839 lines
64 KiB
C++
839 lines
64 KiB
C++
/*
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* Copyright (c) 2017-2020 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/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/NEON/Accessor.h"
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#include "tests/PaddingCalculator.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/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/DepthwiseConvolutionLayerFixture.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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using namespace arm_compute::misc::shape_calculator;
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namespace
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{
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constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
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constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
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constexpr float tolerance_num = 0.05f; /**< Tolerance number */
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#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5 });
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const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
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//Activation Functions
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const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
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{
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ActivationLayerInfo(),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)
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});
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const auto input_qinfo_dataset = framework::dataset::make("InputQInfo",
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{
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QuantizationInfo(0.3f, 10),
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QuantizationInfo(2.2f, 10),
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});
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(DepthwiseConvolutionLayer)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching data type input/weights
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TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), // Mismatching input feature maps
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Unsupported weights dimensions
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching depth multiplier
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), // Invalid stride
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases size
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases dimensions
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid output size
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // patch size bigger than input width
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // dilation < 1
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
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}),
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framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::QASYMM8),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::S32),
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TensorInfo(TensorShape(4U), 1, DataType::F32),
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TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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})),
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framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(4, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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})),
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framework::dataset::make("DepthMultiplier", { 1,
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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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1,
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1,
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1,
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1,
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1,
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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(1U, 1U),
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Size2D(1U, 1U),
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Size2D(1U, 1U),
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Size2D(25U, 1U),
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Size2D(0U, 1U),
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Size2D(1U, 1U),
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})),
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framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })),
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input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected)
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{
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bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false),
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&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));
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ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
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}
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DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights
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TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size
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TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Patch size bigger than input width
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TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Dilation < 1
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}),
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framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
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})),
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framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(4U), 1, DataType::F32),
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TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(2U), 1, DataType::F32),
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TensorInfo(TensorShape(16U), 1, DataType::F32),
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TensorInfo(TensorShape(16U), 1, DataType::F32),
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})),
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framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
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TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
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})),
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framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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PadStrideInfo(1, 1, 0, 0),
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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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1,
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2,
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2,
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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(1U, 1U),
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Size2D(25U, 1U),
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Size2D(0U, 1U),
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})),
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framework::dataset::make("Expected", { false, false, false, false, false, false, false, false})),
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input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected)
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{
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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));
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ARM_COMPUTE_EXPECT(is_valid == 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 NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(F32)
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TEST_SUITE(Generic)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
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large_depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE(Dilation)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
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large_depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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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(W3x3)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
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large_depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE(Dilation)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
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depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
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large_depth_multipliers),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_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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TEST_SUITE(Optimized)
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FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
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framework::dataset::make("DepthMultiplier", 1)),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
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framework::dataset::make("DepthMultiplier", 1)),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
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ActivationFunctionsDataset))
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{
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
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framework::dataset::make("DepthMultiplier", 1)),
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framework::dataset::make("DataType",
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DataType::F32)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f32);
|
|
}
|
|
TEST_SUITE_END() // Optimized
|
|
TEST_SUITE_END() // F32
|
|
|
|
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
TEST_SUITE(F16)
|
|
TEST_SUITE(Generic)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16, tolerance_num);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(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(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // W3x3
|
|
|
|
TEST_SUITE(Optimized)
|
|
FIXTURE_DATA_TEST_CASE(RunSmallW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunSmallW5x5, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_f16);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLargeW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::F16)),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
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 NEDepthwiseConvolutionLayerQuantizedFixtureOptimized = DepthwiseConvolutionLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
|
|
template <typename T>
|
|
using NEDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
|
|
using NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture = DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, uint8_t, int8_t>;
|
|
|
|
TEST_SUITE(Quantized)
|
|
TEST_SUITE(QASYMM8)
|
|
TEST_SUITE(Generic)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // Generic
|
|
TEST_SUITE(W3x3)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // W3x3
|
|
|
|
TEST_SUITE(Optimized)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<uint8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Optimized
|
|
TEST_SUITE_END() // QASYMM8
|
|
|
|
TEST_SUITE(QASYMM8_SIGNED)
|
|
TEST_SUITE(Generic)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // Generic
|
|
|
|
TEST_SUITE(W3x3)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),
|
|
large_depth_multipliers),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // W3x3
|
|
|
|
TEST_SUITE(Optimized)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixtureOptimized<int8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8_SIGNED)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Optimized
|
|
TEST_SUITE_END() // QASYMM8_SIGNED
|
|
|
|
TEST_SUITE(QSYMM8_PER_CHANNEL)
|
|
TEST_SUITE(Generic)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("InputDataType", DataType::QASYMM8)),
|
|
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
|
|
TEST_SUITE(Dilation)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("InputDataType", DataType::QASYMM8)),
|
|
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),
|
|
depth_multipliers),
|
|
framework::dataset::make("InputDataType", DataType::QASYMM8)),
|
|
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
TEST_SUITE_END() // Dilation
|
|
TEST_SUITE_END() // Generic
|
|
|
|
TEST_SUITE(Optimized)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT,
|
|
combine(combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("InputDataType", DataType::QASYMM8)),
|
|
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
validate(Accessor(_target), _reference, tolerance_qasymm8);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(),
|
|
framework::dataset::make("DepthMultiplier", 1)),
|
|
framework::dataset::make("InputDataType", DataType::QASYMM8)),
|
|
framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)),
|
|
input_qinfo_dataset),
|
|
framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })),
|
|
framework::dataset::make("DataLayout", { DataLayout::NHWC })),
|
|
ActivationFunctionsDataset))
|
|
{
|
|
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
|