| /* |
| * 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/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h" |
| |
| #include "arm_compute/core/GLES_COMPUTE/kernels/GCSoftmaxLayerKernel.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h" |
| |
| using namespace arm_compute; |
| |
| GCSoftmaxLayer::GCSoftmaxLayer() |
| : _max_kernel(), _shift_exp_sum_kernel(), _norm_kernel(), _max(), _sum(), _tmp() |
| { |
| } |
| |
| void GCSoftmaxLayer::configure(const IGCTensor *input, IGCTensor *output, float beta) |
| { |
| ARM_COMPUTE_UNUSED(beta); |
| |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); |
| ARM_COMPUTE_ERROR_ON(beta != 1.0f); |
| |
| // Create intermediate tensors shapes |
| _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); |
| |
| TensorShape shape = input->info()->tensor_shape(); |
| shape.set(0, 1); |
| TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()); |
| _max.allocator()->init(tensor_info_max_sum); |
| _sum.allocator()->init(tensor_info_max_sum); |
| |
| // Configure Kernels |
| _max_kernel.configure(input, &_max); |
| _shift_exp_sum_kernel.configure(input, &_max, &_tmp, &_sum); |
| _norm_kernel.configure(&_tmp, &_sum, output); |
| |
| // Allocate intermediate buffers |
| _tmp.allocator()->allocate(); |
| _max.allocator()->allocate(); |
| _sum.allocator()->allocate(); |
| } |
| |
| void GCSoftmaxLayer::run() |
| { |
| GCScheduler::get().dispatch(_max_kernel, false); |
| GCScheduler::get().memory_barrier(); |
| GCScheduler::get().dispatch(_shift_exp_sum_kernel, false); |
| GCScheduler::get().memory_barrier(); |
| GCScheduler::get().dispatch(_norm_kernel); |
| } |