mirror of https://github.com/llvm/torch-mlir
103 lines
3.8 KiB
Python
103 lines
3.8 KiB
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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# Also available under a BSD-style license. See LICENSE.
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# This file describes the sets of tests expected to fail for each config.
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# This information is deliberately kept in a side table, rather than
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# in-situ on the test, as a deliberate layering decision: tests should
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# have unique keys to identify them and enable side tables of various kinds
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# (this includes down into lower parts of the stack, where a side table
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# might be used to keep more elaborate sets of testing configurations).
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# Lists of tests that fail to even reach the backends.
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# These represent further work needed in torch-mlir to lower them properly
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# to the backend contract.
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COMMON_TORCH_MLIR_LOWERING_XFAILS = {
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"QuantizedMLP_basic",
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"IouOfModule_basic",
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"TableBatchEmbeddingModule_basic",
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"MobilenetV2Module_basic",
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"MobilenetV3Module_basic",
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}
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REFBACKEND_XFAIL_SET = COMMON_TORCH_MLIR_LOWERING_XFAILS
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# Write the TOSA set as a "passing" set as it is very early in development
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# and very few tests work yet.
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TOSA_PASS_SET = {
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"ElementwiseUnaryModule_basic",
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"ElementwiseBinaryModule_basic",
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"ElementwiseSigmoidModule_basic",
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"ElementwiseReluModule_basic",
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"ElementwiseFloorModule_basic",
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"ElementwiseLogModule_basic",
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"ElementwiseBinaryStaticShapeModule_basic",
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"TanhBackward_basic",
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"ElementwiseAddModule_basic",
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"ReturnThreeTensorFloat32_basic",
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"AddCMulModule_basic",
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"AddCDivModule_basic",
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"SqueezeModule_broadcast",
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"BoolTensorReturnFalseModule_basic",
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"BoolTensorReturnTrueModule_basic",
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"BoolTensorReturnMixedModule_basic",
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"ElementwiseRsqrtModule_basic",
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"SqueezeModule_static",
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"SqueezeModule_noUnitDim",
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"SqueezeModule_allUnitDim",
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"TModuleRank1_basic",
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"TModuleRank0_basic",
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"ElementwiseToDtypeIdentityModule_basic",
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"View1DFoldModule_basic",
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"UnsafeView1DFoldModule_basic",
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"SqueezeDimModule_static",
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"SqueezeDimModule_identity",
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"SqueezeDimModule_unitDim",
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"ReturnTwoTensorF32I64_basic",
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"ElementwisePowModule_basic",
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"BmmModule_basic",
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"Matmul_dot",
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"Matmul_3d",
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"RsubModule_basic",
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"RsubModule_noalpha_basic",
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"ElementwiseGtFloatScalarModule_basic",
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"ElementwiseGtIntScalarModule_basic",
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"ElementwiseGtMixed2ScalarModule_basic",
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"ElementwiseGtFloatTensorModule_basic",
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"ElementwiseGtIntTensorModule_basic",
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"ElementwiseLtFloatScalarModule_basic",
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"ElementwiseLtIntScalarModule_basic",
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"ElementwiseLtDiffWidthScalarModule_basic",
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"ElementwiseLtFloatTensorModule_basic",
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"ElementwiseLtIntTensorModule_basic",
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"ElementwiseEqFloatScalarModule_basic",
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"ElementwiseEqIntScalarModule_basic",
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"ElementwiseEqDiffWidthScalarModule_basic",
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"ElementwiseEqFloatTensorModule_basic",
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"ElementwiseEqIntTensorModule_basic",
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"ElementwiseMulScalarModule_int",
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"ElementwiseMulScalarModule_float",
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"ElementwiseMulTensorIntModule_basic",
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"ElementwiseDivScalarModule_basic",
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"ElementwiseSubScalarFloatModule_basic",
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"ElementwiseAddScalarFloatModule_basic",
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"ElementwiseMulScalarModule_float",
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"ElementwiseCeilModule_basic",
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"ElementwiseReciprocalModule_basic",
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"TypePromotionAlphaWiderModule_basic",
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"Conv2dWithPaddingDilationStrideStaticModule_basic",
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"BatchNorm1DModule_basic",
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"BatchNorm2DModule_basic",
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"BatchNorm3DModule_basic",
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"FlattenStaticModule_basic",
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"FlattenRank0Module_basic",
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"ElementwiseFlattenBroadcastModule_basic",
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"SquareModule_basic",
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"MaxPool2dStaticModule_basic",
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"ResNet18StaticModule_basic",
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"NativeLayerNormModule4D_basic",
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"LayerNormNormalizeOverAllDimsModule_basic",
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"PermuteModule_basic",
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"PermuteNegativeIndexModule_basic",
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}
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