| /* |
| * Copyright (c) 2017, 2018 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/GCDepthConcatenateLayerKernel.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; |
| |
| GCDepthConcatenateLayerKernel::GCDepthConcatenateLayerKernel() |
| : _input(nullptr), _output(nullptr), _top_bottom(0), _left_right(0) |
| { |
| } |
| |
| BorderSize GCDepthConcatenateLayerKernel::border_size() const |
| { |
| return BorderSize(_top_bottom, _left_right); |
| } |
| |
| void GCDepthConcatenateLayerKernel::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<std::string> 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<GCKernel>(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(), output->info()->tensor_shape())); |
| |
| IGCKernel::configure(win); |
| } |
| |
| void GCDepthConcatenateLayerKernel::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 |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, 1, slice); |
| add_3D_tensor_argument(idx, _output, 2, slice); |
| |
| _kernel.update_shader_params(); |
| |
| enqueue(*this, slice); |
| } |
| while(window.slide_window_slice_3D(slice)); |
| } |