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|
/*
* 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/CLDepthwiseConvolutionLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/DepthwiseConvolutionLayerDataset.h"
#include "tests/datasets/DilatedDepthwiseConvolutionLayerDataset.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/DepthwiseConvolutionLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
constexpr float tolerance_num = 0.05f; /**< Tolerance number */
const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5 });
const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
//Activation Functions
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
{
ActivationLayerInfo(),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)
});
} // namespace
TEST_SUITE(CL)
TEST_SUITE(DepthwiseConvolutionLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size
TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // patch size bigger than input width
TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // dilation < 1
TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8),
}),
framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
})),
framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(4U), 1, DataType::F32),
TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(16U), 1, DataType::F32),
TensorInfo(TensorShape(16U), 1, DataType::F32),
TensorInfo(TensorShape(16U), 1, DataType::F32),
TensorInfo(TensorShape(24U), 1, DataType::S32),
})),
framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8),
})),
framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 1, 0),
})),
framework::dataset::make("DepthMultiplier", { 1,
1,
3,
1,
1,
1,
2,
2,
2,
3,
})),
framework::dataset::make("Dilation", { Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(20U, 1U),
Size2D(0U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
})),
framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })),
input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected)
{
bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(true), &weights_info.clone()->set_is_resizable(true), &biases_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), conv_info, depth_multiplier,ActivationLayerInfo(), dilation));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
TEST_SUITE(W3x3)
TEST_SUITE(NCHW)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // NCHW
TEST_SUITE(NHWC)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // NHWC
TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE_END() // FP16
TEST_SUITE(FP32)
TEST_SUITE(W3x3)
TEST_SUITE(NCHW)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NCHW)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // NCHW
TEST_SUITE(NHWC)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // NHWC
TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
template <typename T>
using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
template <typename T>
using CLDepthwiseConvolutionLayerQuantizedPerChannelFixture = DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, int8_t>;
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(1.3f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE(QSYMM8_PER_CHANNEL)
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("SrcDataType", DataType::QASYMM8)),
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(CLAccessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE_END() // QSYMM8_PER_CHANNEL
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // DepthwiseConvolutionLayer
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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