| /* |
| * Copyright (c) 2017-2018 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/runtime/CL/functions/CLSoftmaxLayer.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/ICLKernel.h" |
| #include "arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/runtime/CL/CLMemoryGroup.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| |
| using namespace arm_compute; |
| |
| CLSoftmaxLayer::CLSoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _max_shift_exp_sum_kernel(), _norm_kernel(), _max(), _sum(), _tmp() |
| { |
| } |
| |
| void CLSoftmaxLayer::configure(const ICLTensor *input, ICLTensor *output, float beta) |
| { |
| // Perform validation step |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(CLSoftmaxLayer::validate(input->info(), output->info())); |
| |
| // Create intermediate tensors shapes |
| const TensorInfo input_info = input->info()->clone()->reset_padding().set_is_resizable(true); |
| DataType tmp_data_type = is_data_type_quantized_asymmetric(input->info()->data_type()) ? DataType::S32 : input->info()->data_type(); |
| TensorInfo tensor_info_tmp(input_info.clone()->set_data_type(tmp_data_type)); |
| _tmp.allocator()->init(tensor_info_tmp); |
| |
| TensorShape max_sum_shape = input->info()->tensor_shape(); |
| max_sum_shape.set(0, 1); |
| _max.allocator()->init(input_info.clone()->set_tensor_shape(max_sum_shape)); |
| _sum.allocator()->init(input_info.clone()->set_tensor_shape(max_sum_shape).set_data_type(tmp_data_type)); |
| |
| // Set GPU target to kernels |
| _max_shift_exp_sum_kernel.set_target(CLScheduler::get().target()); |
| |
| // Manage intermediate buffers |
| _memory_group.manage(&_tmp); |
| _memory_group.manage(&_max); |
| _memory_group.manage(&_sum); |
| |
| // Configure kernels |
| _max_shift_exp_sum_kernel.configure(input, &_max, &_tmp, &_sum, beta); |
| _norm_kernel.configure(&_tmp, &_sum, output, beta); |
| |
| // Allocate intermediate buffers |
| _tmp.allocator()->allocate(); |
| _max.allocator()->allocate(); |
| _sum.allocator()->allocate(); |
| } |
| |
| Status CLSoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| |
| // Create intermediate tensor info |
| DataType tmp_data_type = is_data_type_quantized_asymmetric(input->data_type()) ? DataType::S32 : input->data_type(); |
| TensorInfo tensor_info_tmp(input->clone()->set_data_type(tmp_data_type)); |
| |
| TensorShape max_sum_shape = input->tensor_shape(); |
| max_sum_shape.set(0, 1); |
| TensorInfo tensor_info_max(input->clone()->set_tensor_shape(max_sum_shape)); |
| TensorInfo tensor_info_sum(input->clone()->set_tensor_shape(max_sum_shape).set_data_type(tmp_data_type).set_quantization_info(QuantizationInfo())); |
| |
| ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DMaxShiftExpSumKernel::validate(input, &tensor_info_max, &tensor_info_tmp, &tensor_info_sum)); |
| ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DNormKernel::validate(&tensor_info_tmp, &tensor_info_sum, output)); |
| |
| return Status{}; |
| } |
| |
| void CLSoftmaxLayer::run() |
| { |
| _memory_group.acquire(); |
| |
| CLScheduler::get().enqueue(_max_shift_exp_sum_kernel, false); |
| CLScheduler::get().enqueue(_norm_kernel); |
| |
| _memory_group.release(); |
| } |