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/*
* Copyright (c) 2019-2020 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/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/Helper.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.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 namespace arm_compute::misc::shape_calculator;
// Create function for CLDepthwiseConvolutionLayerNativeKernel
using CLDepthwiseConvolutionLayerNative = CLSynthetizeFunction<CLDepthwiseConvolutionLayerNativeKernel>;
// Fixture for CLDepthwiseConvolutionLayerNative
template <typename T>
using CLDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeConfigurableValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayerNative, T>;
namespace
{
// *INDENT-OFF*
// clang-format off
RelativeTolerance<float> rel_tolerance_f32(0.001f);
constexpr float abs_tolerance_f32(0.0001f);
RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.01f));
constexpr float abs_tolerance_f16(0.03f);
/** Width values to test - Precommit */
const auto width_values_precommit = framework::dataset::make("width", { 37U } );
/** Width values to test - Nightly */
const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } );
/** Height values to test - Precommit */
const auto height_values_precommit = framework::dataset::make("height", { 19U } );
/** Height values to test - Nightly */
const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } );
/** Channel values to test - Precommit */
const auto channel_values_precommit = framework::dataset::make("channels", { 15U });
/** Channel values to test - Nightly */
const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U });
/** Batch values to test - Precommit */
const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U });
/** Batch values to test - Nightly */
const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U });
/** Kernel size values to test - Precommit */
const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U), Size2D(5U, 5U) });
/** Kernel size values to test - Nightly */
const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) });
/** Depth multiplier values to test - All */
const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", {3U});
/** Dilation values to test - All */
const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) });
/** Stride values to test - All */
const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) });
/** Padding values to test - All */
const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false });
/** Data type values to test - All */
const auto data_type_values = framework::dataset::make("data_type", { DataType::F32, DataType::F16 });
/** Data layout values to test - All */
const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC });
/** N0 values to test - Precommit */
const auto n0_values_precommit = framework::dataset::make("N0", {2, 4});
/** N0 values to test - Nightly */
const auto n0_values_nightly = framework::dataset::make("N0", {3, 8});
/** Activation values to test */
const auto act_values = framework::dataset::make("Activation",
{
ActivationLayerInfo(),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
});
} // namespace
TEST_SUITE(CL)
TEST_SUITE(DepthwiseConvolutionLayerNative)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
framework::dataset::make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F32)),
data_layout_values),
act_values),
n0_values_precommit))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_nightly,
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
kernel_sz_values_nightly),
framework::dataset::make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F32)),
data_layout_values),
act_values),
n0_values_nightly))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
framework::dataset::make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F16)),
data_layout_values),
act_values),
n0_values_precommit))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_nightly,
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
kernel_sz_values_nightly),
framework::dataset::make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F16)),
data_layout_values),
act_values),
n0_values_nightly))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE(DepthMultiplier)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
depth_multiplier_values),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F32)),
data_layout_values),
act_values),
framework::dataset::make("N0", 1)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_nightly,
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
kernel_sz_values_nightly),
depth_multiplier_values),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F32)),
data_layout_values),
act_values),
framework::dataset::make("N0", 1)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
depth_multiplier_values),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F16)),
data_layout_values),
act_values),
framework::dataset::make("N0", 1)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_nightly,
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
kernel_sz_values_nightly),
depth_multiplier_values),
dilation_values),
stride_values),
padding_valid_values),
framework::dataset::make("DataType", DataType::F16)),
data_layout_values),
act_values),
framework::dataset::make("N0", 1)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE_END() // DepthMultiplier
TEST_SUITE_END() // DepthwiseConvolutionLayerNative
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
|
