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Update xfail_sets.py

pull/1646/head snapshot-20221125.668
Vivek Khandelwal 2022-11-24 20:29:35 +05:30
parent d9cbf01d1e
commit b3f68dfef3
1 changed files with 0 additions and 10 deletions
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e2e_testing/xfail_sets.py
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@ -50,11 +50,6 @@ TORCHDYNAMO_XFAIL_SET = {
# RecursionError: maximum recursion depth exceeded # RecursionError: maximum recursion depth exceeded
# RuntimeError: Failed running call_function aten.lift_fresh_copy(... # RuntimeError: Failed running call_function aten.lift_fresh_copy(...
"LiftFreshCopyModule_basic", "LiftFreshCopyModule_basic",
# torch._subclasses.fake_tensor.DynamicOutputShapeException: aten.bincount.default
# RuntimeError: Failed running call_function aten.bincount(...
"BincountMinlengthModule_basic",
"BincountModule_basic",
"BincountStaticSizeModule_basic",
# TypeError: new_empty(): argument 'size' (position 1) must be tuple of ints, but found element of type NoneType at pos 0 # TypeError: new_empty(): argument 'size' (position 1) must be tuple of ints, but found element of type NoneType at pos 0
# RuntimeError: Failed running call_function aten.convolution_backward(... # RuntimeError: Failed running call_function aten.convolution_backward(...
"ConvolutionBackwardModule2DPadded_basic", "ConvolutionBackwardModule2DPadded_basic",
@ -67,11 +62,6 @@ TORCHDYNAMO_XFAIL_SET = {
"NllLossModuleBackward1DSum_basic", "NllLossModuleBackward1DSum_basic",
"NllLossModuleBackward1DWeight_basic", "NllLossModuleBackward1DWeight_basic",
"NllLossModuleBackward1D_basic", "NllLossModuleBackward1D_basic",
# torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default
# RuntimeError: Failed running call_module self_quantize(...
"QuantizedMLP_basic",
"ScalarImplicitFloatModule_basic",
"ScalarImplicitIntModule_basic",
# Decomposition assertion: # Decomposition assertion:
# assert device is not None or dtype is not None or memory_format is not None # assert device is not None or dtype is not None or memory_format is not None
"ToCopyModule_basic", "ToCopyModule_basic",