mirror of https://github.com/llvm/torch-mlir
parent
d9cbf01d1e
commit
b3f68dfef3
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@ -50,11 +50,6 @@ TORCHDYNAMO_XFAIL_SET = {
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# RecursionError: maximum recursion depth exceeded
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# RuntimeError: Failed running call_function aten.lift_fresh_copy(...
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"LiftFreshCopyModule_basic",
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# torch._subclasses.fake_tensor.DynamicOutputShapeException: aten.bincount.default
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# RuntimeError: Failed running call_function aten.bincount(...
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"BincountMinlengthModule_basic",
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"BincountModule_basic",
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"BincountStaticSizeModule_basic",
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# TypeError: new_empty(): argument 'size' (position 1) must be tuple of ints, but found element of type NoneType at pos 0
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# RuntimeError: Failed running call_function aten.convolution_backward(...
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"ConvolutionBackwardModule2DPadded_basic",
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@ -67,11 +62,6 @@ TORCHDYNAMO_XFAIL_SET = {
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"NllLossModuleBackward1DSum_basic",
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"NllLossModuleBackward1DWeight_basic",
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"NllLossModuleBackward1D_basic",
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# torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default
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# RuntimeError: Failed running call_module self_quantize(...
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"QuantizedMLP_basic",
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"ScalarImplicitFloatModule_basic",
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"ScalarImplicitIntModule_basic",
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# Decomposition assertion:
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# assert device is not None or dtype is not None or memory_format is not None
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"ToCopyModule_basic",
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