| /* |
| * Copyright (c) 2017-2021 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/CLGEMM.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/KernelDescriptors.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMM.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/runtime/gpu/cl/operators/ClGemm.h" |
| |
| namespace arm_compute |
| { |
| using namespace arm_compute::experimental; |
| using OperatorType = opencl::ClGemm; |
| |
| struct CLGEMM::Impl |
| { |
| const ICLTensor *b{ nullptr }; |
| std::unique_ptr<OperatorType> op{ nullptr }; |
| MemoryGroup memory_group{}; |
| IWeightsManager *weights_manager{ nullptr }; |
| ITensorPack run_pack{}; |
| ITensorPack prep_pack{}; |
| MemoryRequirements aux_mem_req{}; |
| WorkspaceData<CLTensor> workspace_tensors{}; |
| bool is_prepared{ false }; |
| }; |
| |
| CLGEMM::CLGEMM(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->memory_group = MemoryGroup(memory_manager); |
| _impl->weights_manager = weights_manager; |
| } |
| |
| CLGEMM::~CLGEMM() = default; |
| |
| void CLGEMM::configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), a, b, c, output, alpha, beta, gemm_info); |
| } |
| |
| void CLGEMM::configure(const CLCompileContext &compile_context, const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output); |
| |
| _impl->b = b; |
| _impl->op = std::make_unique<OperatorType>(); |
| _impl->is_prepared = gemm_info.retain_internal_weights(); |
| |
| _impl->op->configure(compile_context, a->info(), b->info(), c != nullptr ? c->info() : nullptr, output->info(), alpha, beta, gemm_info); |
| _impl->aux_mem_req = _impl->op->workspace(); |
| |
| // Manage/allocate auxilairy tensors |
| if(_impl->is_prepared) |
| { |
| _impl->run_pack.add_const_tensor(ACL_SRC_0, a); |
| _impl->run_pack.add_tensor(ACL_DST, output); |
| } |
| else |
| { |
| _impl->run_pack = { { ACL_SRC_0, a }, { ACL_SRC_2, c }, { ACL_DST, output } }; |
| _impl->prep_pack = { { ACL_SRC_1, _impl->b } }; |
| |
| _impl->workspace_tensors = manage_workspace<CLTensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack, _impl->prep_pack); |
| } |
| } |
| |
| Status CLGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| return OperatorType::validate(a, b, c, output, alpha, beta, gemm_info); |
| } |
| |
| void CLGEMM::run() |
| { |
| prepare(); |
| |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void CLGEMM::prepare() |
| { |
| if(!_impl->is_prepared) |
| { |
| _impl->op->prepare(_impl->prep_pack); |
| |
| auto has_reshape = std::find_if(_impl->aux_mem_req.begin(), |
| _impl->aux_mem_req.end(), |
| [](const MemoryInfo & m) -> bool { return m.lifetime == MemoryLifetime::Persistent; }); |
| |
| if(has_reshape != std::end(_impl->aux_mem_req)) |
| { |
| _impl->b->mark_as_unused(); |
| } |
| else |
| { |
| // Pack the B matrix to be used as the underlying GEMM performs no reshapes |
| _impl->run_pack.add_const_tensor(ACL_SRC_1, _impl->b); |
| } |
| _impl->is_prepared = true; |
| } |
| } |
| } // namespace arm_compute |