From 9fe414430c3c989b1cdc79d41e031495aed2cb7c Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Wed, 23 Aug 2017 16:36:24 +0100 Subject: COMPMID-452 CL Generic Depthwise Convolution implementation. Change-Id: I115e48fe6ce5e281f3791aa5d80fdc754cdd2b5e Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85082 Tested-by: Kaizen Reviewed-by: Gian Marco Iodice --- .../CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp | 120 +++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 src/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp (limited to 'src/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp') diff --git a/src/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp b/src/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp new file mode 100644 index 0000000000..c10e6bea12 --- /dev/null +++ b/src/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.cpp @@ -0,0 +1,120 @@ +/* + * 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/CLDepthwiseConvolution3x3Kernel.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/ICLKernel.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" + +using namespace arm_compute; + +CLDepthwiseConvolution3x3Kernel::CLDepthwiseConvolution3x3Kernel() + : _border_size(0), _input(), _output(), _weights(), _conv_stride_x(0), _conv_stride_y(0), _conv_pad_x(0), _conv_pad_y(0) +{ +} + +BorderSize CLDepthwiseConvolution3x3Kernel::border_size() const +{ + return _border_size; +} + +void CLDepthwiseConvolution3x3Kernel::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const PadStrideInfo &conv_info) +{ + 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); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(weights, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON(weights->info()->dimension(0) != 3 || weights->info()->dimension(1) != 3); + + _input = input; + _output = output; + _weights = weights; + _conv_stride_x = conv_info.stride().first; + _conv_stride_y = conv_info.stride().second; + _border_size = BorderSize(weights->info()->dimension(1) / 2, weights->info()->dimension(0) / 2); + _conv_pad_x = std::min(border_size().right, conv_info.pad().first); + _conv_pad_y = std::min(border_size().bottom, conv_info.pad().second); + + // Set build options + std::set options; + + options.emplace("-DCONV_STRIDE_X=" + support::cpp11::to_string(_conv_stride_x)); + + _kernel = static_cast(CLKernelLibrary::get().create_kernel("depthwise_convolution_3x3", options)); + + // Configure kernel window + const unsigned int num_elems_processed_per_iteration = 2; + const unsigned int num_elems_written_per_iteration = 2; + const unsigned int num_elems_read_per_iteration = (_conv_stride_x == 1) ? 4 : (_conv_stride_x == 2) ? 5 : 6; + const unsigned int num_rows_read_per_iteration = 3; + + Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); + + const int access_right = border_size().left + ceil_to_multiple(border_size().left + input->info()->dimension(0), num_elems_read_per_iteration); + const int access_bottom = border_size().bottom + ceil_to_multiple(border_size().bottom + input->info()->dimension(1), num_rows_read_per_iteration); + + AccessWindowStatic input_access(input->info(), -border_size().left, -border_size().bottom, access_right, access_bottom); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration); + AccessWindowStatic weights_access(weights->info(), 0, 0, weights->info()->dimension(0), weights->info()->dimension(1)); + + update_window_and_padding(win, input_access, weights_access, output_access); + + output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); + + ICLKernel::configure(win); +} + +void CLDepthwiseConvolution3x3Kernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + Window slice_in = window.first_slice_window_3D(); + Window slice_out = window.first_slice_window_3D(); + Window slice_weights = window.first_slice_window_3D(); + + slice_in.adjust(Window::DimX, -_conv_pad_x, true); + slice_in.adjust(Window::DimY, -_conv_pad_y, true); + slice_in.set_dimension_step(Window::DimX, window.x().step() * _conv_stride_x); + slice_in.set_dimension_step(Window::DimY, window.y().step() * _conv_stride_y); + slice_weights.set_dimension_step(Window::DimX, 0); + slice_weights.set_dimension_step(Window::DimY, 0); + + do + { + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, slice_in); + add_3D_tensor_argument(idx, _output, slice_out); + add_3D_tensor_argument(idx, _weights, slice_weights); + + enqueue(queue, *this, slice_out); + } + while(window.slide_window_slice_3D(slice_out)); +} -- cgit v1.2.1