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/CLDepthwiseVectorToTensorKernel.cpp | 92 ++++++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp (limited to 'src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp') diff --git a/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp new file mode 100644 index 0000000000..2086b1de03 --- /dev/null +++ b/src/core/CL/kernels/CLDepthwiseVectorToTensorKernel.cpp @@ -0,0 +1,92 @@ +/* + * 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/CLDepthwiseVectorToTensorKernel.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 "support/ToolchainSupport.h" + +using namespace arm_compute; + +CLDepthwiseVectorToTensorKernel::CLDepthwiseVectorToTensorKernel() + : _input(nullptr), _output(nullptr) +{ +} + +void CLDepthwiseVectorToTensorKernel::configure(const ICLTensor *input, ICLTensor *output, size_t conv_w, size_t conv_h) +{ + 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_MISMATCHING_FIXED_POINT(input, output); + + _input = input; + _output = output; + + // Create kernel + std::set build_opts; + build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); + build_opts.emplace("-DCONV_WIDTH=" + support::cpp11::to_string(conv_w)); + build_opts.emplace("-DCONV_HEIGHT=" + support::cpp11::to_string(conv_h)); + + _kernel = static_cast(CLKernelLibrary::get().create_kernel("depthwise_vector_to_tensor", build_opts)); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + // The CLDepthwisevectorToTensorKernel 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 CLDepthwiseVectorToTensorKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + Window slice = window.first_slice_window_1D(); + Window slice_out = window.first_slice_window_3D(); + + // Setup slice + slice.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), 1)); + + // Setup output slice + // The first three dimensions of the output are increased by the inner loops + slice_out.set(Window::DimX, Window::Dimension(0, 0, 0)); + slice_out.set(Window::DimY, Window::Dimension(0, 0, 0)); + slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + do + { + unsigned int idx = 0; + add_1D_tensor_argument(idx, _input, slice); + add_3D_tensor_argument(idx, _output, slice_out); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_1D(slice) && window.slide_window_slice_3D(slice_out)); +} -- cgit v1.2.1