diff options
Diffstat (limited to 'tests')
-rw-r--r-- | tests/datasets/WinogradInputTransformDataset.h | 42 | ||||
-rw-r--r-- | tests/validation/CL/Winograd.cpp | 18 | ||||
-rw-r--r-- | tests/validation/fixtures/WinogradConvolutionLayerFixture.h | 11 |
3 files changed, 53 insertions, 18 deletions
diff --git a/tests/datasets/WinogradInputTransformDataset.h b/tests/datasets/WinogradInputTransformDataset.h index 59fb2adbd6..e365f9657f 100644 --- a/tests/datasets/WinogradInputTransformDataset.h +++ b/tests/datasets/WinogradInputTransformDataset.h @@ -97,12 +97,11 @@ private: std::vector<WinogradInfo> _infos{}; }; -class SmallWinogradInputTransformDataset final : public WinogradInputTransformDataset +class SmallWinogradInputTransformDataset2x2_3x3 final : public WinogradInputTransformDataset { public: - SmallWinogradInputTransformDataset() + SmallWinogradInputTransformDataset2x2_3x3() { - // (2x2, 3x3) add_config(TensorShape(9U, 9U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(9U, 9U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(27U, 13U, 2U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(27U, 13U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 1U, 3U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(128U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); @@ -110,8 +109,14 @@ public: add_config(TensorShape(27U, 13U, 2U, 4U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(27U, 13U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(9U, 9U, 3U, 5U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(9U, 9U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(14U, 14U, 512U, 2U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); + } +}; - // (4x4, 3x3) +class SmallWinogradInputTransformDataset4x4_3x3 final : public WinogradInputTransformDataset +{ +public: + SmallWinogradInputTransformDataset4x4_3x3() + { add_config(TensorShape(9U, 9U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(9U, 9U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(27U, 13U, 2U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(27U, 13U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 1U, 3U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(128U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); @@ -119,8 +124,14 @@ public: add_config(TensorShape(27U, 13U, 2U, 4U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(27U, 13U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(9U, 9U, 3U, 5U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(9U, 9U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(14U, 14U, 512U, 2U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); + } +}; - // (4x4, 5x5) +class SmallWinogradInputTransformDataset4x4_5x5 final : public WinogradInputTransformDataset +{ +public: + SmallWinogradInputTransformDataset4x4_5x5() + { add_config(TensorShape(9U, 9U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(9U, 9U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(27U, 13U, 2U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(27U, 13U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 1U, 3U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(128U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); @@ -131,24 +142,35 @@ public: } }; -class LargeWinogradInputTransformDataset final : public WinogradInputTransformDataset +class LargeWinogradInputTransformDataset2x2_3x3 final : public WinogradInputTransformDataset { public: - LargeWinogradInputTransformDataset() + LargeWinogradInputTransformDataset2x2_3x3() { - // (2x2, 3x3) add_config(TensorShape(42U, 37U, 8U, 15U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(42U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(57U, 60U, 13U, 8U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(57U, 60U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 21U, 13U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(128U, 64U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(83U, 72U, 14U, 5U), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(83U, 72U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); + } +}; - // (4x4, 3x3) +class LargeWinogradInputTransformDataset4x4_3x3 final : public WinogradInputTransformDataset +{ +public: + LargeWinogradInputTransformDataset4x4_3x3() + { add_config(TensorShape(42U, 37U, 8U, 15U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(42U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(57U, 60U, 13U, 8U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(57U, 60U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 21U, 13U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(128U, 64U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); add_config(TensorShape(83U, 72U, 14U, 5U), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(83U, 72U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); + } +}; - // (4x4, 5x5) +class LargeWinogradInputTransformDataset4x4_5x5 final : public WinogradInputTransformDataset +{ +public: + LargeWinogradInputTransformDataset4x4_5x5() + { add_config(TensorShape(42U, 37U, 8U, 15U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(42U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(57U, 60U, 13U, 8U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(57U, 60U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW)); add_config(TensorShape(128U, 64U, 21U, 13U), WinogradInfo(Size2D(4U, 4U), Size2D(5U, 5U), Size2D(128U, 64U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW)); diff --git a/tests/validation/CL/Winograd.cpp b/tests/validation/CL/Winograd.cpp index 4565c2d59d..59fe25db73 100644 --- a/tests/validation/CL/Winograd.cpp +++ b/tests/validation/CL/Winograd.cpp @@ -53,6 +53,10 @@ namespace { constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); constexpr AbsoluteTolerance<float> tolerance_convolution_layer_f32(0.1f); +const auto SmallWinogradInputTransformDataset = framework::dataset::concat(datasets::SmallWinogradInputTransformDataset2x2_3x3(), + framework::dataset::concat(datasets::SmallWinogradInputTransformDataset4x4_3x3(), datasets::SmallWinogradInputTransformDataset4x4_5x5())); +const auto LargeWinogradInputTransformDataset = framework::dataset::concat(datasets::LargeWinogradInputTransformDataset2x2_3x3(), + framework::dataset::concat(datasets::LargeWinogradInputTransformDataset4x4_3x3(), datasets::LargeWinogradInputTransformDataset4x4_5x5())); } // namespace using namespace arm_compute::misc::shape_calculator; @@ -102,7 +106,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( using CLWinogradInputTransformFixture = WinogradInputTransformValidationFixture<CLTensor, CLAccessor, CLWinogradInputTransform, float>; -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallWinogradInputTransformDataset(), datasets::LargeWinogradInputTransformDataset()), +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(SmallWinogradInputTransformDataset, LargeWinogradInputTransformDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW })), framework::dataset::make("DataType", { DataType::F32 })), shape_in, winograd_info, data_layout, data_type) @@ -123,15 +127,19 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(frame winograd_input_transform.configure(&in, &out, winograd_info); } -FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallWinogradInputTransformDataset(), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), +FIXTURE_DATA_TEST_CASE(RunSmall, CLWinogradInputTransformFixture, framework::DatasetMode::PRECOMMIT, combine(framework::dataset::concat(combine(SmallWinogradInputTransformDataset, + framework::dataset::make("DataLayout", { DataLayout::NCHW })), + combine(datasets::SmallWinogradInputTransformDataset4x4_3x3(), + framework::dataset::make("DataLayout", { DataLayout::NHWC }))), framework::dataset::make("DataType", { DataType::F32 }))) { validate(CLAccessor(_target), _reference, tolerance_f32); } -FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeWinogradInputTransformDataset(), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), +FIXTURE_DATA_TEST_CASE(RunLarge, CLWinogradInputTransformFixture, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(combine(LargeWinogradInputTransformDataset, + framework::dataset::make("DataLayout", { DataLayout::NCHW })), + combine(datasets::LargeWinogradInputTransformDataset4x4_3x3(), + framework::dataset::make("DataLayout", { DataLayout::NHWC }))), framework::dataset::make("DataType", { DataType::F32 }))) { validate(CLAccessor(_target), _reference, tolerance_f32); diff --git a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h index f40f3d2e43..07795c2361 100644 --- a/tests/validation/fixtures/WinogradConvolutionLayerFixture.h +++ b/tests/validation/fixtures/WinogradConvolutionLayerFixture.h @@ -314,10 +314,15 @@ protected: } } - TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, const WinogradInfo &winograd_info, DataLayout data_layout, DataType data_type) + TensorType compute_target(TensorShape input_shape, const TensorShape &output_shape, const WinogradInfo &winograd_info, DataLayout data_layout, DataType data_type) { + if(data_layout == DataLayout::NHWC) + { + permute(input_shape, PermutationVector(2U, 0U, 1U)); + } + TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, 0, QuantizationInfo(), data_layout); - TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo(), data_layout); + TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, 0, QuantizationInfo()); // Create and configure function FunctionType transf; @@ -345,7 +350,7 @@ protected: SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, const WinogradInfo &winograd_info, DataLayout data_layout, DataType data_type) { // Create reference - SimpleTensor<T> src{ input_shape, data_type, 1, 0, QuantizationInfo(), data_layout }; + SimpleTensor<T> src{ input_shape, data_type, 1, 0, QuantizationInfo() }; // Fill reference fill(src, 0, -1.f, 1.f); |