diff options
Diffstat (limited to 'src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp')
| -rw-r--r-- | src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp | 302 |
1 files changed, 0 insertions, 302 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp deleted file mode 100644 index 1890cf7e04..0000000000 --- a/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp +++ /dev/null @@ -1,302 +0,0 @@ -/* - * Copyright (c) 2017-2020 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/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" -#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" -#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" -#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Size2D.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "support/StringSupport.h" - -#include <cmath> -#include <tuple> - -using namespace arm_compute; - -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); - - // Checks performed when output is configured - if(output->total_size() != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} -} // namespace - -GCIm2ColKernel::GCIm2ColKernel() - : _input(nullptr), _output(nullptr), _convolved_dims(), _kernel_dims(), _num_elems_processed_per_iteration(1), _run_func(nullptr) -{ -} - -void GCIm2ColKernel::configure(const IGCTensor *input, IGCTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); - - _input = input; - _output = output; - - // Create kernel - std::set<std::string> build_opts; - std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; - build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1)); - build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1)); - build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1)); - build_opts.insert("#define " + dt_name); - - if(has_bias) - { - build_opts.emplace("#define HAS_BIAS"); - } - - int stride_x = 0; - int stride_y = 0; - - std::tie(stride_x, stride_y) = conv_info.stride(); - _kernel_dims = std::make_pair(kernel_dims.width, kernel_dims.height); - - const bool run_img2col_reduced = (output->info()->dimension(0) == (input->info()->dimension(0) * input->info()->dimension(1) * input->info()->dimension(2))) && (TensorShape::num_max_dimensions >= 4) - && (std::equal(input->info()->tensor_shape().cbegin() + 3, - input->info()->tensor_shape().cend(), - output->info()->tensor_shape().cbegin() + 1)) - && ((stride_x == 1) && (stride_y == 1) && !conv_info.has_padding()) - && (dilation == Size2D(1U, 1U)); - - std::string kernel_name = "im2col_generic"; - if(!run_img2col_reduced) - { - if(input->info()->data_type() == DataType::F16 && _kernel_dims == std::pair<unsigned int, unsigned int>(1, 1)) - { - build_opts.emplace("#define KERNEL_1x1"); - } - - build_opts.emplace("#define IM2COL_GENERIC"); - _convolved_dims = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1), - kernel_dims.width, kernel_dims.height, - conv_info, dilation); - _num_elems_processed_per_iteration = (input->info()->data_type() == DataType::F32) ? 1 : 2; - - build_opts.emplace("#define KERNEL_WIDTH " + support::cpp11::to_string(kernel_dims.width)); - build_opts.emplace("#define KERNEL_HEIGHT " + support::cpp11::to_string(kernel_dims.height)); - build_opts.emplace("#define KERNEL_DEPTH " + support::cpp11::to_string(input->info()->dimension(2))); - build_opts.emplace("#define CONVOLVED_WIDTH " + support::cpp11::to_string(_convolved_dims.first)); - build_opts.emplace("#define CONVOLVED_HEIGHT " + support::cpp11::to_string(_convolved_dims.second)); - build_opts.emplace("#define STRIDE_X " + support::cpp11::to_string(conv_info.stride().first)); - build_opts.emplace("#define STRIDE_Y " + support::cpp11::to_string(conv_info.stride().second)); - build_opts.emplace("#define PAD_LEFT " + support::cpp11::to_string(conv_info.pad_left())); - build_opts.emplace("#define PAD_TOP " + support::cpp11::to_string(conv_info.pad_top())); - build_opts.emplace("#define PAD_RIGHT " + support::cpp11::to_string(conv_info.pad_right())); - build_opts.emplace("#define PAD_BOTTOM " + support::cpp11::to_string(conv_info.pad_bottom())); - build_opts.emplace("#define SRC_WIDTH " + support::cpp11::to_string(input->info()->dimension(0))); - build_opts.emplace("#define SRC_HEIGHT " + support::cpp11::to_string(input->info()->dimension(1))); - build_opts.emplace("#define DILATION_X " + support::cpp11::to_string(dilation.x())); - build_opts.emplace("#define DILATION_Y " + support::cpp11::to_string(dilation.y())); - - _run_func = &GCIm2ColKernel::run_generic; - } - else - { - build_opts.emplace("#define IM2COL_REDUCED"); - kernel_name = "im2col_reduced"; - - if(input->info()->data_type() == DataType::F32) - { - _num_elems_processed_per_iteration = 4 / input->info()->element_size(); - } - else if(input->info()->data_type() == DataType::F16) - { - int input_width = input->info()->dimension(0); - int input_height = input->info()->dimension(1); - - build_opts.emplace("#define IMAGE_SIZE " + support::cpp11::to_string(input_width * input_height)); - if(input_width % 8 == 0) - { - _num_elems_processed_per_iteration = 8; - build_opts.emplace("#define IM2COL_REDUCED_8X"); - } - else if(input_width % 4 == 0) - { - _num_elems_processed_per_iteration = 4; - build_opts.emplace("#define IM2COL_REDUCED_4X"); - } - else if(input_width % 2 == 0) - { - _num_elems_processed_per_iteration = 2; - build_opts.emplace("#define IM2COL_REDUCED_2X"); - } - else - { - _num_elems_processed_per_iteration = 2; - build_opts.emplace("#define IM2COL_REDUCED_GENERIC"); - } - } - - _run_func = &GCIm2ColKernel::run_reduced; - } - - // Create kernel - _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name, build_opts)); - - // Configure kernel window - Window win = calculate_max_window(*input->info(), Steps(_num_elems_processed_per_iteration)); - - if(input->info()->data_type() == DataType::F16) - { - // Calculate input right and bottom border - const int input_width = input->info()->dimension(0); - const int input_height = input->info()->dimension(1); - int input_total_width = input->info()->padding().left + input_width + input->info()->padding().right; - int input_padding_right = ceil_to_multiple(input_total_width, _num_elems_processed_per_iteration) - input_total_width; - input_total_width = input_width + input_padding_right + input->info()->padding().right; - AccessWindowStatic input_access(input->info(), 0, 0, input_total_width, input_height); - - // Calculate output right and bottom border - const int output_width = output->info()->dimension(0); - const int output_height = output->info()->dimension(1); - const int output_padding_right = ceil_to_multiple(output_width, _num_elems_processed_per_iteration) - output_width; - AccessWindowStatic output_access(output->info(), 0, 0, output_width + output_padding_right, output_height); - - update_window_and_padding(win, input_access, output_access); - } - - output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); - - if(!run_img2col_reduced) - { - // set the Z dimension's step same size as the whole dimension so that one can't split across the Z dimension - win.set_dimension_step(Window::DimZ, win[Window::DimZ].end() - win[Window::DimZ].start()); - } - - IGCKernel::configure(win); -} - -Status GCIm2ColKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation) -{ - ARM_COMPUTE_UNUSED(kernel_dims); - ARM_COMPUTE_UNUSED(conv_info); - ARM_COMPUTE_UNUSED(has_bias); - ARM_COMPUTE_UNUSED(dilation); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); - return Status{}; -} - -void GCIm2ColKernel::run(const Window &window) -{ - ARM_COMPUTE_ERROR_ON(_run_func == nullptr); - (this->*_run_func)(window); -} - -void GCIm2ColKernel::run_generic(const Window &window) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window); - - // Get initial windows - Window window_collapsed = window.collapse_if_possible(IGCKernel::window(), Window::DimZ); - - // Change the Z dimension's step back to 1 - window_collapsed.set_dimension_step(Window::DimZ, 1); - - Window slice = window_collapsed.first_slice_window_3D(); - Window slice_in = window_collapsed.first_slice_window_3D(); - Window slice_out = window_collapsed.first_slice_window_3D(); - - // Setup slice - slice.set(Window::DimX, Window::Dimension(0, static_cast<int>(_convolved_dims.first), 1)); - slice.set(Window::DimY, Window::Dimension(0, static_cast<int>(_convolved_dims.second), 1)); - - // Setup output slice - slice_out.set(Window::DimX, Window::Dimension(0, _output->info()->dimension(0), _num_elems_processed_per_iteration)); - slice_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 1)); - slice_out.set(Window::DimZ, Window::Dimension(0, 1, 1)); - - // we need top/left pad to be included in valid region - if(_input->info()->data_type() == DataType::F16) - { - (dynamic_cast<TensorInfo *>(_input->info()))->init(_input->info()->tensor_shape(), _input->info()->num_channels(), _input->info()->data_type(), _input->info()->strides_in_bytes(), 0, - _input->info()->total_size()); - } - - _kernel.use(); - - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, 1, slice_in); - add_2D_tensor_argument(idx, _output, 2, slice_out); - _kernel.set_argument(idx++, static_cast<unsigned int>(_input->info()->strides_in_bytes()[3])); - _kernel.set_argument(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[3])); - _kernel.update_shader_params(); - - enqueue(*this, slice); - } - while(window_collapsed.slide_window_slice_3D(slice) && window_collapsed.slide_window_slice_3D(slice_out) && window_collapsed.slide_window_slice_3D(slice_in)); -} - -void GCIm2ColKernel::run_reduced(const Window &window) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window); - - Window out_window; - out_window.use_tensor_dimensions(_output->info()->tensor_shape()); - - Window out_slice = out_window.first_slice_window_1D(); - Window in_slice = window.first_slice_window_3D(); - - _kernel.use(); - - // Run kernel - do - { - // Set arguments - unsigned int idx = 0; - - add_3D_tensor_argument(idx, _input, 1, in_slice); - add_1D_tensor_argument(idx, _output, 2, out_slice); - _kernel.set_argument(idx++, _input->info()->dimension(0)); - _kernel.set_argument(idx++, _input->info()->dimension(1)); - _kernel.update_shader_params(); - - enqueue(*this, in_slice); - } - while(window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_1D(out_slice)); -} |