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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-03-26 17:23:28 +0000 |
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committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-04-11 09:34:26 +0000 |
commit | 8be9148814b88e5b0cabd5a4d2b1f4ff470a8c1c (patch) | |
tree | 760658b8c7b8917379467bd3fc119a5502faa850 /tests/validation/CL | |
parent | a50e702289af66944e860eafc7f3b32f6c5f30be (diff) | |
download | ComputeLibrary-8be9148814b88e5b0cabd5a4d2b1f4ff470a8c1c.tar.gz |
COMPMID-1959: Implements 2D FFT on OpenCL
Change-Id: I73cf3984a5463acc854c8a59dc2bd9a5234cd99c
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/936
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'tests/validation/CL')
-rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 2 | ||||
-rw-r--r-- | tests/validation/CL/FFT.cpp | 119 | ||||
-rw-r--r-- | tests/validation/CL/ReductionOperation.cpp | 2 |
3 files changed, 113 insertions, 10 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index 41d2b7bb5e..f1f9b59330 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -46,7 +46,7 @@ namespace validation namespace { constexpr AbsoluteTolerance<float> absolute_tolerance_float(0.0001f); /**< Absolute Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -RelativeTolerance<float> tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<float> tolerance_f32(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr AbsoluteTolerance<float> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ constexpr float tolerance_num = 0.07f; /**< Tolerance number */ diff --git a/tests/validation/CL/FFT.cpp b/tests/validation/CL/FFT.cpp index 0d29532c29..9fdd85b604 100644 --- a/tests/validation/CL/FFT.cpp +++ b/tests/validation/CL/FFT.cpp @@ -24,7 +24,10 @@ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/functions/CLFFT1D.h" +#include "arm_compute/runtime/CL/functions/CLFFT2D.h" +#include "arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h" #include "tests/CL/CLAccessor.h" +#include "tests/datasets/SmallConvolutionLayerDataset.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" @@ -40,7 +43,7 @@ namespace validation namespace { const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); -const auto shapes = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 2U, 3U), +const auto shapes_1d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 2U, 3U), TensorShape(4U, 2U, 3U), TensorShape(5U, 2U, 3U), TensorShape(7U, 2U, 3U), TensorShape(8U, 2U, 3U), TensorShape(9U, 2U, 3U), TensorShape(25U, 2U, 3U), @@ -48,11 +51,27 @@ const auto shapes = framework::dataset::make("TensorShape", { TensorShape(2U TensorShape(16U, 2U, 3U), TensorShape(32U, 2U, 3U), TensorShape(96U, 2U, 2U) }); +const auto shapes_2d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 6U, 3U), + TensorShape(4U, 5U, 3U), TensorShape(5U, 7U, 3U), + TensorShape(7U, 25U, 3U), TensorShape(8U, 2U, 3U), + TensorShape(9U, 16U, 3U), TensorShape(25U, 32U, 3U), + TensorShape(192U, 128U, 2U) + }); + +const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo", +{ + ActivationLayerInfo(), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f) +}); + +RelativeTolerance<float> tolerance_f32(0.1f); /**< Relative tolerance value for FP32 */ +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ + } // namespace TEST_SUITE(CL) TEST_SUITE(FFT1D) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes, data_types), +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_1d, data_types), shape, data_type) { // Create tensors @@ -81,19 +100,19 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes, data_ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching data types TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching shapes - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid channels + TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), // Invalid channels TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Unsupported axis TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16), TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32), - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32), })), - framework::dataset::make("Axis", { 0, 0, 0, 1, 0, 0 })), + framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })), framework::dataset::make("Expected", { false, false, false, false, false, true })), input_info, output_info, axis, expected) { @@ -106,19 +125,103 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( // *INDENT-ON* template <typename T> -using CLFFT1DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT1D, T>; +using CLFFT1DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT1D, FFT1DInfo, T>; TEST_SUITE(Float) TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes, framework::dataset::make("DataType", DataType::F32))) +FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F32))) { // Validate output - validate(CLAccessor(_target), _reference, RelativeTolerance<float>(0.1f), 0.05f); + validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num); } TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float TEST_SUITE_END() // FFT1D + +TEST_SUITE(FFT2D) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(shapes_2d, data_types), + shape, data_type) +{ + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, data_type, 2); + CLTensor dst = create_tensor<CLTensor>(shape, data_type, 2); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + CLFFT2D fft2d; + fft2d.configure(&src, &dst, FFT2DInfo()); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + validate(src.info()->padding(), PaddingSize()); + validate(dst.info()->padding(), PaddingSize()); +} + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching data types + TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching shapes + TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), // Invalid channels + TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT + TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16), + TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32), + TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), + TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), + })), + framework::dataset::make("Expected", { false, false, false, false, true })), + input_info, output_info, expected) +{ + const Status s = CLFFT2D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), FFT2DInfo()); + ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using CLFFT2DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT2D, FFT2DInfo, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT2DFixture<float>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // FFT2D + +TEST_SUITE(FFTConvolutionLayer) + +template <typename T> +using CLFFTConvolutionLayerFixture = FFTConvolutionValidationFixture<CLTensor, CLAccessor, CLFFTConvolutionLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLFFTConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // FFTConvolutionLayer + TEST_SUITE_END() // CL } // namespace validation } // namespace test diff --git a/tests/validation/CL/ReductionOperation.cpp b/tests/validation/CL/ReductionOperation.cpp index c8474e97e6..79308c8229 100644 --- a/tests/validation/CL/ReductionOperation.cpp +++ b/tests/validation/CL/ReductionOperation.cpp @@ -63,7 +63,7 @@ TEST_SUITE(ReductionOperation) // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output - TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1 + TensorInfo(TensorShape(128U, 64U), 3, DataType::F32), // Number of Input channels != 1 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != QASYMM8/F16/F32 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), // Axis == 0 and SUM_SQUARE and QASYMM8 |