| /* |
| * Copyright (c) 2016-2021 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/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 "src/core/CL/kernels/CLConvolutionKernel.h" |
| #include "src/core/CL/kernels/CLFillBorderKernel.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 = std::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(std::make_unique<CLSeparableConvolutionHorKernel<matrix_size>>()), |
| _kernel_vert(std::make_unique<CLSeparableConvolutionVertKernel<matrix_size>>()), _kernel(std::make_unique<CLConvolutionKernel<matrix_size>>()), _border_handler(std::make_unique<CLFillBorderKernel>()) |
| { |
| } |
| |
| template <unsigned int matrix_size> |
| CLConvolutionSquare<matrix_size>::~CLConvolutionSquare() = default; |
| |
| 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) |
| { |
| border_mode = (border_mode == BorderMode::UNDEFINED) ? BorderMode::CONSTANT : border_mode; |
| auto k = std::make_unique<CLConvolutionRectangleKernel>(); |
| k->configure(compile_context, input, output, conv, rows, cols, scale, false); |
| _kernel = std::move(k); |
| _border_handler->configure(compile_context, input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); |
| } |