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Diffstat (limited to 'src/runtime/CL/functions/CLConvolution.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLConvolution.cpp | 139 |
1 files changed, 0 insertions, 139 deletions
diff --git a/src/runtime/CL/functions/CLConvolution.cpp b/src/runtime/CL/functions/CLConvolution.cpp deleted file mode 100644 index 2b0d7d5e53..0000000000 --- a/src/runtime/CL/functions/CLConvolution.cpp +++ /dev/null @@ -1,139 +0,0 @@ -/* - * Copyright (c) 2016-2020 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "arm_compute/runtime/CL/functions/CLConvolution.h" - -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/CL/kernels/CLConvolutionKernel.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/PixelValue.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/CL/CLScheduler.h" -#include "arm_compute/runtime/ITensorAllocator.h" -#include "support/MemorySupport.h" - -#include <utility> - -using namespace arm_compute; - -void CLConvolution3x3::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, conv, scale, border_mode, constant_border_value); -} - -void CLConvolution3x3::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, - uint8_t constant_border_value) -{ - auto k = arm_compute::support::cpp14::make_unique<CLConvolution3x3Kernel>(); - k->configure(compile_context, input, output, conv, scale, border_mode == BorderMode::UNDEFINED); - _kernel = std::move(k); - _border_handler.configure(compile_context, input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); -} - -template <unsigned int matrix_size> -CLConvolutionSquare<matrix_size>::CLConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler() -{ -} - -template <unsigned int matrix_size> -void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, - uint8_t constant_border_value) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, conv, scale, border_mode, constant_border_value); -} - -template <unsigned int matrix_size> -void CLConvolutionSquare<matrix_size>::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, - uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); - ARM_COMPUTE_ERROR_ON(conv == nullptr); - std::array<int16_t, matrix_size> conv_col{ 0 }; - std::array<int16_t, matrix_size> conv_row{ 0 }; - _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size); - - if(_is_separable) - { - std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size); - _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, type_pair.first)); - - // Manage intermediate buffers - _memory_group.manage(&_tmp); - - if(scale == 0) - { - scale = calculate_matrix_scale(conv, matrix_size); - } - - _kernel_hor.configure(compile_context, input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED); - _kernel_vert.configure(compile_context, &_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED, type_pair.second); - _border_handler.configure(compile_context, input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value)); - - // Allocate intermediate buffer - _tmp.allocator()->allocate(); - } - else - { - _kernel.configure(compile_context, input, output, conv, scale, border_mode == BorderMode::UNDEFINED); - _border_handler.configure(compile_context, input, _kernel.border_size(), border_mode, PixelValue(constant_border_value)); - } -} - -template <unsigned int matrix_size> -void CLConvolutionSquare<matrix_size>::run() -{ - CLScheduler::get().enqueue(_border_handler); - - if(_is_separable) - { - MemoryGroupResourceScope scope_mg(_memory_group); - - CLScheduler::get().enqueue(_kernel_hor, false); - CLScheduler::get().enqueue(_kernel_vert); - } - else - { - CLScheduler::get().enqueue(_kernel); - } -} - -template class arm_compute::CLConvolutionSquare<5>; -template class arm_compute::CLConvolutionSquare<7>; -template class arm_compute::CLConvolutionSquare<9>; - -void CLConvolutionRectangle::configure(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, conv, rows, cols, scale, border_mode, constant_border_value); -} - -void CLConvolutionRectangle::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, - BorderMode border_mode, uint8_t constant_border_value) -{ - auto k = arm_compute::support::cpp14::make_unique<CLConvolutionRectangleKernel>(); - k->configure(compile_context, input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED); - _kernel = std::move(k); - _border_handler.configure(compile_context, input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); -} |