/* * Copyright (c) 2017 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/GCDepthConcatenateKernel.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/Utils.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include "support/ToolchainSupport.h" using namespace arm_compute; GCDepthConcatenateKernel::GCDepthConcatenateKernel() : _input(nullptr), _output(nullptr), _top_bottom(0), _left_right(0) { } BorderSize GCDepthConcatenateKernel::border_size() const { return BorderSize(_top_bottom, _left_right); } void GCDepthConcatenateKernel::configure(const IGCTensor *input, unsigned int depth_offset, IGCTensor *output) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) + depth_offset > output->info()->dimension(2)); ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) > output->info()->dimension(0)); ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) > output->info()->dimension(1)); ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(3, input, output); // The gaps between the two lowest dimensions of input and output need to be divisible by 2 // Otherwise it is not clear how the padding should be added onto the input tensor ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) - input->info()->dimension(0)) % 2); ARM_COMPUTE_ERROR_ON((output->info()->dimension(1) - input->info()->dimension(1)) % 2); _input = input; _output = output; // Add build options std::set build_opts; std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; build_opts.emplace(("#define " + dt_name)); 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)); // Configure kernel window _left_right = (output->info()->dimension(0) - input->info()->dimension(0)) / 2; _top_bottom = (output->info()->dimension(1) - input->info()->dimension(1)) / 2; const int offset_to_first_elements_in_bytes = depth_offset * output->info()->strides_in_bytes()[2]; build_opts.emplace("#define OFFSETS_X " + support::cpp11::to_string(_left_right)); build_opts.emplace("#define OFFSETS_Y " + support::cpp11::to_string(_top_bottom)); build_opts.emplace("#define OFFSETS_Z " + support::cpp11::to_string(offset_to_first_elements_in_bytes)); // Create kernel _kernel = static_cast(GCKernelLibrary::get().create_kernel("concatenate_depth", build_opts)); unsigned int num_elems_processed_per_iteration = 1; unsigned int num_elems_read_per_iteration = 1; if(input->info()->data_type() == DataType::F32) { num_elems_processed_per_iteration = 1; num_elems_read_per_iteration = 1; } else if(input->info()->data_type() == DataType::F16) { num_elems_processed_per_iteration = 4; num_elems_read_per_iteration = 4; } const unsigned int num_rows_read_per_iteration = 1; // The window needs to be based on input as we copy all the depths of input Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); win.set(Window::DimZ, Window::Dimension(0, input->info()->tensor_shape().z(), 1)); AccessWindowRectangle input_access(input->info(), -_left_right, -_top_bottom, num_elems_read_per_iteration, num_rows_read_per_iteration); AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); _kernel.clear_params(); _kernel.set_shader_params_binding_point(0); IGCKernel::configure(win); } void GCDepthConcatenateKernel::run(const Window &window) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IGCKernel::window(), window); _kernel.use(); Window slice = window.first_slice_window_3D(); do { if(_input->info()->data_type() == DataType::F32) { unsigned int idx = 0; add_3D_tensor_argument(idx, _input, 1, slice); add_3D_tensor_argument(idx, _output, 2, slice); } else if(_input->info()->data_type() == DataType::F16) { unsigned int idx = 0; add_3D_tensor_argument(idx, _input, BufferParam(1, 3), slice); add_3D_tensor_argument(idx, _output, BufferParam(2, 3), slice); } _kernel.update_shader_params(); enqueue(*this, slice); } while(window.slide_window_slice_3D(slice)); }