diff options
Diffstat (limited to 'src/core/CL/kernels/CLIm2ColKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLIm2ColKernel.cpp | 202 |
1 files changed, 202 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLIm2ColKernel.cpp b/src/core/CL/kernels/CLIm2ColKernel.cpp new file mode 100644 index 0000000000..8c0fe26666 --- /dev/null +++ b/src/core/CL/kernels/CLIm2ColKernel.cpp @@ -0,0 +1,202 @@ +/* + * 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/CLIm2ColKernel.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" + +#include <cmath> +#include <tuple> + +using namespace arm_compute; + +CLIm2ColKernel::CLIm2ColKernel() + : _input(nullptr), _output(nullptr), _convolved_dims(), _conv_info(), _kernel_size(0), _num_elems_processed_per_iteration(1), _run_func(nullptr) +{ +} + +void CLIm2ColKernel::configure(const ICLTensor *input, ICLTensor *output, std::pair<unsigned int, unsigned int> convolved_dims, const PadStrideInfo &conv_info, bool has_bias) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32); + + _input = input; + _output = output; + + // Create kernel + std::set<std::string> build_opts; + build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); + build_opts.emplace((has_bias ? "-DHAS_BIAS" : "")); + + int pad_x = 0; + int pad_y = 0; + int stride_x = 0; + int stride_y = 0; + std::tie(pad_x, pad_y) = conv_info.pad(); + std::tie(stride_x, stride_y) = conv_info.stride(); + + 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) && (pad_x == 0) && (pad_y == 0)); + + if(!run_img2col_reduced) + { + _convolved_dims = convolved_dims; + _conv_info = conv_info; + _kernel_size = std::sqrt((output->info()->dimension(0) - (has_bias ? 1 : 0)) / input->info()->dimension(2)); + _num_elems_processed_per_iteration = output->info()->dimension(0); + + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("im2col_generic", build_opts)); + + // Create static kernel arguments + const cl_int2 input_dims = + { + { + static_cast<cl_int>(input->info()->dimension(0)), + static_cast<cl_int>(input->info()->dimension(1)), + } + }; + const cl_int2 strides = + { + { + stride_x, + stride_y, + } + }; + const cl_int2 paddings = + { + { + pad_x, + pad_y, + } + }; + + // Set static kernel arguments + unsigned int idx = num_arguments_per_2D_tensor() + num_arguments_per_3D_tensor(); + _kernel.setArg<cl_int>(idx++, _kernel_size); + _kernel.setArg<cl_int>(idx++, input->info()->dimension(2) /* depth */); + _kernel.setArg<cl_int>(idx++, _convolved_dims.first /* output width */); + _kernel.setArg<cl_int2>(idx++, input_dims); + _kernel.setArg<cl_int2>(idx++, strides); + _kernel.setArg<cl_int2>(idx++, paddings); + + _run_func = &CLIm2ColKernel::run_generic; + } + else + { + _num_elems_processed_per_iteration = 1; + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("im2col_reduced", build_opts)); + _run_func = &CLIm2ColKernel::run_reduced; + } + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + // The CLIm2ColKernel 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); +} + +void CLIm2ColKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON(_run_func == nullptr); + (this->*_run_func)(window, queue); +} + +void CLIm2ColKernel::run_generic(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + int pad_x = 0; + int pad_y = 0; + int stride_x = 0; + int stride_y = 0; + std::tie(pad_x, pad_y) = _conv_info.pad(); + std::tie(stride_x, stride_y) = _conv_info.stride(); + + // Get initial windows + Window slice = window.first_slice_window_3D(); + Window slice_in = window.first_slice_window_3D(); + Window slice_out = window.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)); + slice.set(Window::DimZ, Window::Dimension(0, 1, 1)); + + // Setup input slice + // The first three dimensions of the input are increased by the inner loops + slice_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + // 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)); + + do + { + // Set inputs + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, slice_in); + add_2D_tensor_argument(idx, _output, slice_out); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_3D(slice) && window.slide_window_slice_3D(slice_out) && window.slide_window_slice_3D(slice_in)); +} + +void CLIm2ColKernel::run_reduced(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 out_slice = out_window.first_slice_window_1D(); + Window in_slice = window.first_slice_window_3D(); + + // Run kernel + do + { + // Set arguments + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, in_slice); + add_1D_tensor_argument(idx, _output, out_slice); + + _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(0)); + _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(1)); + enqueue(queue, *this, in_slice); + } + while(window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_1D(out_slice)); +} |