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'SortIntListReverse_basic',
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"TensorToInt_basic",
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'SortIntList_basic',
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"ThresholdBackward2dMixedModule_basic",
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'SplitDimDynamicModule_basic',
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"TorchPrimLoopForLikeModule_basic",
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'SplitDimStaticModule_basic',
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"TorchPrimLoopWhileLikeModule_basic",
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'SqrtIntConstantModule_basic',
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"UnbindIntGetItem_Module_basic",
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'SqrtIntModule_basic',
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"UnbindIntListUnpack_Module_basic",
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'SubFloatModule_basic',
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"UnsafeIndexPutHackedTwin1DFloatNonAccumulateModule_basic",
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'SubIntModule_basic',
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"UpSampleNearest2dDynamicFactor_basic",
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'TModuleRank0_basic',
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"ViewCollapseDynamicWithAtenSizeIntModule_basic",
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'TensorToBoolZeroRank_basic',
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"ViewSizeFromOtherTensor_basic",
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'TensorToBool_basic',
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'TensorToFloatZeroRank_basic',
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'TensorToFloat_basic',
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'TensorToIntZeroRank_basic',
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'TensorToInt_basic',
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'TestMultipleTensorAndPrimitiveTypesReturn_basic',
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'ThresholdBackward2dMixedModule_basic',
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'TorchPrimLoopForLikeModule_basic',
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'TorchPrimLoopWhileLikeModule_basic',
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'UnbindIntGetItem_Module_basic',
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'UnbindIntListUnpack_Module_basic',
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'UnsafeIndexPutHackedTwin1DFloatNonAccumulateModule_basic',
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'UnsafeViewCollapseDynamicWithAtenSizeIntModule_basic',
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'UpSampleNearest2dDynamicFactor_basic',
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'ViewCollapseDynamicWithAtenSizeIntModule_basic',
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'ViewSizeFromOtherTensor_basic',
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}
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}
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FX_IMPORTER_CRASHING_SET = {
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FX_IMPORTER_CRASHING_SET = {
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'TransposeIntModule_basic',
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"HBC_basic",
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'PermuteModule_basic',
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'PermuteNegativeIndexModule_basic',
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'TransposeIntNegDimsModule_basic',
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'Add_MixPModule_basic',
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'EmbeddingModuleI64_basic',
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'EmbeddingModuleI32_basic',
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'EmbeddingModuleF16_basic',
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'EmbeddingModuleI32Static_basic',
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'EmbeddingModule1DIndices_basic',
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'BroadcastToSameRankStaticModule_basic',
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'BroadcastZeroRankInputStaticModule_basic',
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'BroadcastListConstructWithMinusOneModule_basic',
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'ExpandModule_basic',
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'ReturnThreeTensorFloat32_basic',
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'AddCDivModule_basic',
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'TensorIntModule_basic',
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'TensorFloatModule_basic',
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'BoolTensorReturnFalseModule_basic',
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'BoolTensorReturnTrueModule_basic',
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'BoolTensorReturnMixedModule_basic',
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'TModuleRank2_basic',
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'ReturnTwoTensorF32I64_basic',
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'IndexTensorMultiInputNonContiguousDynamic_basic',
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'ExpandAsFloatModule_basic',
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'ExpandAsIntModule_basic',
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'CopyModule_basic',
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'CopyWithDifferentSizesModule_basic',
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'CopyWithDifferentDTypesModule_basic',
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'CopyWithDifferentDTypesAndSizesModule_basic',
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'ToCopyModule_basic',
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'NumpyTRankNStaticModule_basic',
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'NumpyTRankNDynamicModule_basic',
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'NumpyTRank2Module_basic',
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'Aten_EmbeddingBagExample_basic',
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'CumsumModule_basic',
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'MoveDimIntModule_basic',
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'MoveDimIntNegativeIndexModule_basic',
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'ScaledDotProductAttentionDifferentModule_basic',
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'AtenComplex64Module_basic',
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'Add_Module_basic',
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'ResNet18Module_basic',
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'ResNet18StaticModule_basic',
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'MobilenetV3Module_basic',
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'Mlp1LayerModule_basic',
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'Mlp2LayerModule_basic',
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'Mlp2LayerModuleNoBias_basic',
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'BatchMlpLayerModule_basic',
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'Conv2dNoPaddingModule_basic',
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'Conv2dBiasNoPaddingModule_basic',
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'Conv2dWithPaddingModule_basic',
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'Conv2dWithPaddingDilationStrideModule_basic',
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'Conv2dWithPaddingDilationStrideStaticModule_basic',
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'Conv2dWithPaddingDilationStrideStaticModule_depthwise',
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'Conv2dWithPaddingDilationStrideStaticModule_grouped',
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'Conv2dWithPaddingDilationStrideStaticModule_grouped_multiplier',
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'BatchNorm1DModule_basic',
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'BatchNorm1DWith2DInputModule_basic',
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'BatchNorm2DModule_basic',
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'BatchNorm3DModule_basic',
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'BatchNorm1DStaticShapeModule_basic',
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'NativeBatchNorm1DModule_basic',
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'NativeBatchNorm2DModule_basic',
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'NativeBatchNorm3DModule_basic',
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'NativeBatchNormNoneWeightModule_basic',
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'NativeGroupNormBackwardModule_basic',
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'LayerNormModule_basic',
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'LayerNormLastDimModule_basic',
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'LayerNormNormalizeOverAllDimsModule_basic',
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'AtenInstanceNormModule_basic',
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'ElementwiseUnsqueezeBroadcastModule_basic',
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'ElementwiseFlattenBroadcastModule_basic',
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'ElementwiseDivScalarModule_basic',
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'ElementwiseAtenDivIntScalarModule_basic',
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'ElementwiseDivRoundingModeTruncModule_basic',
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'ElementwiseDivRoundingModeFloorModule_basic',
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'ElementwiseDivRoundingModeTruncStaticModule_basic',
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'ElementwiseDivRoundingModeFloorStaticModule_basic',
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'ElementwiseDivRoundingModeTruncIntStaticModule_basic',
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'ElementwiseDivRoundingModeFloorIntStaticModule_basic',
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'ElementwiseSubScalarFloatModule_basic',
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'ElementwiseAddScalar_TensorLiteralInt32_Module_basic',
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'ElementwiseCloneModule_basic',
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'ElementwiseCloneContiguousModule_basic',
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'ElementwiseCloneChannelsLastMemoryFormatModule_basic',
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'Fill_TensorFloat64WithFloat32_basic',
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'Fill_TensorFloat64WithFloat32Static_basic',
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'Fill_TensorFloat64WithFloat64_basic',
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'Fill_TensorFloat64WithInt64_basic',
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'Fill_TensorFloat64WithInt64Static_basic',
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'Fill_TensorFloat32WithFloat32_basic',
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'Fill_TensorFloat32WithFloat64_basic',
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'Fill_TensorFloat32WithInt64_basic',
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'TupleModule_basic',
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'Matmul_dot',
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'UnsafeViewCollapseDynamicWithAtenSizeIntModule_basic',
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'SqueezeModule_broadcast',
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'SelectIntNegativeDimAndIndexStaticModule_basic',
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'NarrowVerticalTest_basic',
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'NarrowVerticalTest2_basic',
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'SliceCopy_Module_basic',
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'SliceCopyNegative_Module_basic',
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||||||
'SliceCopyStartGreaterThanDimSize_Module_basic',
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'SliceCopyEndGreaterThanDimSize_Module_basic',
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'SliceCopyNonZeroDim_Module_basic',
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'SplitTensorGetItem_Module_basic',
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'SplitTensorListUnpackModule_basic',
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'SplitTensorLastSmallerModule_basic',
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'SplitTensorNegativeDimModule_basic',
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'SplitWithSizesListUnpackModule_basic',
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'ChunkListUnpack_Module_basic',
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'ChunkListUnpackUneven_Module_basic',
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'ChunkListUnpackDynamic_Module_basic',
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'ChunkListUnpackUnevenDynamic_Module_basic',
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'SplitWithSizes_Module_basic',
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'ArangeStartOutModule_basic',
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'ArangeStartOutDtypeModule_basic',
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'FullModuleInt3D_basic',
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'ZeroFloat32Module_basic',
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'ZeroInt32Module_basic',
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'ZeroInt64Module_basic',
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'ThresholdBackward1dIntModule_basic',
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'ThresholdBackward2dIntModule_basic',
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'ThresholdBackward3dIntModule_basic',
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'HBC_basic',
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'UniformModule_basic',
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'UniformStaticShapeModule_basic',
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'UniformNoCorrelationModule_basic',
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'ExponentialModule_basic',
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'BernoulliFloatModule_basic',
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'BernoulliTensorModule_basic',
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'RandnGeneratorModule_basic',
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'RandnGeneratorF64Module_basic',
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'IndexPutImpl1DFloatNonAccumulateModule_basic',
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'IndexPutImpl2DFloatNonAccumulateModule_basic',
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'IndexPutImpl2DImplicitModule_basic',
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'IndexPutImpl2DNoneIndexStaticModule_basic',
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'IndexPutImpl3DFloatNonAccumulateModule_basic',
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'IndexPutImpl1DIntNonAccumulateModule_basic',
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|
||||||
'IndexPutImpl1DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutImpl2DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutImpl3DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutImpl1DIntAccumulateModule_basic',
|
|
||||||
'IndexPut1DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPut2DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPut3DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPut1DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPut2DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPut3DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPut1DFloatAccumulateModule_basic',
|
|
||||||
'IndexPut2DFloatAccumulateModule_basic',
|
|
||||||
'IndexPut3DFloatAccumulateModule_basic',
|
|
||||||
'IndexPut1DIntAccumulateModule_basic',
|
|
||||||
'IndexPut2DIntAccumulateModule_basic',
|
|
||||||
'IndexPut3DIntAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin1DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin2DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin3DFloatNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin1DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin2DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin3DIntNonAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin1DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin2DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin3DFloatAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin1DIntAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin2DIntAccumulateModule_basic',
|
|
||||||
'IndexPutHackedTwin3DIntAccumulateModule_basic',
|
|
||||||
'ScatterValueFloatModule_basic',
|
|
||||||
'ScatterValueIntModule_basic',
|
|
||||||
'IndexPutImpl2DIndexModule_basic',
|
|
||||||
'IndexPutImplIndexWithNoneModule_basic',
|
|
||||||
'AdaptiveAvgPool2dNonUnitOutputSizeStaticModule_basic',
|
|
||||||
'AdaptiveAvgPool2dNonUnitOutputSizeDynamicModule_basic',
|
|
||||||
'AdaptiveAvgPool2dOutputSizeDivisibleByInputDynamicModule_basic',
|
|
||||||
'AdaptiveAvgPool2dOutputSizeDivisibleByInputStaticModule_basic',
|
|
||||||
'MaxPool3dModule_basic',
|
|
||||||
'MaxPool3dModuleRandomSimple_basic',
|
|
||||||
'MaxPool3dLargeDatadModule_basic',
|
|
||||||
'MaxPool3dEmptyStrideStaticModule_basic',
|
|
||||||
'MaxPool3dStaticModule_basic',
|
|
||||||
'MaxPool3dStaticCeilModeTrueModule_basic',
|
|
||||||
'MaxPool3dCeilModeTrueModule_basic',
|
|
||||||
'AdaptiveAvgPool1dStaticEvenMultiple_basic',
|
|
||||||
'AdaptiveAvgPool1dNonUnitOutputSizeStaticModule_basic',
|
|
||||||
'AdaptiveAvgPool1dNonUnitOutputSizeDynamicModule_basic',
|
|
||||||
'TestMultipleTensorReturn_basic',
|
|
||||||
'TestMultipleTensorAndPrimitiveTypesReturn_basic',
|
|
||||||
'TestF16Return_basic',
|
|
||||||
}
|
}
|
||||||
|
|
||||||
STABLEHLO_PASS_SET = {
|
STABLEHLO_PASS_SET = {
|
||||||
|
|
|
||||||
|
|
@ -8,6 +8,8 @@ from typing import Union, Optional, Sequence
|
||||||
import numpy as np
|
import numpy as np
|
||||||
import torch
|
import torch
|
||||||
import torch.utils._pytree as pytree
|
import torch.utils._pytree as pytree
|
||||||
|
from torch.export.graph_signature import OutputSpec, OutputKind
|
||||||
|
from torch.export import ExportedProgram
|
||||||
|
|
||||||
from torch_mlir import fx
|
from torch_mlir import fx
|
||||||
from torch_mlir.torchscript import (
|
from torch_mlir.torchscript import (
|
||||||
|
|
@ -37,8 +39,8 @@ def refine_result_type(_result):
|
||||||
|
|
||||||
|
|
||||||
def jit(
|
def jit(
|
||||||
model: torch.nn.Module,
|
prog: ExportedProgram,
|
||||||
example_args: _example_args,
|
func_name: str,
|
||||||
output_type: Union[str, "OutputType"] = OutputType.TORCH,
|
output_type: Union[str, "OutputType"] = OutputType.TORCH,
|
||||||
backend_legal_ops: Optional[Sequence[str]] = None,
|
backend_legal_ops: Optional[Sequence[str]] = None,
|
||||||
extra_library=None,
|
extra_library=None,
|
||||||
|
|
@ -61,7 +63,7 @@ def jit(
|
||||||
option_string = ("{backend-legal-ops=" + ",".join(backend_legal_ops) +
|
option_string = ("{backend-legal-ops=" + ",".join(backend_legal_ops) +
|
||||||
" extra-library=" + extra_library_file_name + "}")
|
" extra-library=" + extra_library_file_name + "}")
|
||||||
|
|
||||||
mlir_module = fx.export_and_import(model, *example_args, func_name=model.__class__.__name__)
|
mlir_module = fx.export_and_import(prog, func_name=func_name)
|
||||||
assert mlir_module is not None
|
assert mlir_module is not None
|
||||||
run_pipeline_with_repro_report(
|
run_pipeline_with_repro_report(
|
||||||
mlir_module,
|
mlir_module,
|
||||||
|
|
@ -90,8 +92,9 @@ class FxImporterTestConfig(TestConfig):
|
||||||
def run(self, artifact: torch.nn.Module, trace: Trace) -> Trace:
|
def run(self, artifact: torch.nn.Module, trace: Trace) -> Trace:
|
||||||
result: Trace = []
|
result: Trace = []
|
||||||
for item in trace:
|
for item in trace:
|
||||||
module = jit(artifact,
|
prog = torch.export.export(artifact, tuple(item.inputs))
|
||||||
item.inputs,
|
module = jit(prog,
|
||||||
|
func_name=artifact.__class__.__name__,
|
||||||
output_type="linalg-on-tensors")
|
output_type="linalg-on-tensors")
|
||||||
module = self.backend.compile(module)
|
module = self.backend.compile(module)
|
||||||
backend_module = self.backend.load(module)
|
backend_module = self.backend.load(module)
|
||||||
|
|
@ -107,6 +110,13 @@ class FxImporterTestConfig(TestConfig):
|
||||||
outputs = getattr(backend_module,
|
outputs = getattr(backend_module,
|
||||||
artifact.__class__.__name__)(*numpy_inputs)
|
artifact.__class__.__name__)(*numpy_inputs)
|
||||||
output = refine_result_type(outputs)
|
output = refine_result_type(outputs)
|
||||||
|
if isinstance(output, (tuple, list)):
|
||||||
|
user_output = []
|
||||||
|
out_spec: OutputSpec
|
||||||
|
for val, out_spec in zip(output, prog.graph_signature.output_specs):
|
||||||
|
if out_spec.kind == OutputKind.USER_OUTPUT:
|
||||||
|
user_output.append(val)
|
||||||
|
output = tuple(user_output)
|
||||||
result.append(
|
result.append(
|
||||||
TraceItem(symbol=item.symbol,
|
TraceItem(symbol=item.symbol,
|
||||||
inputs=item.inputs,
|
inputs=item.inputs,
|
||||||
|
|
|
||||||
|
|
@ -74,6 +74,10 @@ class ValueReport:
|
||||||
|
|
||||||
def _evaluate_outcome(self):
|
def _evaluate_outcome(self):
|
||||||
value, golden = self.value, self.golden_value
|
value, golden = self.value, self.golden_value
|
||||||
|
if isinstance(value, tuple) and len(value) == 1:
|
||||||
|
value = value[0]
|
||||||
|
if isinstance(golden, tuple) and len(golden) == 1:
|
||||||
|
golden = golden[0]
|
||||||
if isinstance(golden, float):
|
if isinstance(golden, float):
|
||||||
if not isinstance(value, float):
|
if not isinstance(value, float):
|
||||||
return self._record_mismatch_type_failure('float', value)
|
return self._record_mismatch_type_failure('float', value)
|
||||||
|
|
|
||||||
|
|
@ -10,6 +10,7 @@ import warnings
|
||||||
import torch
|
import torch
|
||||||
import torch.export
|
import torch.export
|
||||||
import torch.nn as nn
|
import torch.nn as nn
|
||||||
|
from torch.export import ExportedProgram
|
||||||
|
|
||||||
from torch_mlir.extras.fx_importer import FxImporter, FxImporterHooks
|
from torch_mlir.extras.fx_importer import FxImporter, FxImporterHooks
|
||||||
from torch_mlir import ir
|
from torch_mlir import ir
|
||||||
|
|
@ -18,7 +19,7 @@ from torch_mlir.extras.fx_decomp_util import get_decomposition_table
|
||||||
|
|
||||||
|
|
||||||
def export_and_import(
|
def export_and_import(
|
||||||
f,
|
f: Union[nn.Module, ExportedProgram],
|
||||||
*args,
|
*args,
|
||||||
fx_importer: Optional[FxImporter] = None,
|
fx_importer: Optional[FxImporter] = None,
|
||||||
dynamic_shapes: Optional[Union[Dict[str, Any], Tuple[Any]]] = None,
|
dynamic_shapes: Optional[Union[Dict[str, Any], Tuple[Any]]] = None,
|
||||||
|
|
@ -34,6 +35,9 @@ def export_and_import(
|
||||||
|
|
||||||
if fx_importer is None:
|
if fx_importer is None:
|
||||||
fx_importer = FxImporter(context=context, hooks=hooks)
|
fx_importer = FxImporter(context=context, hooks=hooks)
|
||||||
|
if isinstance(f, ExportedProgram):
|
||||||
|
prog = f
|
||||||
|
else:
|
||||||
prog = torch.export.export(f, args, kwargs, dynamic_shapes=dynamic_shapes)
|
prog = torch.export.export(f, args, kwargs, dynamic_shapes=dynamic_shapes)
|
||||||
if decomposition_table is None:
|
if decomposition_table is None:
|
||||||
decomposition_table = get_decomposition_table()
|
decomposition_table = get_decomposition_table()
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue