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/*
* Copyright (c) 2019 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#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"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/FFTFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
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),
TensorShape(49U, 2U, 3U), TensorShape(64U, 2U, 3U),
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_1d, 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
CLFFT1D fft1d;
fft1d.configure(&src, &dst, FFT1DInfo());
// 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(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), 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), 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, 2, 0, 0 })),
framework::dataset::make("Expected", { false, false, false, false, false, true })),
input_info, output_info, axis, expected)
{
FFT1DInfo desc;
desc.axis = axis;
const Status s = CLFFT1D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), desc);
ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename 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_1d, 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() // 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
} // namespace arm_compute
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