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Diffstat (limited to 'src/core/CL/kernels/CLPoolingLayerKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLPoolingLayerKernel.cpp | 180 |
1 files changed, 180 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLPoolingLayerKernel.cpp b/src/core/CL/kernels/CLPoolingLayerKernel.cpp new file mode 100644 index 0000000000..dc5ae4ec7a --- /dev/null +++ b/src/core/CL/kernels/CLPoolingLayerKernel.cpp @@ -0,0 +1,180 @@ +/* + * 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/CLPoolingLayerKernel.h" + +#include "arm_compute/core/AccessWindowStatic.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/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include <set> +#include <string> +#include <tuple> + +using namespace arm_compute; + +CLPoolingLayerKernel::CLPoolingLayerKernel() + : _input(nullptr), _output(nullptr), _pool_info(), _border_size(0) +{ +} + +BorderSize CLPoolingLayerKernel::border_size() const +{ + return _border_size; +} + +void CLPoolingLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info) +{ + int pool_pad_x = 0; + int pool_pad_y = 0; + int pool_stride_x = 0; + int pool_stride_y = 0; + unsigned int pooled_w = 0; + unsigned int pooled_h = 0; + const PoolingType pool_type = pool_info.pool_type(); + const int pool_size = pool_info.pool_size(); + const PadStrideInfo pad_stride_info = pool_info.pad_stride_info(); + DimensionRoundingType pool_round = pad_stride_info.round(); + std::tie(pool_pad_x, pool_pad_y) = pad_stride_info.pad(); + std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); + + 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); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON(2 != pool_size && 3 != pool_size); + ARM_COMPUTE_ERROR_ON(pool_pad_x >= pool_size || pool_pad_y >= pool_size); + + // Check output dimensions + std::tie(pooled_w, pooled_h) = scaled_dimensions(input->info()->dimension(0), + input->info()->dimension(1), + pool_size, + pool_stride_x, pool_stride_y, + pool_pad_x, pool_pad_y, + pool_round); + ARM_COMPUTE_UNUSED(pooled_w); + ARM_COMPUTE_UNUSED(pooled_h); + ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) != pooled_w) || (output->info()->dimension(1) != pooled_h)); + + const int input_width = input->info()->dimension(0); + const int input_height = input->info()->dimension(1); + const int upper_bound_w = ((pooled_w - 1) * pool_stride_x - pool_pad_x + pool_size) - input_width; + const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_y + pool_size) - input_height; + + // Set instance variables + _input = input; + _output = output; + _pool_info = pool_info; + _border_size = BorderSize(pool_pad_y, pool_pad_x); + _border_size.right = std::max(upper_bound_w, pool_pad_x); + _border_size.bottom = std::max(upper_bound_h, pool_pad_y); + + // Set build options + std::set<std::string> build_opts; + build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); + build_opts.emplace(("-DPOOL_" + ((PoolingType::MAX == pool_type) ? std::string("MAX") : std::string("AVG")))); + + // Create kernel + std::string kernel_name = "pooling_layer_" + val_to_string(pool_size); + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts)); + + // Set static kernel arguments + if(pool_type == PoolingType::AVG) + { + // Create static kernel arguments + const cl_int2 max_dims = + { + { + static_cast<cl_int>(input->info()->dimension(0)) + pool_pad_x, + static_cast<cl_int>(input->info()->dimension(1)) + pool_pad_y, + } + }; + const cl_int2 strides = + { + { + pool_stride_x, + pool_stride_y, + } + }; + const cl_int2 paddings = + { + { + pool_pad_x, + pool_pad_y, + } + }; + + // Set static kernel arguments + unsigned int idx = 2 * num_arguments_per_3D_tensor(); + _kernel.setArg<cl_int2>(idx++, max_dims); + _kernel.setArg<cl_int2>(idx++, strides); + _kernel.setArg<cl_int2>(idx++, paddings); + } + + // Configure kernel window + const unsigned int num_elems_processed_per_iteration = 1; + + Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowStatic input_access(input->info(), -pool_pad_x, -pool_pad_y, input_width + _border_size.right, input_height + _border_size.bottom); + 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())); + + ICLKernel::configure(win); +} + +void CLPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + unsigned int pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y = 0; + std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); + std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); + + Window slice = window.first_slice_window_3D(); + + do + { + // Upsample input by pool size + Window in_slice(slice); + in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start() - pool_pad_x, in_slice.x().end() * pool_stride_x, pool_stride_x)); + in_slice.set(Window::DimY, Window::Dimension(in_slice.y().start() - pool_pad_y, in_slice.y().end() * pool_stride_y, pool_stride_y)); + + // Set inputs + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, in_slice); + add_3D_tensor_argument(idx, _output, slice); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_3D(slice)); +} |