diff options
Diffstat (limited to 'src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp')
-rw-r--r-- | src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp | 252 |
1 files changed, 0 insertions, 252 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp b/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp deleted file mode 100644 index 95d487b4dd..0000000000 --- a/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp +++ /dev/null @@ -1,252 +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/GCDepthwiseConvolutionLayer3x3Kernel.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/IGCKernel.h" -#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "src/core/AccessWindowStatic.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" -#include "support/StringSupport.h" - -using namespace arm_compute; -using namespace arm_compute::misc::shape_calculator; - -GCDepthwiseConvolutionLayer3x3Kernel::GCDepthwiseConvolutionLayer3x3Kernel() - : _border_size(0), _input(), _output(), _weights(), _biases(), _conv_stride_x(0), _conv_stride_y(0), _conv_pad_left(0), _conv_pad_top(0), _lws(gles::NDRange(1U, 1U, 1U)) -{ -} - -BorderSize GCDepthwiseConvolutionLayer3x3Kernel::border_size() const -{ - return _border_size; -} - -void GCDepthwiseConvolutionLayer3x3Kernel::configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info, - unsigned int depth_multiplier) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); - ARM_COMPUTE_ERROR_ON(weights->info()->dimension(0) != 3 || weights->info()->dimension(1) != 3); - - if(biases != nullptr) - { - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(weights, biases); - ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != weights->info()->dimension(2)); - ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1); - } - - // Get convolved dimensions - const TensorShape output_shape = compute_depthwise_convolution_shape(*input->info(), *weights->info(), conv_info, depth_multiplier); - - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output->info(), - output_shape, - 1, - input->info()->data_type()); - - ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); - ARM_COMPUTE_ERROR_ON(output->info()->dimension(2) != weights->info()->dimension(2)); - - _input = input; - _output = output; - _weights = weights; - _biases = biases; - _conv_stride_x = conv_info.stride().first; - _conv_stride_y = conv_info.stride().second; - _conv_pad_left = conv_info.pad_left(); - _conv_pad_top = conv_info.pad_top(); - _border_size = BorderSize(_conv_pad_top, conv_info.pad_right(), conv_info.pad_bottom(), _conv_pad_left); - - // Set build options - ARM_COMPUTE_ERROR_ON(_conv_stride_x < 1 || _conv_stride_x > 3); - std::set<std::string> options; - - options.emplace("#define DEPTH_MULTIPLIER " + support::cpp11::to_string(depth_multiplier)); - options.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws[0])); - options.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws[1])); - options.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws[2])); - options.emplace("#define STRIDE_X " + support::cpp11::to_string(_conv_stride_x)); - options.emplace("#define STRIDE_Y " + support::cpp11::to_string(_conv_stride_y)); - - std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; - options.emplace(("#define " + dt_name)); - - unsigned int num_elems_read_per_iteration_x = 8; - unsigned int num_elems_read_per_iteration_y = 1; - unsigned int num_elems_written_per_iteration_x = 4; - unsigned int num_elems_written_per_iteration_y = 1; - unsigned int num_elems_written_per_iteration_z = 1; - - if((_conv_stride_x == 1) && (_conv_stride_y == 1)) - { - switch(input->info()->data_type()) - { -#define PROCESS_4X_3Y_1Z - - case DataType::F16: -#if defined(PROCESS_4X_3Y_1Z) - options.emplace("#define PROCESS_4X_3Y_1Z"); - num_elems_read_per_iteration_y = 5; - num_elems_written_per_iteration_y = 3; -#endif /* PROCESS_4X_3Y_1Z */ -#undef PROCESS_4X_3Y_1Z - break; - - default: - ARM_COMPUTE_ERROR("Current data type is not supported"); - break; - } - } - else - { - switch(input->info()->data_type()) - { - case DataType::F16: - options.emplace("#define PROCESS_4X_1Y_1Z"); - break; - - default: - ARM_COMPUTE_ERROR("Current data type is not supported"); - break; - } - } - - if(_biases != nullptr) - { - options.emplace("#define BIAS"); - } - - // Create kernel - std::string kernel_name = "depthwise_convolution_3x3"; - _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name, options)); - - // 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_written_per_iteration_x * _lws[0]) - output_width; - const int output_padding_bottom = ceil_to_multiple(output_height, num_elems_written_per_iteration_y * _lws[1]) - output_height; - - // Calculate input right and bottom border - const int input_width = input->info()->dimension(0); - const int input_height = input->info()->dimension(1); - - const int input_total_width = std::max(int(input->info()->padding().left), int(_conv_pad_left)) + input_width + std::max(int(input->info()->padding().right), int(_conv_pad_left)); - const int input_total_height = std::max(int(input->info()->padding().top), int(_conv_pad_top)) + input_height + std::max(int(input->info()->padding().bottom), int(_conv_pad_top)); - - const int input_padding_right = ceil_to_multiple(input_total_width, num_elems_read_per_iteration_x * _lws[0]) - input_width - _conv_pad_left; - const int input_padding_bottom = ceil_to_multiple(input_total_height, num_elems_read_per_iteration_y * _lws[1]) - input_height - _conv_pad_top; - - BorderSize border = BorderSize(0, output_padding_right, output_padding_bottom, 0); - - Window win = calculate_max_enlarged_window(*output->info(), Steps(num_elems_written_per_iteration_x, num_elems_written_per_iteration_y, num_elems_written_per_iteration_z), border); - - AccessWindowStatic input_access(input->info(), -_conv_pad_left, -_conv_pad_top, input_width + input_padding_right, input_height + input_padding_bottom); - AccessWindowStatic weights_access = AccessWindowStatic(nullptr, 0, 0, 0, 0); - AccessWindowStatic bias_access = AccessWindowStatic(nullptr, 0, 0, 0, 1); - - switch(weights->info()->data_type()) - { - case DataType::F16: - weights_access = AccessWindowStatic(weights->info(), 0, 0, 4, 3); - if(_biases != nullptr) - { - bias_access = AccessWindowStatic(_biases->info(), 0, 0, _biases->info()->dimension(0) + 1, 1); - } - break; - - default: - ARM_COMPUTE_ERROR("Current data type is not supported"); - break; - } - - AccessWindowStatic output_access(output->info(), 0, 0, output_width + output_padding_right, output_height + output_padding_bottom); - - if(_biases != nullptr) - { - update_window_and_padding(win, input_access, weights_access, bias_access, output_access); - } - else - { - update_window_and_padding(win, input_access, weights_access, output_access); - } - - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); - - IGCKernel::configure(win); -} - -void GCDepthwiseConvolutionLayer3x3Kernel::run(const Window &window) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - - _kernel.use(); - - _output->set_needs_shifting(true); - - // Create input window and adjust - Window win_in = window; - win_in.adjust(Window::DimX, -_conv_pad_left, true); - win_in.adjust(Window::DimY, -_conv_pad_top, true); - win_in.set_dimension_step(Window::DimX, window.x().step() * _conv_stride_x); - win_in.set_dimension_step(Window::DimY, window.y().step() * _conv_stride_y); - - Window slice_in = win_in.first_slice_window_3D(); - Window slice_out = window.first_slice_window_3D(); - Window slice_weights = window.first_slice_window_3D(); - slice_weights.set_dimension_step(Window::DimX, 0); - slice_weights.set_dimension_step(Window::DimY, 0); - - // Set biases - if(_biases != nullptr) - { - unsigned int idx = 3 * num_arguments_per_3D_tensor(); - Window slice_biases; - slice_biases.use_tensor_dimensions(_biases->info()->tensor_shape()); - add_1D_tensor_argument(idx, _biases, 4, slice_biases); - } - - slice_out.shift(Window::DimX, -(_output->info()->padding()).left); - - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, 1, slice_in); - add_3D_tensor_argument(idx, _output, 2, slice_out); - add_3D_tensor_argument(idx, _weights, 3, slice_weights); - - _kernel.update_shader_params(); - enqueue(*this, slice_out, _lws); - } - while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in)); -} |