| /* |
| * Copyright (c) 2021, 2023 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 "src/gpu/cl/operators/ClSoftmax.h" |
| |
| #include "arm_compute/core/experimental/Types.h" |
| #include "arm_compute/core/ITensorPack.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| |
| #include "src/common/utils/Log.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/gpu/cl/kernels/ClSoftmaxKernel.h" |
| #include "src/gpu/cl/utils/ClAuxTensorHandler.h" |
| |
| using namespace arm_compute::experimental; |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| |
| ClSoftmax::ClSoftmax() : _aux_mem(InternalTensorIdx::COUNT) |
| { |
| } |
| |
| void ClSoftmax::configure(const CLCompileContext &compile_context, |
| const ITensorInfo &src, |
| ITensorInfo &dst, |
| const SoftmaxKernelInfo &info) |
| { |
| ARM_COMPUTE_LOG_PARAMS(src, dst, info); |
| |
| auto k = std::make_unique<kernels::ClSoftmaxKernel>(); |
| k->configure(compile_context, src, dst, info); |
| |
| _tmp_info = k->tmp_tensor_info(); |
| |
| _kernel = std::move(k); |
| |
| _aux_mem[InternalTensorIdx::TMP] = |
| MemoryInfo(offset_int_vec(InternalTensorIdx::TMP), MemoryLifetime::Temporary, _tmp_info.total_size()); |
| } |
| |
| Status ClSoftmax::validate(const ITensorInfo &src, const ITensorInfo &dst, const SoftmaxKernelInfo &info) |
| { |
| return kernels::ClSoftmaxKernel::validate(src, dst, info); |
| } |
| |
| void ClSoftmax::run(ITensorPack &tensors) |
| { |
| CLAuxTensorHandler tmp(offset_int_vec(InternalTensorIdx::TMP), _tmp_info, tensors); |
| |
| tensors.add_tensor(TensorType::ACL_INT_0, tmp.get()); |
| |
| CLScheduler::get().enqueue_op(*_kernel, tensors, false); |
| } |
| |
| experimental::MemoryRequirements ClSoftmax::workspace() const |
| { |
| return _aux_mem; |
| } |
| |
| } // namespace opencl |
| } // namespace arm_compute |