diff options
Diffstat (limited to 'src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp | 156 |
1 files changed, 0 insertions, 156 deletions
diff --git a/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp b/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp deleted file mode 100644 index 37269cafaf..0000000000 --- a/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp +++ /dev/null @@ -1,156 +0,0 @@ -/* - * Copyright (c) 2017-2019 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/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h" - -#include "arm_compute/core/CPP/Validate.h" -#include "arm_compute/core/Coordinates.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" - -using namespace arm_compute; -using namespace arm_compute::misc::shape_calculator; - -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, size_t conv_w, size_t conv_h) -{ - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::S32, DataType::F16, DataType::F32); - - if(output->total_size() != 0) - { - TensorShape output_shape = compute_vector_to_tensor_output_shape(input->tensor_shape(), conv_w, conv_h, output->data_layout()); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); - } - - return Status{}; -} -} // namespace - -template <typename T> -void NEDepthwiseVectorToTensorKernel::vector_to_tensor(const Window &window) -{ - // const int input_w = _input->info()->dimension(0); - const int output_stride_x = _output->info()->strides_in_bytes().x(); - const int output_stride_y = _output->info()->strides_in_bytes().y(); - const int output_stride_z = _output->info()->strides_in_bytes().z(); - - // Setup output window - Window window_out(window); - window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - Iterator in(_input, window); - Iterator out(_output, window_out); - - const int patch_size = _conv_dims.first * _conv_dims.second; - - execute_window_loop(window, [&](const Coordinates & id) - { - const int z = id.x() / patch_size; - const int index2D = id.x() - z * patch_size; - - auto input_ptr = reinterpret_cast<T *>(in.ptr()); - auto output_ptr = reinterpret_cast<T *>(out.ptr() + index2D % _conv_dims.first * output_stride_x + index2D / _conv_dims.first * output_stride_y + z * output_stride_z); - - *output_ptr = *input_ptr; - }, - in, out); -} - -NEDepthwiseVectorToTensorKernel::NEDepthwiseVectorToTensorKernel() - : _func(nullptr), _input(nullptr), _output(nullptr), _conv_dims() -{ -} - -void NEDepthwiseVectorToTensorKernel::configure(const ITensor *input, ITensor *output, size_t conv_w, size_t conv_h) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Output auto inizialitation if not yet initialized - TensorShape output_shape = compute_vector_to_tensor_output_shape(input->info()->tensor_shape(), conv_w, conv_h, output->info()->data_layout()); - auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), conv_w, conv_h)); - - _input = input; - _output = output; - _conv_dims = std::pair<size_t, size_t>(conv_w, conv_h); - - // Set appropriate function to run - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - _func = &NEDepthwiseVectorToTensorKernel::vector_to_tensor<uint8_t>; - break; - case DataType::S32: - _func = &NEDepthwiseVectorToTensorKernel::vector_to_tensor<int32_t>; - break; - case DataType::F16: - _func = &NEDepthwiseVectorToTensorKernel::vector_to_tensor<half>; - break; - case DataType::F32: - _func = &NEDepthwiseVectorToTensorKernel::vector_to_tensor<float>; - break; - default: - ARM_COMPUTE_ERROR("Unsupported data type"); - } - - // Configure kernel window - Window win = calculate_max_window(*input->info(), Steps()); - // The NEDepthwisevectorToTensorKernel doesn't need padding so update_window_and_padding() can be skipped - output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); - - INEKernel::configure(win); -} - -Status NEDepthwiseVectorToTensorKernel::validate(const ITensorInfo *input, const ITensorInfo *output, size_t conv_w, size_t conv_h) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, conv_w, conv_h)); - return Status{}; -} - -void NEDepthwiseVectorToTensorKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - - if(_func != nullptr) - { - (this->*_func)(window); - } -} |