239 lines
9.3 KiB
C++
239 lines
9.3 KiB
C++
/*
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* Copyright (c) 2019 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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#ifndef ARM_COMPUTE_TEST_FFT_FIXTURE
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#define ARM_COMPUTE_TEST_FFT_FIXTURE
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/FunctionDescriptors.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.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/validation/reference/ActivationLayer.h"
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#include "tests/validation/reference/ConvolutionLayer.h"
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#include "tests/validation/reference/DFT.h"
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#include <random>
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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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template <typename TensorType, typename AccessorType, typename FunctionType, typename InfoType, typename T>
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class FFTValidationFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape shape, DataType data_type)
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{
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_target = compute_target(shape, data_type);
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_reference = compute_reference(shape, data_type);
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ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(_target.info()->tensor_shape(), _reference.shape());
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}
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protected:
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template <typename U>
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void fill(U &&tensor)
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{
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std::uniform_real_distribution<float> distribution(-5.f, 5.f);
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library->fill(tensor, distribution, 0);
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}
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TensorType compute_target(const TensorShape &shape, DataType data_type)
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{
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// Create tensors
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TensorType src = create_tensor<TensorType>(shape, data_type, 2);
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TensorType dst = create_tensor<TensorType>(shape, data_type, 2);
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// Create and configure function
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FunctionType fft;
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fft.configure(&src, &dst, InfoType());
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ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Allocate tensors
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src.allocator()->allocate();
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dst.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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fill(AccessorType(src));
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// Compute function
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fft.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
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{
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// Create reference
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SimpleTensor<T> src{ shape, data_type, 2 };
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// Fill reference
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fill(src);
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if(std::is_same<InfoType, FFT1DInfo>::value)
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{
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return reference::dft_1d(src, reference::FFTDirection::Forward);
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}
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else
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{
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return reference::dft_2d(src, reference::FFTDirection::Forward);
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}
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class FFTConvolutionValidationGenericFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
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DataType data_type, DataLayout data_layout, ActivationLayerInfo act_info)
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{
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_data_type = data_type;
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_data_layout = data_layout;
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_target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, dilation, act_info);
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_reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, dilation, act_info);
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}
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protected:
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template <typename U>
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void fill(U &&tensor, int i)
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{
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switch(tensor.data_type())
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{
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case DataType::F32:
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{
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std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
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library->fill(tensor, distribution, i);
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break;
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}
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default:
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library->fill_tensor_uniform(tensor, i);
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}
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}
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TensorType compute_target(TensorShape input_shape, TensorShape weights_shape, const TensorShape &bias_shape, TensorShape output_shape, const PadStrideInfo &info,
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const Size2D &dilation, const ActivationLayerInfo act_info)
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{
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ARM_COMPUTE_UNUSED(dilation);
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ARM_COMPUTE_ERROR_ON((input_shape[2] % weights_shape[2]) != 0);
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if(_data_layout == DataLayout::NHWC)
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{
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permute(input_shape, PermutationVector(2U, 0U, 1U));
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permute(weights_shape, PermutationVector(2U, 0U, 1U));
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permute(output_shape, PermutationVector(2U, 0U, 1U));
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}
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// Create tensors
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TensorType src = create_tensor<TensorType>(input_shape, _data_type, 1, QuantizationInfo(), _data_layout);
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TensorType weights = create_tensor<TensorType>(weights_shape, _data_type, 1, QuantizationInfo(), _data_layout);
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TensorType bias = create_tensor<TensorType>(bias_shape, _data_type, 1, QuantizationInfo(), _data_layout);
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TensorType dst = create_tensor<TensorType>(output_shape, _data_type, 1, QuantizationInfo(), _data_layout);
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// Create and configure function
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FunctionType conv;
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conv.configure(&src, &weights, &bias, &dst, info, act_info);
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ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Allocate tensors
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src.allocator()->allocate();
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weights.allocator()->allocate();
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bias.allocator()->allocate();
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dst.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!weights.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!bias.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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fill(AccessorType(src), 0);
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fill(AccessorType(weights), 1);
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fill(AccessorType(bias), 2);
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// Compute convolution function
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conv.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, const PadStrideInfo &info,
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const Size2D &dilation, const ActivationLayerInfo act_info)
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{
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ARM_COMPUTE_ERROR_ON((input_shape[2] % weights_shape[2]) != 0);
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// Create reference
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SimpleTensor<T> src{ input_shape, _data_type, 1 };
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SimpleTensor<T> weights{ weights_shape, _data_type, 1 };
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SimpleTensor<T> bias{ bias_shape, _data_type, 1 };
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// Fill reference
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fill(src, 0);
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fill(weights, 1);
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fill(bias, 2);
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return (act_info.enabled()) ? reference::activation_layer<T>(reference::convolution_layer<T>(src, weights, bias, output_shape, info, dilation), act_info) : reference::convolution_layer<T>(src,
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weights, bias, output_shape, info, dilation);
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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DataType _data_type{};
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DataLayout _data_layout{};
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class FFTConvolutionValidationFixture : public FFTConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
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{
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public:
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template <typename...>
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void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, Size2D dilation,
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DataType data_type, DataLayout data_layout, ActivationLayerInfo act_info)
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{
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FFTConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, dilation,
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data_type, data_layout, act_info);
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}
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_FFT_FIXTURE */
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