blob: 2f8c639cea726106d7b2ed80ca14e42c003999c1 [file] [log] [blame]
/*
* Copyright (c) 2022-2024 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
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* 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
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuDepthwiseConv2d.h"
#include "tests/CL/CLAccessor.h"
#include "tests/datasets/DepthwiseConvolutionLayerDataset.h"
#include "tests/datasets/DilatedDepthwiseConvolutionLayerDataset.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/framework/Fixture.h"
#include "tests/framework/Macros.h"
#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h"
#include "tests/validation/Validation.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
const auto depth_multipliers = framework::dataset::make("DepthMultiplier", {1U, 4U});
const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", {1, 2, 5, 8});
TEST_SUITE(CL)
TEST_SUITE(DYNAMIC_FUSION)
TEST_SUITE(DEPTHWISE_CONV2D)
RelativeTolerance<float> tolerance_f32(
0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
RelativeTolerance<half_float::half> tolerance_f16(half_float::half(
0.1)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
constexpr float tolerance_num = 0.02f; /**< Tolerance number */
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( // Explanations of failing tests
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type input/weights
TensorInfo(TensorShape(3U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching input feature maps
TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching depth multiplier
TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases size
TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases dimensions
TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // dilation < 1
TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM16, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM16, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U8, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S8, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U16, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S16, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U32, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S32, DataLayout::NHWC), // Unsupported data type
TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), // weight dimension > 3
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
}),
framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F16, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM16, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM16, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U8, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S8, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U16, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S16, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::F32, DataLayout::NCHW),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U, 5U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U, 4U, 3U), 1, DataType::F32, DataLayout::NHWC),
})),
framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(4U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NCHW),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
})),
framework::dataset::make("Padding", { Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(0, 0, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(1, 1, 0, 0),
Padding2D(2, 1, 2, 1),
Padding2D(2, 1, 2, 1),
Padding2D(2, 1, 2, 1),
})),
framework::dataset::make("Stride", { Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(1, 1),
Size2D(2, 3),
Size2D(2, 3),
})),
framework::dataset::make("DepthMultiplier", { 1,
1,
3,
1,
1,
2,
2,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
})),
framework::dataset::make("Dilation", { Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(1U, 1U),
Size2D(0U, 1U),
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(1U, 1U),
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(1U, 1U),
Size2D(2U, 3U),
})),
framework::dataset::make("Expected", { false, false, false, false, false, false, true, false,
false, false, false, false, false, false, false, false, false, false,
false, false, true, false, true, true, true })),
input_info, weights_info, biases_info, padding, stride, depth_multiplier, dilation, expected)
{
CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
GpuWorkloadContext context = GpuWorkloadContext{ &cl_compile_ctx };
GpuWorkloadSketch sketch{ &context };
const ITensorInfo* sketch_input_info = context.create_tensor_info(input_info);
const ITensorInfo* sketch_weights_info = context.create_tensor_info(weights_info);
const ITensorInfo* sketch_biases_info = context.create_tensor_info(biases_info);
DepthwiseConv2dAttributes attributes {};
attributes.pad(padding)
.stride(stride)
.dilation(dilation)
.depth_multiplier(depth_multiplier);
const Status status = GpuDepthwiseConv2d::validate_op(sketch, sketch_input_info, sketch_weights_info, sketch_biases_info, attributes);
const bool res = bool(status);
ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using DynamicFusionGpuDepthwiseConv2dFixture =
DynamicFusionGpuDepthwiseConv2dValidationFixture<CLTensor, CLAccessor, GpuDepthwiseConv2d, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
TEST_SUITE(W3x3)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f16);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
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)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", DataLayout::NHWC)))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // W3x3
TEST_SUITE(Generic)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLargeKernelSize,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset(),
framework::dataset::make("DepthMultiplier", {1})),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE(Dilation)
FIXTURE_DATA_TEST_CASE(RunSmall,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::ALL,
combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
DynamicFusionGpuDepthwiseConv2dFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
large_depth_multipliers),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", {DataLayout::NHWC})))
{
validate(CLAccessor(_target), _reference, tolerance_f32);
}
TEST_SUITE_END() // Dilation
TEST_SUITE_END() // Generic
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
TEST_SUITE_END() // DEPTHWISE_CONV2D
TEST_SUITE_END() // DYNAMIC_FUSION
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute