From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/core/CL/kernels/CLWeightsReshapeKernel.cpp | 163 +++++++++++++++++++++++++ 1 file changed, 163 insertions(+) create mode 100644 src/core/CL/kernels/CLWeightsReshapeKernel.cpp (limited to 'src/core/CL/kernels/CLWeightsReshapeKernel.cpp') diff --git a/src/core/CL/kernels/CLWeightsReshapeKernel.cpp b/src/core/CL/kernels/CLWeightsReshapeKernel.cpp new file mode 100644 index 0000000000..018f272921 --- /dev/null +++ b/src/core/CL/kernels/CLWeightsReshapeKernel.cpp @@ -0,0 +1,163 @@ +/* + * 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/CL/kernels/CLWeightsReshapeKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/CL/OpenCL.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" + +using namespace arm_compute; + +CLWeightsReshapeKernel::CLWeightsReshapeKernel(bool is_shared) + : _is_shared(is_shared), _input(nullptr), _biases(nullptr), _output(nullptr) +{ +} + +void CLWeightsReshapeKernel::configure(const ICLTensor *input, const ICLTensor *biases, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); + if(_is_shared) + { + ARM_COMPUTE_ERROR_ON(input->info()->dimension(4) != (output->info()->dimension(2))); + ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() > 5); + ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() > 3); + } + else + { + ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() > 4); + ARM_COMPUTE_ERROR_ON(output->info()->num_dimensions() > 2); + } + + // Check biases + if(biases != nullptr) + { + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::F16, DataType::F32); + } + + _biases = biases; + _output = output; + _input = input; + + // Create build options + std::set build_opts; + build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); + build_opts.emplace(((biases != nullptr) ? "-DHAS_BIAS" : "")); + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("reshape_to_columns", build_opts)); + + // Set static arguments + unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor(); + idx += (biases != nullptr) ? num_arguments_per_1D_tensor() : 0; + _kernel.setArg(idx++, _input->info()->dimension(0)); + _kernel.setArg(idx++, _input->info()->dimension(1)); + _kernel.setArg(idx++, _input->info()->dimension(2)); + _kernel.setArg(idx++, _input->info()->dimension(3)); + + // Configure window + Window win = calculate_max_window(*input->info(), Steps()); + // The CLWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped + output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); + ICLKernel::configure(win); +} + +CLConvolutionLayerWeightsReshapeKernel::CLConvolutionLayerWeightsReshapeKernel() + : CLWeightsReshapeKernel(false) +{ +} + +void CLConvolutionLayerWeightsReshapeKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + Window out_window; + out_window.use_tensor_dimensions(_output->info()); + + Window in_slice = window.first_slice_window_3D(); + Window out_slice = out_window.first_slice_window_2D(); + + // Set arguments + unsigned idx = 0; + add_3D_tensor_argument(idx, _input, in_slice); + add_2D_tensor_argument(idx, _output, out_slice); + if(_biases != nullptr) + { + Window biases_slice; + biases_slice.set(Window::DimX, Window::Dimension(0, _biases->info()->tensor_shape().x(), 1)); + add_1D_tensor_argument(idx, _biases, biases_slice); + } + + // Run kernel + enqueue(queue, *this, in_slice); +} + +CLLocallyConnectedLayerWeightsReshapeKernel::CLLocallyConnectedLayerWeightsReshapeKernel() + : CLWeightsReshapeKernel(true) +{ +} + +void CLLocallyConnectedLayerWeightsReshapeKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + Window out_window; + out_window.use_tensor_dimensions(_output->info()); + + Window in_slice = window.first_slice_window_3D(); + Window out_slice = out_window.first_slice_window_2D(); + + Window biases_window; + Window biases_slice; + + if(_biases != nullptr) + { + biases_window.use_tensor_dimensions(_biases->info()); + biases_slice = biases_window.first_slice_window_1D(); + } + + do + { + // Set arguments + unsigned idx = 0; + add_3D_tensor_argument(idx, _input, in_slice); + add_2D_tensor_argument(idx, _output, out_slice); + if(_biases != nullptr) + { + add_1D_tensor_argument(idx, _biases, biases_slice); + biases_window.slide_window_slice_1D(biases_slice); + } + + // Run kernel + enqueue(queue, *this, in_slice); + } + while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice)); +} -- cgit v1.2.1