torch-mlir/e2e_testing/torchscript/xfail_sets.py

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# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# This file describes the sets of tests expected to fail for each config.
# This information is deliberately kept in a side table, rather than
# in-situ on the test, as a deliberate layering decision: tests should
# have unique keys to identify them and enable side tables of various kinds
# (this includes down into lower parts of the stack, where a side table
# might be used to keep more elaborate sets of testing configurations).
# Lists of tests that fail to even reach the backends.
# These represent further work needed in torch-mlir to lower them properly
# to the backend contract.
COMMON_TORCH_MLIR_LOWERING_XFAILS = {
"QuantizedMLP_basic",
"IouOfModule_basic",
}
# Fails due to https://github.com/llvm/torch-mlir/issues/448
SIZE_ZERO_TENSOR_XFAILS = {
"SliceEndSleStartModule_basic",
"SliceStartEqEndModule_basic",
"SliceOutOfUpperBoundIndexModule_basic",
}
REFBACKEND_XFAIL_SET = set.union(COMMON_TORCH_MLIR_LOWERING_XFAILS, SIZE_ZERO_TENSOR_XFAILS)
# Write the TOSA set as a "passing" set as it is very early in development
# and very few tests work yet.
TOSA_PASS_SET = {
"ElementwiseUnaryModule_basic",
"ElementwiseBinaryModule_basic",
"ElementwiseSigmoidModule_basic",
"ElementwiseReluModule_basic",
"ElementwiseFloorModule_basic",
"ElementwiseLogModule_basic",
"TanhBackward_basic",
"ElementwiseAddModule_basic",
"ReturnThreeTensorFloat32_basic",
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"AddCMulModule_basic",
"AddCDivModule_basic",
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"SqueezeModule_broadcast",
"BoolTensorReturnFalseModule_basic",
"BoolTensorReturnTrueModule_basic",
"BoolTensorReturnMixedModule_basic",
}