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 --- .../kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp | 92 ++++++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp (limited to 'src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp') diff --git a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp new file mode 100644 index 0000000000..289873c23f --- /dev/null +++ b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.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/CLGEMMMatrixAccumulateBiasesKernel.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/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" + +using namespace arm_compute; + +CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel() + : _accum(nullptr), _biases(nullptr) +{ +} + +void CLGEMMMatrixAccumulateBiasesKernel::configure(ICLTensor *accum, const ICLTensor *biases) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum); + ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() != 1); + + _biases = biases; + _accum = accum; + + // Create kernel + std::string data_type_name = lower_string(string_from_data_type(accum->info()->data_type())); + _kernel = static_cast(CLKernelLibrary::get().create_kernel("gemm_accumulate_biases_" + data_type_name)); + + // Configure kernel window + const unsigned int num_elems_processed_per_iteration = max_cl_vector_width / data_size_from_type(accum->info()->data_type()); + + Window win = calculate_max_window(*_accum->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowStatic biases_access(biases->info(), 0, 0, biases->info()->dimension(0), biases->info()->dimension(1)); + AccessWindowHorizontal accum_access(_accum->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, biases_access, accum_access); + + ICLKernel::configure(win); +} + +void CLGEMMMatrixAccumulateBiasesKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + Window accum_slice = window.first_slice_window_2D(); + + Window biases_slice(accum_slice); + biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1)); + + // Run kernel + do + { + // Set arguments + unsigned int idx = 0; + add_2D_tensor_argument(idx, _accum, accum_slice); + add_1D_tensor_argument(idx, _biases, biases_slice); + + enqueue(queue, *this, accum_slice); + } + while(window.slide_window_slice_2D(accum_slice)); +} -- cgit v1.2.1