diff options
Diffstat (limited to 'src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp | 142 |
1 files changed, 0 insertions, 142 deletions
diff --git a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp deleted file mode 100644 index 03cd1878aa..0000000000 --- a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp +++ /dev/null @@ -1,142 +0,0 @@ -/* - * Copyright (c) 2017-2020 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/CLValidate.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 "support/StringSupport.h" - -using namespace arm_compute; - -namespace -{ -Status validate_arguments(const ITensorInfo *accum, const ITensorInfo *biases) -{ - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(accum); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum); - ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() != 1); - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *accum, ITensorInfo *biases, GPUTarget gpu_target, - unsigned int &num_elems_processed_per_iteration) -{ - // Select the vector size to use (8 for Bifrost; 16 for Midgard). - bool is_gpu_bifrost = gpu_target_is_in(gpu_target, - GPUTarget::G71, GPUTarget::G72, GPUTarget::G76, - GPUTarget::G51, GPUTarget::G51BIG, GPUTarget::G51LIT, - GPUTarget::G52, GPUTarget::G52LIT); - num_elems_processed_per_iteration = is_gpu_bifrost ? 8 : 16; - - // Configure kernel window - Window win = calculate_max_window(*accum, Steps(num_elems_processed_per_iteration)); - - AccessWindowStatic biases_access(biases, 0, 0, ceil_to_multiple(biases->dimension(0), num_elems_processed_per_iteration), biases->dimension(1)); - AccessWindowHorizontal accum_access(accum, 0, num_elems_processed_per_iteration); - - bool window_changed = update_window_and_padding(win, biases_access, accum_access); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel() - : _accum(nullptr), _biases(nullptr) -{ -} - -void CLGEMMMatrixAccumulateBiasesKernel::configure(ICLTensor *accum, const ICLTensor *biases) -{ - configure(CLKernelLibrary::get().get_compile_context(), accum, biases); -} - -void CLGEMMMatrixAccumulateBiasesKernel::configure(const CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases) -{ - // Perform validate step - ARM_COMPUTE_ERROR_ON_NULLPTR(accum, biases); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(accum->info(), biases->info())); - - _biases = biases; - _accum = accum; - - // Get the target gpu - GPUTarget gpu_target = get_target(); - unsigned int vector_size = 0; - - // Configure kernel window - auto win_config = validate_and_configure_window(accum->info(), biases->info(), gpu_target, vector_size); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); - - // Add build options - CLBuildOptions build_opts; - build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(accum->info()->data_type())); - build_opts.add_option("-DVECTOR_SIZE=" + support::cpp11::to_string(vector_size)); - - // Create kernel - _kernel = create_kernel(compile_context, "gemm_accumulate_biases", build_opts.options()); -} - -Status CLGEMMMatrixAccumulateBiasesKernel::validate(const ITensorInfo *accum, const ITensorInfo *biases, GPUTarget gpu_target) -{ - unsigned int num_elems_processed_per_iteration = 0; - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(accum, biases)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(accum->clone().get(), biases->clone().get(), gpu_target, num_elems_processed_per_iteration).first); - - return Status{}; -} - -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, lws_hint()); - } - while(window.slide_window_slice_2D(accum_slice)); -} |