blob: e9609b7b72fd8ff664ab9a53175624561b0059bf [file] [log] [blame]
/*
* Copyright (c) 2017-2024 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/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.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
{
using framework::dataset::make;
using namespace arm_compute::misc::shape_calculator;
namespace
{
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(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8_SIGNED */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.02)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
constexpr float tolerance_num = 0.05f; /**< Tolerance number */
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const auto depth_multipliers = make("DepthMultiplier", { 1, 2, 8 });
const auto large_depth_multipliers = make("DepthMultiplier", { 5, 32 });
// Activation Functions
const auto NoActivation = make("ActivationInfo", ActivationLayerInfo());
const auto ActivationFunctionsDataset = make("ActivationInfo",
{
ActivationLayerInfo(),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)
});
const auto ActivationFunctionsDatasetNightly = make("ActivationInfo",
{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f, -0.5f),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQUARE),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SWISH),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::HARD_SWISH),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 2.f, 1.f),
#ifdef __aarch64__
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::GELU),
#endif // __aarch64__
});
const auto ActivationFunctionsQuantizedSmallDataset = make("ActivationInfo",
{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)
});
const auto ActivationFunctionsQuantizedDataset = make("ActivationInfo",
{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f, -0.5f),
});
// This is only used when there is fused activation
const auto input_qinfo_dataset = make("InputQInfo",
{
QuantizationInfo(0.3f, 10),
QuantizationInfo(2.2f, 10),
});
const auto IgnoredQuantizationInfo = make("IgnoredQuantizationInfo", QuantizationInfo());
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(DepthwiseConvolutionLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching data type input/weights
TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), // Mismatching input feature maps
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Unsupported weights dimensions
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching depth multiplier
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), // Invalid stride
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases size
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases dimensions
TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid output size
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // patch size bigger than input width
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // dilation < 1
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
}),
make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
})),
make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::S32),
TensorInfo(TensorShape(4U), 1, DataType::F32),
TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
TensorInfo(TensorShape(2U), 1, DataType::F32),
})),
make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 18U, 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),
})),
make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(1, 1, 0, 0),
PadStrideInfo(4, 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),
})),
make("DepthMultiplier", { 1,
1,
1,
3,
1,
1,
1,
1,
1,
1,
1,
})),
make("Dilation", { Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(25U, 1U),
Size2D(0U, 1U),
Size2D(1U, 1U),
})),
make("Expected", { false, false, false, false, false, false, false, false, false, false, true })),
input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected)
{
bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false),
&weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, ActivationLayerInfo(), dilation));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
}
DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
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
}),
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),
})),
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),
})),
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),
})),
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),
})),
make("DepthMultiplier", { 1,
1,
3,
1,
1,
1,
2,
2,
})),
make("Dilation", { Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(25U, 1U),
Size2D(0U, 1U),
})),
make("Expected", { false, false, false, false, false, false, false, false})),
input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected)
{
bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, ActivationLayerInfo(), dilation));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
template <typename T>
using NEDepthwiseConvolutionLayerMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T, true>;
template <typename T>
using NEDepthwiseConvolutionLayerVariableWeightsFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T, false, false, true>;
TEST_SUITE(Float)
TEST_SUITE(F32)
FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(
make("In", TensorShape(33U, 27U, 11U, 3U)),
make("Weights", Size2D(3U, 4U)),
make("Info", PadStrideInfo(1, 2, 0, 1)),
make("Dilation", Size2D(2U, 2U)),
make("DepthMultiplier", { 5 }),
make("DataType", DataType::F32),
make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }),
ActivationFunctionsDatasetNightly))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
make("DataType", DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, NEDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
make("DepthMultiplier", { 2 })),
make("DataType", DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
make("ActivationInfo", ActivationLayerInfo())))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
make("DataType", DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Optimized)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsSmall3x3, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout3x3, NEDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType", DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
make("ActivationInfo", ActivationLayerInfo())))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsSmall5x5, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsLarge3x3, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F32)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Optimized
TEST_SUITE_END() // F32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(
make("In", TensorShape(33U, 27U, 11U, 3U)),
make("Weights", Size2D(3U, 4U)),
make("Info", PadStrideInfo(1, 2, 0, 1)),
make("Dilation", Size2D(2U, 2U)),
make("DepthMultiplier", { 5 }),
make("DataType", DataType::F16),
make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }),
ActivationFunctionsDatasetNightly))
{
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
make("DataType", DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
make("DataType", DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
template <typename T>
using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Optimized)
FIXTURE_DATA_TEST_CASE_NEW(RunSmallW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallW5x5, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLargeW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("DataType",
DataType::F16)),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // Optimized
TEST_SUITE_END() // FP16
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE_END() // Float
template <typename T>
using NEDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
template <typename T>
using NEDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T, true>;
using NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture = DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, uint8_t, int8_t>;
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(
make("In", TensorShape(33U, 27U, 11U, 3U)),
make("Weights", Size2D(3U, 4U)),
make("Info", PadStrideInfo(1, 2, 0, 1)),
make("Dilation", Size2D(2U, 2U)),
make("DepthMultiplier", { 5 }),
make("DataType", DataType::QASYMM8),
make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }),
make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }),
make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }),
ActivationFunctionsQuantizedDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, NEDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
make("DepthMultiplier", { 2 }),
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers,
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers,
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Optimized)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout3x3, NEDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Optimized
TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
combine(
make("In", TensorShape(33U, 27U, 11U, 3U)),
make("Weights", Size2D(3U, 4U)),
make("Info", PadStrideInfo(1, 2, 0, 1)),
make("Dilation", Size2D(2U, 2U)),
make("DepthMultiplier", { 5 }),
make("DataType", DataType::QASYMM8_SIGNED),
make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }),
make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }),
make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }),
ActivationFunctionsQuantizedDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers,
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Optimized)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8_SIGNED),
input_qinfo_dataset,
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }),
ActivationFunctionsQuantizedSmallDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1),
make("DataType", DataType::QASYMM8_SIGNED),
IgnoredQuantizationInfo,
IgnoredQuantizationInfo,
make("DataLayout", { DataLayout::NCHW }),
NoActivation))
{
validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END() // Optimized
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE(QSYMM8_PER_CHANNEL)
FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY,
combine(
make("In", TensorShape(33U, 27U, 11U, 3U)),
make("Weights", Size2D(3U, 4U)),
make("Info", PadStrideInfo(1, 2, 0, 1)),
make("Dilation", Size2D(2U, 2U)),
make("DepthMultiplier", { 5 }),
make("InputDataType", DataType::QASYMM8),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL),
make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }),
make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }),
make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }),
ActivationFunctionsQuantizedDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
depth_multipliers),
make("InputDataType", DataType::QASYMM8)),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
input_qinfo_dataset),
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
make("InputDataType", DataType::QASYMM8)),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
input_qinfo_dataset),
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
make("InputDataType", DataType::QASYMM8)),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
input_qinfo_dataset),
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE(Optimized)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
combine(combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("InputDataType", DataType::QASYMM8)),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
input_qinfo_dataset),
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
make("DataLayout", { DataLayout::NHWC })),
ActivationFunctionsDataset))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
make("DepthMultiplier", 1)),
make("InputDataType", DataType::QASYMM8)),
make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
input_qinfo_dataset),
make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
make("DataLayout", { DataLayout::NHWC })),
make("ActivationInfo", { ActivationLayerInfo() })))
{
validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // Optimized
TEST_SUITE_END() // QSYMM8_PER_CHANNEL
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // DepthwiseConvLayer
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute