377 lines
25 KiB
C++
377 lines
25 KiB
C++
/*
|
|
* Copyright (c) 2017-2020 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/CLTensorAllocator.h"
|
|
#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h"
|
|
#include "arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h"
|
|
#include "tests/CL/CLAccessor.h"
|
|
#include "tests/PaddingCalculator.h"
|
|
#include "tests/datasets/LargeConvolutionLayerDataset.h"
|
|
#include "tests/datasets/SmallConvolutionLayerDataset.h"
|
|
#include "tests/datasets/TinyConvolutionLayerDataset.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/ConvolutionLayerFixture.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
namespace test
|
|
{
|
|
namespace validation
|
|
{
|
|
namespace
|
|
{
|
|
class SmallConvolutionLayerDatasetCases final : public datasets::ConvolutionLayerDataset
|
|
{
|
|
public:
|
|
SmallConvolutionLayerDatasetCases()
|
|
{
|
|
// 1D Kernel
|
|
add_config(TensorShape(1U, 130U, 2000U), TensorShape(1U, 1U, 2000U, 2000U), TensorShape(2000U), TensorShape(1U, 130U, 2000U), PadStrideInfo(1, 1, 0, 0));
|
|
}
|
|
};
|
|
|
|
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 */
|
|
|
|
/** CNN data types */
|
|
const auto CNNDataTypes = framework::dataset::make("DataType",
|
|
{
|
|
DataType::F16,
|
|
DataType::F32,
|
|
DataType::QASYMM8,
|
|
DataType::QASYMM8_SIGNED,
|
|
});
|
|
|
|
/** Grouped CNN data types */
|
|
const auto GroupedCNNDataTypes = framework::dataset::make("DataType",
|
|
{
|
|
DataType::F16,
|
|
DataType::F32
|
|
});
|
|
|
|
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
|
|
{
|
|
ActivationLayerInfo(),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f)
|
|
});
|
|
const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo",
|
|
{
|
|
ActivationLayerInfo(),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f)
|
|
});
|
|
} // namespace
|
|
|
|
TEST_SUITE(CL)
|
|
TEST_SUITE(ConvolutionLayer)
|
|
|
|
// *INDENT-OFF*
|
|
// clang-format off
|
|
DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
|
|
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), // Select WINOGRAD
|
|
TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), // Select WINOGRAD
|
|
TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), // Select GEMM
|
|
TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::QASYMM8_SIGNED), // Select GEMM
|
|
}),
|
|
framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16),
|
|
TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::QASYMM8_SIGNED),
|
|
})),
|
|
framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::QASYMM8_SIGNED),
|
|
})),
|
|
framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1),
|
|
PadStrideInfo(1, 2, 1, 1),
|
|
PadStrideInfo(1, 1, 0, 0),
|
|
PadStrideInfo(1, 1, 0, 0),
|
|
PadStrideInfo(2, 1, 0, 0),
|
|
PadStrideInfo(3, 2, 1, 0),
|
|
PadStrideInfo(1, 1, 2, 2),
|
|
PadStrideInfo(1, 1, 2, 2),
|
|
PadStrideInfo(1, 1, 2, 2),
|
|
})),
|
|
framework::dataset::make("GpuTarget", { GPUTarget::BIFROST,
|
|
GPUTarget::MIDGARD,
|
|
GPUTarget::G71,
|
|
GPUTarget::G71,
|
|
GPUTarget::MIDGARD,
|
|
GPUTarget::BIFROST,
|
|
GPUTarget::BIFROST,
|
|
GPUTarget::BIFROST,
|
|
GPUTarget::BIFROST,
|
|
})),
|
|
framework::dataset::make("Dilation", { Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(1U, 1U),
|
|
Size2D(2U, 1U),
|
|
Size2D(2U, 1U),
|
|
})),
|
|
framework::dataset::make("EnableFastMath", { false, false, false, false, false, false, true, true, true })),
|
|
framework::dataset::make("Expected",{ ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::WINOGRAD,
|
|
ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::WINOGRAD,
|
|
ConvolutionMethod::GEMM,
|
|
ConvolutionMethod::GEMM,
|
|
})),
|
|
input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)
|
|
{
|
|
ConvolutionMethod is_valid = CLConvolutionLayer::get_convolution_method(&input_info.clone()->set_is_resizable(true),
|
|
&weights_info.clone()->set_is_resizable(true),
|
|
&output_info.clone()->set_is_resizable(true), conv_info,
|
|
WeightsInfo(),
|
|
ActivationLayerInfo(),
|
|
gpu_target,
|
|
dilation,
|
|
enable_fast_math);
|
|
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
|
|
}
|
|
// clang-format on
|
|
// *INDENT-ON*
|
|
TEST_SUITE_END() // ConvolutionLayer
|
|
|
|
TEST_SUITE(GEMMConvolutionLayer)
|
|
template <typename T>
|
|
using CLGEMMConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;
|
|
|
|
TEST_SUITE(Float)
|
|
TEST_SUITE(FP16)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
|
|
TEST_SUITE(FP32)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType",
|
|
DataType::F32)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f32);
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
TEST_SUITE_END() // Float
|
|
|
|
template <typename T>
|
|
using CLGEMMConvolutionLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;
|
|
template <typename T>
|
|
using CLGEMMConvolutionLayerQuantizedPerChannelFixture = ConvolutionValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T, int8_t>;
|
|
|
|
const auto QuantizedActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
|
|
{
|
|
ActivationLayerInfo(),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)
|
|
});
|
|
const auto QuantizedActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo",
|
|
{
|
|
ActivationLayerInfo(),
|
|
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)
|
|
});
|
|
|
|
TEST_SUITE(Quantized)
|
|
|
|
const auto QuantizationData = framework::dataset::make("QuantizationInfo",
|
|
{
|
|
QuantizationInfo(0.5f, 10),
|
|
QuantizationInfo(0.3f, 3),
|
|
QuantizationInfo(1.1f, 10),
|
|
});
|
|
TEST_SUITE(QASYMM8)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmallCases, CLGEMMConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(combine(combine(SmallConvolutionLayerDatasetCases(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
QuantizationData),
|
|
QuantizedActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
QuantizationData),
|
|
QuantizedActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8
|
|
TEST_SUITE(QASYMM8_SIGNED)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
QuantizationData),
|
|
QuantizedActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8_SIGNED
|
|
TEST_SUITE(QSYMM8_PER_CHANNEL)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLGEMMConvolutionLayerQuantizedPerChannelFixture<int8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
QuantizationData),
|
|
QuantizedActivationFunctionsSmallDataset),
|
|
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", { DataType::QASYMM8 })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
QuantizationData),
|
|
QuantizedActivationFunctionsSmallDataset),
|
|
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // QSYMM8_PER_CHANNEL
|
|
TEST_SUITE_END() // Quantized
|
|
|
|
TEST_SUITE_END() // GEMMConvolutionLayer
|
|
|
|
template <typename T>
|
|
using CLGEMMGroupedConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;
|
|
|
|
TEST_SUITE(GroupedGEMMConvolutionLayer)
|
|
|
|
TEST_SUITE(Float)
|
|
TEST_SUITE(FP32)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::F32)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::F32)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
|
|
TEST_SUITE(FP16)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMGroupedConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsSmallDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMGroupedConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(datasets::LargeGroupedConvolutionLayerDataset(),
|
|
framework::dataset::make("ReshapeWeights", { true })),
|
|
framework::dataset::make("DataType", DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
// Validate output
|
|
validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num);
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
TEST_SUITE_END() // Float
|
|
|
|
TEST_SUITE_END() // GroupedGEMMConvolutionLayer
|
|
TEST_SUITE_END() // CL
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|