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435 lines
33 KiB
435 lines
33 KiB
/*
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* Copyright (c) 2022-2023 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuDepthwiseConv2d.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/datasets/DepthwiseConvolutionLayerDataset.h"
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#include "tests/datasets/DilatedDepthwiseConvolutionLayerDataset.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/DepthwiseConv2dFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1U, 4U });
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const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
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TEST_SUITE(CL)
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TEST_SUITE(DYNAMIC_FUSION)
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TEST_SUITE(DEPTHWISE_CONV2D)
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RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
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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 */
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constexpr float tolerance_num = 0.02f; /**< Tolerance number */
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( // Explanations of failing tests
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type input/weights
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TensorInfo(TensorShape(3U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching input feature maps
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TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching depth multiplier
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TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases size
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TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid biases dimensions
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TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // dilation < 1
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TensorInfo(TensorShape(8U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM16, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::QASYMM16, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U8, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S8, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U16, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S16, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::U32, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(8U, 32U, 13U), 1, DataType::S32, DataLayout::NHWC), // Unsupported data type
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TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout
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TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC), // weight dimension > 3
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TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(8U, 32U, 13U, 4U), 1, DataType::F32, DataLayout::NHWC),
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}),
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framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F16, DataLayout::NHWC),
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TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(16U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM8_SIGNED, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM16, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QSYMM8_PER_CHANNEL, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::QASYMM16, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U8, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S8, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U16, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S16, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::U32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::F32, DataLayout::NCHW),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U, 5U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U, 4U, 3U), 1, DataType::F32, DataLayout::NHWC),
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})),
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framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(4U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(16U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::S32, DataLayout::NCHW),
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TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
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TensorInfo(TensorShape(24U), 1, DataType::F32, DataLayout::NHWC),
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})),
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framework::dataset::make("Padding", { Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(0, 0, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(1, 1, 0, 0),
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Padding2D(2, 1, 2, 1),
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Padding2D(2, 1, 2, 1),
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Padding2D(2, 1, 2, 1),
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})),
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framework::dataset::make("Stride", { Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(1, 1),
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Size2D(2, 3),
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Size2D(2, 3),
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})),
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framework::dataset::make("DepthMultiplier", { 1,
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1,
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3,
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1,
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1,
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2,
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2,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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3,
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})),
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framework::dataset::make("Dilation", { Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(0U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(2U, 3U),
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})),
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framework::dataset::make("Expected", { false, false, false, false, false, false, true, false,
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false, false, false, false, false, false, false, false, false, false,
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false, false, true, false, true, true, true })),
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input_info, weights_info, biases_info, padding, stride, depth_multiplier, dilation, expected)
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{
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CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
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GpuWorkloadContext gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
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GpuWorkloadSketch sketch{ &gpu_ctx };
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const TensorInfo sketch_input_info = sketch.create_tensor_info(input_info);
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const TensorInfo sketch_weights_info = sketch.create_tensor_info(weights_info);
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const TensorInfo sketch_biases_info = sketch.create_tensor_info(biases_info);
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DepthwiseConv2dAttributes attributes {};
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attributes.pad(padding)
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.stride(stride)
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.dilation(dilation)
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.depth_multiplier(depth_multiplier);
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const Status status = GpuDepthwiseConv2d::validate_op(sketch, &sketch_input_info, &sketch_weights_info, &sketch_biases_info, attributes);
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const bool res = bool(status);
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ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using DynamicFusionGpuDepthwiseConv2dFixture = DynamicFusionGpuDepthwiseConv2dValidationFixture<CLTensor, CLAccessor, GpuDepthwiseConv2d, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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TEST_SUITE(W3x3)
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::ALL,
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combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", DataLayout::NHWC)))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
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large_depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", DataLayout::NHWC)))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE(Dilation)
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
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large_depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE_END() // Dilation
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TEST_SUITE_END() // W3x3
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TEST_SUITE(Generic)
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
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depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
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large_depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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TEST_SUITE(Dilation)
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
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depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<half>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
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large_depth_multipliers),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataLayout", { DataLayout::NHWC })))
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{
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validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
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}
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TEST_SUITE_END() // Dilation
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TEST_SUITE_END() // Generic
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TEST_SUITE_END() // FP16
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TEST_SUITE(FP32)
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TEST_SUITE(W3x3)
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::ALL,
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combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataLayout", DataLayout::NHWC)))
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{
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validate(CLAccessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
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|
large_depth_multipliers),
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framework::dataset::make("DataType", DataType::F32)),
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|
framework::dataset::make("DataLayout", DataLayout::NHWC)))
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{
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validate(CLAccessor(_target), _reference, tolerance_f32);
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}
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|
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|
TEST_SUITE(Dilation)
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|
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FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::ALL,
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combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::F32)),
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|
framework::dataset::make("DataLayout", DataLayout::NHWC)))
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|
{
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|
validate(CLAccessor(_target), _reference, tolerance_f32);
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|
}
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|
FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::NIGHTLY,
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|
combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::F32)),
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|
framework::dataset::make("DataLayout", DataLayout::NHWC)))
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|
{
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|
validate(CLAccessor(_target), _reference, tolerance_f32);
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|
}
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|
TEST_SUITE_END() // Dilation
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|
TEST_SUITE_END() // W3x3
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|
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|
TEST_SUITE(Generic)
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|
FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::ALL,
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|
combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::F32)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })))
|
|
{
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|
validate(CLAccessor(_target), _reference, tolerance_f32);
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|
}
|
|
|
|
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);
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|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLargeKernelSize, DynamicFusionGpuDepthwiseConv2dFixture<float>, framework::DatasetMode::ALL,
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|
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)
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|
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
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|
TEST_SUITE_END() // Generic
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|
TEST_SUITE_END() // FP32
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|
TEST_SUITE_END() // Float
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|
TEST_SUITE_END() // DEPTHWISE_CONV2D
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|
TEST_SUITE_END() // DYNAMIC_FUSION
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|
TEST_SUITE_END() // CL
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|
} // namespace validation
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|
} // namespace test
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|
} // namespace arm_compute
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