From cfbcf5bd16afe72a7edb4405a349a763bc40b888 Mon Sep 17 00:00:00 2001 From: sbalandi Date: Tue, 27 Feb 2024 15:40:12 +0100 Subject: [PATCH] disable tests --- .../skip_tests_config.cpp | 42 +++++++++++++++++- .../skip_tests_config.cpp | 43 +++++++++++++++++++ .../tests/functional/skip_tests_config.cpp | 6 ++- 3 files changed, 88 insertions(+), 3 deletions(-) diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp index 8f0c39e50fef5d..48383fa351c8b7 100644 --- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp +++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp @@ -206,6 +206,36 @@ std::vector disabledTestPatterns() { R"(smoke_LPT/ConvolutionTransformation.CompareWithRefImpl/f32_\[.*,3,16,16\]_CPU_f32_rank=4D_fq_on_data=\{level=256_shape=\[1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ .*18.7 \}_output_high\{ 18.8 \}_precision=\}_fq_on_weights=\{_255_\[6,1,1,1\]_\{ .*1.52806e.*39, .*0.2, .*0.3, .*0.3, .*0.2, .*0.1 \}_\{ 1.52806e.*39, 0.2, 0.3, 0.3, 0.2, 0.1 \}\})", // Issue: 132494 R"(.*smoke_Inverse.*bf16.*)", + // Issue: CVS-133173 + R"(.*smoke_LPT_4D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/f32_\[1,8,16,16\]_CPU_f32_\[16,16\]_level=256_shape=\[.*\]_input_low=\{ 0 \}_input_high=\{ 25.5 \}_output_low=\{ 0 \}_output_high\{ 25.5 \}_precision=__255_\[.*\]_\{ -12.7 \}_\{ 12.7 \}_\{\}.*)", + R"(.*smoke_LPT_4D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/f32_\[1,8,16,16\]_CPU_f32_\[16,16\]_level=256_shape=\[1,1,1,1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ -12.7 \}_output_high\{ 12.8 \}_precision=.*)", + R"(.*smoke_LPT_3D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/f32_\[1,8,16\]_CPU_f32_\[16\]_.*_input_high=\{ 25.5 \}_.*_precision=__255_\[1,1,1\]_\{ -12.7 \}_\{ 12.7 \}_\{\}.*)", + R"(.*smoke_LPT/ConvolutionQDqTransformation.CompareWithRefImpl/f32_\[(1,3,4,4|4,3,4,4)\]_CPU_f32_level=256_shape=\[1,1,1,1\]_input_low=\{ -12.8 \}_input_high=\{ 12.7 \}_output_low=\{ 0 \}_output_high=\{ 255 \}_precision=f32__u8___f32__.*_f32_\[\]_1_1_undefined__\{, 15\}_f32_\[\]__255_\[1,1,1,1\]_\{ -128 \}_\{ 127 \}__i8___f32__\{ -128 \}_.*_1_1_i8_.*)", + R"(.*smoke_LPT/ConvolutionQDqTransformation.CompareWithRefImpl/f32_\[(1,3,4,4|4,3,4,4)\]_CPU_f32_level=256_shape=\[1,1,1,1\]_input_low=\{ -12.8 \}_input_high=\{ 12.7 \}_output_low=\{ 0 \}_output_high=\{ 255 \}_precision=f32__u8___f32_\{\}__\{ 0.1 \}_f32_\[\]_1_1_undefined__\{, 15\}_f32_\[\]__255_\[1,1,1,1\]_\{ -128 \}_\{ 127 \}__i8_.*)", + R"(.*smoke_LPT/MultiplyTransformation.CompareWithRefImpl/f32_\[1,3,16,16\]_CPU_f32_undefined__on_branch1_0_2.55_0_2.55_on_branch2_-1.28_1.27_-1.28_1.27_1.*)", + R"(.*smoke_LPT/MultiplyTransformation.CompareWithRefImpl/f32_\[1,3,16,16\]_CPU_f32_broadcast1_undefined__on_branch1_-1.28_1.27_-1.28_1.27_on_branch2_0_2.55_0_2.55_0.*)", + R"(.*smoke_LPT/MultiplyTransformation.CompareWithRefImpl/f32_\[1,3,16,16\]_CPU_f32_broadcast2_undefined__on_branch1_0_2.55_0_2.55_on_branch2_-1.27_1.28_-1.27_1.28_0.*)", + R"(.*smoke_LPT/ConvolutionTransformation.CompareWithRefImpl/f32_\[(1|4),3,16,16\]_CPU_f32_rank=4D_fq_on_data=\{level=256_shape=\[1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ -18.7 \}_output_high\{ 18.8 \}_precision=\}_fq_on_weights=\{_255_\[1\]_\{ -18.7 \}_\{ 18.7 \}\}.*)", + R"(.*smoke_LPT/ConvolutionTransformation.CompareWithRefImpl/f32_\[(1|4),3,16,16\]_CPU_f32_rank=4D_fq_on_data=\{level=256_shape=\[1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ -18.7 \}_output_high\{ 18.8 \}_precision=\}_fq_on_weights=\{_255_\[6,1,1,1\].*)", + R"(.*smoke_LPT/RecurrentCellTransformation.CompareWithRefImpl/f32_\[1,2,16\]_CPU_f32FQ_X_level=256_.*_FQ_W_level=255.*)", + R"(.*smoke_LPT/SubtractTransformation.CompareWithRefImpl/f16_\[1,3,16,16\]_CPU_f32.*)", + R"(.*smoke_LPT/FakeQuantizeTransformation.CompareWithRefImpl/f32_\[1,32,72,48\]_CPU_f32_0_level=65536_shape=\[\]_input_low=\{ 0 \}_input_high=\{ 65.535 \}_output_low=\{ 0 \}_output_high=\{ 65.535 \}_precision=.*)", + R"(.*smoke_LPT/FakeQuantizeTransformation.CompareWithRefImpl/f32_\[1,32,72,48\]_CPU_f32_0_level=65536_shape=\[\]_input_low=\{ -32.768 \}_input_high=\{ 32.767 \}_output_low=\{ -32.768 \}_output_high=\{ 32.767 \}_precision=.*)", + R"(.*smoke_LPT/MoveFakeQuantizeTransformation.CompareWithRefImpl/f32_\[(1|4),1,16,16\]_CPU_f32SPLIT:0_OP:_FQ:level=256_shape=\[\]_input_low=\{ (0|-1.28) \}_input_high=\{ (2.55|1.27) \}_output_low=\{ (0|-1.28) \}_output_high=\{ (2.55|255|1.27) \}_precision=_DQ:.*)", + R"(.*smoke_LPT/MoveFakeQuantizeTransformation.CompareWithRefImpl/f32_\[(1|4),1,16,16\]_CPU_f32SPLIT:0_OP:relu_FQ:level=256_shape=\[\]_input_low=\{ 0 \}_input_high=\{ 2.55 \}_output_low=\{ 0 \}_output_high=\{ 255 \}_precision=_DQ:__f32_\{\}__\{ 0.01 \}_undefined_\[\]_0_1_undefined.*)", + R"(.*smoke_LPT/MoveFakeQuantizeTransformation.CompareWithRefImpl/f32_\[(1|4),1,16,16\]_CPU_f32SPLIT:0_OP:relu_FQ:level=256_shape=\[1,6,1,1\]_input_low=\{ 0, 0, 0, 0, 0, 0 \}_input_high=\{ 2.55, 1.275, 0.85, 0.6375, 0.51, 0.425 \}_output_low=\{ -128, -128, -128, -128, -128, -128 \}_output_high=\{ 127, 127, 127, 127, 127, 127 \}_precision=_DQ:\{\}.*)", + R"(.*smoke_LPT/MoveFakeQuantizeTransformation.CompareWithRefImpl/f32_\[(1|4),1,16,16\]_CPU_f32SPLIT:(0|1)_OP:_FQ:level=256_shape=\[1,6,1,1\]_input_low=\{ 0, 0, 0, 0, 0, 0 \}_input_high=\{ 2.55, 1.275, 0.85, 0.6375, 0.51, 0.425 \}_output_low=\{ 0, 0, 0, 0, 0, 0 \}_output_high=\{ 255, 127.5, 85, 63.75, 51, 42.5 \}_precision=_DQ:__f32_.*)", + R"(.*smoke_LPT/EliminateFakeQuantizeTransformation.CompareWithRefImpl/CPU_f32_level=256_shape=\[\]_input_low=\{ 0 \}_input_high=\{ 127.5 \}_output_low=\{ 0 \}_output_high\{ 127.5 \}_precision=f32_level=256_shape=\[\]_input_low=\{ 0 \}_input_high=\{ (127.5|121.429) \}_output_low=\{ 0 \}_output_high\{ (127.5|121.429) \}_precision=f32.*)", + R"(.*smoke_LPT/MatMulWithOptimizedConstantFq.CompareWithRefImpl/f32_\[1,16\]_\[(10|16),(10|16)\]_CPU_level=256_shape=\[1\]_input_low=\{ 0 \}_input_high=\{ 25.5 \}_output_low=\{ 0 \}_output_high\{ 25.5 \}_precision=_level=255_shape=\[1\]_input_low=\{ -12.7 \}_input_high=\{ 12.7 \}_output_low=\{ -12.7 \}_output_high\{ 12.7 \}_precision=.*)", + R"(.*smoke_LPT/FuseDequantizeToFakeQuantizeTransformation.CompareWithRefImpl/CPU_f32_0_undefined_\[\]_f32__\{\}_\{\}__\{ (0.01|0.01, 0.1, 1) \}_undefined_\[\]_0_.*)", + R"(.*smoke_LPT/GroupConvolutionTransformation.CompareWithRefImpl/f32_\[1,6,24,24\]_CPU_f32_4D_\[1,6,24,24\]_\[1,24,18,18\]_3_-1_level=256_shape=\[1,1,1,1\]_input_low=\{ 0 \}_input_high=\{ 25.5 \}_output_low=\{ 0 \}_output_high\{ 25.5 \}_precision=_wo_reshape__255_\[3,8,1,1,1\]_\{ -127 \}_\{ 127 \}.*)", + R"(.*smoke_LPT/GroupConvolutionTransformation.CompareWithRefImpl/f32_\[1,6,24(,24)*\]_CPU_f32_(3D|4D)_\[1,6,24(,24)*\]_\[1,24,18(,18)*\]_3_-1_level=256_shape=\[1,1,1.*\]_input_low=\{ 0 \}_input_high=\{ 25.5 \}_output_low=\{ 0 \}_output_high\{ 25.5 \}_precision=_wo_reshape__255_\[3,8,1,1(,1)*\]_\{ -127, -12.7, -1.27,.*)", + R"(.*smoke_LPT/GroupConvolutionTransformation.CompareWithRefImpl/f32_\[1,6,1,24,24\]_CPU_f32_5D_\[1,6,1,24,24\]_\[1,24,1,18,18\]_3_-1_level=256_shape=\[1,1,1,1,1\]_input_low=\{ -12.8 \}_input_high=\{ 12.7 \}_output_low=\{ -12.8 \}_output_high\{ 12.7 \}_precision=_reshape_on_weights__255_\[1,1,1,1,1\]_\{ -127 \}_\{ 127 \}.*)", + R"(.*smoke_LPT/GroupConvolutionTransformation.CompareWithRefImpl/f32_\[1,24,8,12,12\]_CPU_f32_5D_\[1,24,8,12,12\]_\[1,24,1,1,1\]_3_-1_level=256_shape=\[1,1,1,1,1\]_input_low=\{ -12.8 \}_input_high=\{ 12.7 \}_output_low=\{ -12.8 \}_output_high\{ 12.7 \}_precision=_reshape_on_weights__255_\[1,1,1,1,1\]_\{ -127 \}_\{ 127 \}.*)", + R"(.*smoke_LPT/GroupConvolutionQDqTransformation.CompareWithRefImpl/f32_\[1,6,24,24\]_CPU_f32_level=256_shape=\[1,1,1,1\]_input_low=\{ -12.8 \}_input_high=\{ 12.7 \}_output_low=\{ 0 \}_output_high=\{ 255 \}_precision=f32__u8___f32_.*_undefinedoutput_original_f32_multiplyAfter=(false|true).*)", + R"(.*smoke_LPT/GroupConvolutionQDqTransformation.CompareWithRefImpl/f32_\[1,6,24,24\]_CPU_f32_level=256_.*_precision=f32__u8___f32_\{\}__\{ 0.1 \}.*_f32_\[6,2,5,5\]__255_\[1,1,1,1\]_\{ -128 \}_\{ 127 \}__i8.*undefinedoutput_original_u8_multiplyAfter=(false|true).*)", + R"(.*smoke_LPT/MatMulWithConstantTransformation.CompareWithRefImpl/\[(2,3,4|1,1,3,4)\]_f32_CPU_.*_shape=\[1,1,1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ 0, 0, 0 \}_output_high=\{ 255, 25.5, 255 \}_precision=_level=256_shape=\[1\]_input_low=\{ -128 \}_.*)", + R"(.*smoke_LPT/ReduceSumTransformation.CompareWithRefImpl/f32_\[1,3,10,10\]_CPU_f32_level=256_shape=\[1,1,1,1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ 0 \}_output_high\{ 127 \}_precision=_keepDims__reduce_axis_2_3_.*)", #if defined(OPENVINO_ARCH_ARM) // Issue: 126177 R"(.*smoke_CompareWithRefs_4D_Bitwise.*/EltwiseLayerCPUTest.*_eltwise_op_type=Bitwise.*_model_type=i32_.*)" @@ -299,7 +329,17 @@ std::vector disabledTestPatterns() { retVector.emplace_back(R"(smoke_LPT.*)"); retVector.emplace_back(R"(smoke_Snippets.*)"); #endif - +#if defined(_WIN32) + retVector.emplace_back(R"(.*smoke_QuantizedConvolutionBatchNormTransposeOnWeights/QuantizedConvolutionBatchNorm.CompareWithRefs/conv_type=convolution_quantize_type=fake_quantize_intervals_type=per_(tensor|channel)_transpose_on_weights=true_device=CPU.*)"); + retVector.emplace_back(R"(.*smoke_LPT/ConvolutionTransformation.CompareWithRefImpl/f32_\[(1|4),3,16,16\]_CPU_f32_rank=4D_fq_on_data=\{level=256_shape=\[1,1,1,1\]_input_low=\{ 0 \}_input_high=\{ 255 \}_output_low=\{ -12.7 \}_output_high\{ 12.8 \}_precision=\}_fq_on_weights=\{_255_\[1,1,1,1\]_\{ -12.7 \}_\{ 12.7 \}\}.*)"); + retVector.emplace_back(R"(.*smoke_LPT/FuseDequantizeToFakeQuantizeTransformation.CompareWithRefImpl/CPU_f32_0_undefined_\[\]_f32__\{\}_\{\}__\{ 0.01, 0.1, 1 \}_f32_\[1,3\]_1_1_undefined_f32_level=256_shape=\[\]_input_low=\{ 0 \}_input_high=\{ 2.55 \}_output_low=\{ 0 \}_output_high=\{ 2.55 \}_precision=.*)"); + retVector.emplace_back(R"(.*smoke_QuantizedConvolutionBatchNorm/QuantizedConvolutionBatchNorm.CompareWithRefs/conv_type=convolution_quantize_.*)"); + retVector.emplace_back(R"(.*smoke_QuantizedConvolutionBatchNorm/QuantizedConvolutionBatchNorm.CompareWithRefs/conv_type=convolution_backprop_quantize_type=(quantize_dequantize_intervals|compressed_weights_intervals).*)"); + retVector.emplace_back(R"(.*smoke_FQLayerDQBias_4D_static/FQLayerDQBias.smoke_CompareWithRefs/IS=\(\[\]\)_TS=\(\(1.3.64.64\)_\)_layer_type=MatMul.*)"); + retVector.emplace_back(R"(.*smoke_FQLayerDQBias_4D_dynamic/FQLayerDQBias.smoke_CompareWithRefs/IS=\(\[?.3.?.?\]\)_TS=\(\(1.3.64.64\)_\)_layer_type=MatMul.*)"); + retVector.emplace_back(R"(.*smoke_LPT/MatMulTransformation.CompareWithRefImpl/f32_CPU_\[(1|8|1,1,1),4,12,2\]_level=256_shape=\[\]_input_low=\{ (0|-12.8) \}_input_high=\{ (25.5|12.7) \}_output_low=\{ (0|-12.8) \}_output_high\{ (25.5|12.7) \}_.*)"); + retVector.emplace_back(R"(.*smoke_LPT/MatMulTransformation.CompareWithRefImpl/f32_CPU_\[(1|8|1,1,1),4,12,2\]_level=256_shape=\[\]_input_low=\{ (0|-12.8) \}_input_high=\{ (25.5|12.7) \}_output_low=\{ (0|-12.8) \}_output_high\{ (25.5|12.7) \}_.*)"); +#endif if (!ov::with_cpu_x86_avx512_core()) { // on platforms which do not support bfloat16, we are disabling bf16 tests since there are no bf16 primitives, // tests are useless on such platforms diff --git a/src/plugins/intel_gpu/tests/functional/shared_tests_instances/skip_tests_config.cpp b/src/plugins/intel_gpu/tests/functional/shared_tests_instances/skip_tests_config.cpp index 27764e3070e976..f879af01b7e5ea 100644 --- a/src/plugins/intel_gpu/tests/functional/shared_tests_instances/skip_tests_config.cpp +++ b/src/plugins/intel_gpu/tests/functional/shared_tests_instances/skip_tests_config.cpp @@ -85,5 +85,48 @@ std::vector disabledTestPatterns() { R"(smoke_MemoryTestV3.*)", // Issue: 129991 R"(.*StridedSliceLayerTest.*TS=.*2.2.4.1*.*)", + // Issue: CVS-133173 + R"(.*smoke_LPT/BatchToSpaceTransformation.CompareWithRefImpl/f16_GPU_[4,3,50,86]_level=256_shape=[1,1,1,1]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=.*)", + R"(.*smoke_LPT/BatchToSpaceTransformation.CompareWithRefImpl/(f32|f16)_GPU_[4,3,50,86]_level=256_shape=[1,3,1,1]_input_low={ 0, 0, 0 }_input_high={ 255, 127.5, 85 }_output_low={ 0, 0, 0 }_output_high{ 255, 127.5, 85 }_precision=.*)", + R"(.*smoke_LPT/ConcatTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision={}level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision={}.*)", + R"(.*smoke_LPT/ConcatWithChildAndOutputTransformation.CompareWithRefImpl/f16_[1,6,10,10]_GPU_f32level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 1.275 }_precision=.*)", + R"(.*smoke_LPT/ConcatWithDifferentChildrenTransformation.CompareWithRefImpl/f16_[1,3,10,10]_GPU_f32_axis_(1|2)_level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 1.275 }_precision=.*)", + R"(.*smoke_LPT/ConcatWithNeighborsGraphTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32.*)", + R"(.*smoke_LPT/ConcatWithIntermediateTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32.*)", + R"(.*smoke_LPT/ConcatWithSplitTransformation.CompareWithRefImpl/f16_[1,6,10,10]_GPU_f32level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=_level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 1.275 }_precision=.*)", + R"(.*smoke_LPT_4D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/f16_[1,(8|32),16,16]_.*_input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 25.5 }_precision=__255_[1,1,1,1]_{ 0 }_{ 25.4 }_{}.*)", + R"(.*smoke_LPT_4D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/f16_[1,(8|32),16,16]__input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 25.5 }_precision=__0_[]_{ }_{ }___f32_{}__{ 4 }_f32_[]_1_1_undefined.*)", + R"(.*smoke_LPT_3D/ConvolutionBackpropDataTransformation.CompareWithRefImpl/(f32|f16)_[1,32,16,16]_GPU_f32_[16]_level=256_shape=[1,1,1]_input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 25.5 }_precision=__0_[]_{ }_{ }___f32_{}__{ 4 }_f32_[]_1_1_undefined.*)", + R"(.*smoke_LPT/FakeQuantizeAndMaxPoolTransformation.CompareWithRefImpl/f16_[1,32,72,48]_GPU_f32.*)", + R"(.*smoke_LPT/FakeQuantizeAndAvgPoolTransformation.CompareWithRefImpl/f16_[1,32,72,48]_GPU_f32.*)", + R"(.*smoke_LPT/FuseConvertTransformation.CompareWithRefImpl/f32_[1,4,16,16]_GPU_f32_.*)", + R"(.*smoke_LPT/FuseFakeQuantizeAndScaleShiftTransformation.CompareWithRefImpl/f16_GPU_level=256_shape=[]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=.*)", + R"(.*smoke_LPT/MVNTransformation.CompareWithRefImpl/f16_[1,4,16,16]_GPU_f32_AxisSet.*)", + R"(.*smoke_LPT/NormalizeL2Transformation.CompareWithRefImpl/f16_[1,4,16,16]_.*)", + R"(.*smoke_LPT/PadTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32_level=256_shape=[1,1,1,1]_.*_(constant|reflect|symmetric|edge)_.*)", + R"(.*smoke_LPT/OutputLayersConcat.CompareWithRefImpl/f32_[1,3,16,16]_GPU_f32.*)", + R"(.*smoke_LPT/ReduceMeanTransformation.CompareWithRefImpl/f16_[1,3,10,10]_GPU_f32_level=256_shape=[1,1,1,1]_input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 127 }_precision={}{}_keepDims__reduce_axis_1_.*)", + R"(.*smoke_LPT/ReduceMeanTransformation.CompareWithRefImpl/f16_[1,3,10,10]_GPU_f32_level=256_shape=[1,1,1,1]_input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 127 }_precision={}{}_reduce_axis_1_.*)", + R"(.*smoke_LPT/ReduceSumTransformation.CompareWithRefImpl/(f32|f16)_[1,3,10,10]_GPU_f32_level=256_shape=[1,1,1,1]_input_low={ 0 }_input_high={ 255 }_output_low={ 0 }_output_high{ 127 }_precision=_keepDims__reduce_axis_2_3_.*)", + R"(.*smoke_LPT/ReduceSumTransformation.CompareWithRefImpl/f16_[1,3,10,10]_GPU_f32_level=256_shape=[1,1,1,1]_input_low={ 2 }_input_high={ 10 }_output_low={ 2 }_output_high{ 10 }_precision=_reduce_axis_2_3_.*)", + R"(.*smoke_LPT/ReluTransformation.CompareWithRefImpl/f16_GPU_level=256_shape=[]_input_low={ 0 }_input_high={ 25.5 }_output_low={ 0 }_output_high{ 25.5 }_precision=.*)", + R"(.*smoke_LPT/ReluTransformation.CompareWithRefImpl/f16_GPU_level=256_shape=[]_input_low={ 12.75 }_input_high={ 25.5 }_output_low={ 12.75 }_output_high{ 25.5 }_precision=.*)", + R"(.*smoke_LPT/SpaceToBatchTransformation.CompareWithRefImpl/(f32|f16)_GPU_[1,3,100,171]_level=256_shape=[1,3,1,1]_input_low={ 0, 0, 0 }_input_high={ 255, 127.5, 85 }_output_low={ 0, 0, 0 }_output_high{ 255, 127.5, 85 }_precision=.*)", + R"(.*smoke_LPT/SpaceToBatchTransformation.CompareWithRefImpl/f16_GPU_[1,3,100,171]_level=256_shape=[1,1,1,1]_input_low={ 0 }_input_high={ 2.55 }_output_low={ 0 }_output_high{ 2.55 }_precision=.*)", + R"(.*smoke_LPT/SplitTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32_level=256_shape=[]_input_low={ 0 }_input_high={ 25.5 }_output_low={ 0 }_output_high{ 12.75 }_precision=_axis=2_n_splits=2.*)", + R"(.*smoke_LPT/StridedSliceTransformation.CompareWithRefImpl/f16_[1,3,24,24]_GPU_f32_.*_precision=_{ 0, 0, 0, 0 }_{ 1, 0, 1, 1 }_{ 1, 2, 1, 1 }_{ 1, 0, 1, 1 }_{ 1, 1, 1, 1 }.*)", + R"(.*smoke_LPT/StridedSliceTransformation.CompareWithRefImpl/f16_[1,3,24,24]_GPU_f32_.*_precision=_{ 0, 0, 0, 0 }_{ 1, 1, 0, 1 }_{ 1, 3, 20, 24 }_{ 1, 1, 0, 1 }_{ 1, 1, 1, 1 }.*)", + R"(.*smoke_LPT/StridedSliceTransformation.CompareWithRefImpl/f16_[1,3,24,24]_GPU_f32_level=256_shape=[1,3,1,1]_.*_precision=_{ 0, 0 }_{ 1, 0 }_{ 1, 2 }_{ 1, 0 }_{ 1, 1 }.*)", + R"(.*smoke_LPT/SubtractTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32.*)", + R"(.*smoke_LPT/TransposeAfterMatMulTransformation.CompareWithRefImpl/f16_GPU_f32_(perTensor|perChannel)_(not)*transposeChannelDim.*)", + R"(.*smoke_LPT/VariadicSplitTransformation.CompareWithRefImpl/f16_[1,3,16,16]_GPU_f32_level=256_shape=[]_input_low={ 0 }_input_high={ 25.5 }_output_low={ 0 }_output_high{ 12.75 }_precision=_axis=2_splitLengths={ 9, 7 }.*)", + R"(.*smoke_ConvolutionBackpropData2D_ExplicitPadding/ConvolutionBackpropDataLayerTest.Inference/IS=([])_TS={(1.32.10.10|1.16.10.10|1.3.30.30)}_OS=()_K(1.1)_S(1.3)_PB(0.0)_PE((0.0|1.1))_D=(1.1)_OP=()_O=(1|5|16)_AP=explicit_netPRC=f16_trgDev=GPU.*)", + R"(.*smoke_ConvolutionBackpropData2D_AutoPadValid/ConvolutionBackpropDataLayerTest.Inference/IS=([])_TS={((1.32.10.10|1.16.10.10))}_OS=()_K(1.1)_S(1.3)_PB(0.0)_PE(0.0)_D=(1.1)_OP=()_O=(1|5|16)_AP=valid_netPRC=f16_trgDev=GPU.*)", + R"(.*smoke_ConvolutionBackpropData2D_ExplicitPadding_OutputPaddingDefined/ConvolutionBackpropDataLayerTest.Inference/IS=([])_TS={((1.32.10.10|1.16.10.10|1.3.30.30))}_OS=()_K(1.1)_S(3.3)_PB(0.0)_PE(0.0)_D=(1.1)_OP=((1.1|2.2))_O=(1|5|16)_AP=valid_netPRC=f16_trgDev=GPU.*)", + R"(.*smoke_ConvolutionBackpropData2D_AutoPadding_OutputPaddingDefined/ConvolutionBackpropDataLayerTest.Inference/IS=([])_TS={((1.32.10.10|1.16.10.10|1.3.30.30))}_OS=()_K(1.1)_S(3.3)_PB(0.0)_PE((0.0|1.1))_D=(1.1)_OP=((1.1|2.2))_O=(1|5|16).*)", + R"(.*smoke_GridSample/GridSampleLayerTest.Inference/DS=(5.2.3.5|5.3.4.6)_GS=(5.7.3.2|5.2.8.2)_align_corners=(0|1)_Mode=(bilinear|bicubic)_padding_mode=zeros_model_type=f16_grid_type=f32_trgDev=GPU.*)", + R"(.*smoke_MatMul_BothTranspose/MatMulLayerTest.Inference/IS=([]_[])_TS={(5)_(5)}_transpose_a=1_transpose_b=1_secondary_input_type=(CONSTANT|PARAMETER)_modelType=(f16|f32)_trgDev=GPUconfig=().*)", + R"(.*smoke_dynamic_conv_reshape_fullyconnected/ConvReshapeFullyConnectedDynamicGPUTestDynamic.Inference/IS=[?.64.1.?.?]_[1.64.1.1.1]_model_type=f16_targetDevice=GPU.*)", + R"(.*smoke_GatherCompressedWeights_basic/GatherWeightsDecompression.Inference/data_shape=[15,32]_indices_shape=[?.?]_[2.3]_group_size=16_data_precision=(u8|i8|u4|i4)_output_precision=f32_decompression_subtract=(0|1)_reshape_on_decompression=(0|1)_per_tensor_zp=(0|1).*)", }; } diff --git a/src/plugins/template/tests/functional/skip_tests_config.cpp b/src/plugins/template/tests/functional/skip_tests_config.cpp index 099b5e9ec1ae50..eac640ebfe40f3 100644 --- a/src/plugins/template/tests/functional/skip_tests_config.cpp +++ b/src/plugins/template/tests/functional/skip_tests_config.cpp @@ -123,8 +123,10 @@ std::vector disabledTestPatterns() { R"(.*ReferenceGroupNormalization.*_f64*)", // Precision not high enough to get exact result for the complex test cases // (both tiny values and very high values necessary) - R"(.*ReferenceInverse.*bf16.*[4,4].*)"}; - + R"(.*ReferenceInverse.*bf16.*[4,4].*)", + R"(.*smoke_CompareWithRefs_static/EltwiseLayerTest.Inference/IS=\(\[\]_\)_TS=.*(4.4.200|1.10.200|10.200|2.200|1.10.100|4.4.16).*_eltwise_op_type=Mod_secondary_input_type=PARAMETER_opType=VECTOR_model_type=f32_InType=undefined_OutType=undefined.*)", + R"(.*smoke_CompareWithRefs_static/EltwiseLayerTest.Inference/IS=.*_TS=\(\(2.17.5.1\)_\(1.17.1.4\)_\)_eltwise_op_type=Mod_secondary_input_type=PARAMETER_opType=VECTOR_model_type=f16_InType=undefined_OutType=undefined_.*)", + R"(.*smoke_CompareWithRefs_static/EltwiseLayerTest.Inference/IS=.*_TS=.*(2.200|10.200|1.10.100|4.4.16|1.2.4|1.4.4|1.4.4.1).*eltwise_op_type=Mod_secondary_input_type=PARAMETER_opType=VECTOR_model_type=f16_InType=undefined_OutType=undefined.*)"}; #ifdef _WIN32 // CVS-63989 retVector.emplace_back(R"(.*ReferenceSigmoidLayerTest.*u64.*)");