| /* |
| * Copyright (c) 2017-2023 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 "arm_compute/runtime/NEON/functions/NEGEMM.h" |
| |
| #include "arm_compute/core/ITensorPack.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/MemoryHelpers.h" |
| #include "src/cpu/operators/CpuGemm.h" |
| |
| using namespace arm_compute::experimental; |
| |
| namespace arm_compute |
| { |
| struct NEGEMM::Impl |
| { |
| MemoryGroup memory_group{}; |
| IWeightsManager *weights_manager{ nullptr }; |
| |
| std::unique_ptr<cpu::CpuGemm> op{ nullptr }; |
| |
| const ITensor *original_b{ nullptr }; |
| bool is_prepared{ false }; |
| |
| ITensorPack run_pack{}; |
| ITensorPack prep_pack{}; |
| WorkspaceData<Tensor> workspace{}; |
| experimental::MemoryRequirements aux_mem_req{}; |
| }; |
| |
| NEGEMM::NEGEMM(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager) |
| : _impl(std::make_unique<Impl>()) |
| { |
| _impl->memory_group = MemoryGroup(std::move(memory_manager)); |
| _impl->weights_manager = weights_manager; |
| } |
| |
| NEGEMM::~NEGEMM() = default; |
| |
| void NEGEMM::configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, d); |
| ARM_COMPUTE_ERROR_THROW_ON(cpu::CpuGemm::validate(a->info(), b->info(), (c != nullptr) ? c->info() : nullptr, d->info(), alpha, beta, gemm_info)); |
| |
| // Check if we need to reshape the matrix B only on the first run |
| _impl->is_prepared = false; |
| _impl->original_b = b; |
| _impl->op = std::make_unique<cpu::CpuGemm>(); |
| |
| // Make the B matrix dynamic values. |
| auto b_info_to_use = b->info()->clone(); |
| if(!gemm_info.reshape_b_only_on_first_run()) |
| { |
| b_info_to_use->set_are_values_constant(false); |
| } |
| |
| _impl->op->configure(a->info(), b_info_to_use.get(), (c != nullptr) ? c->info() : nullptr, d->info(), alpha, beta, gemm_info); |
| |
| _impl->aux_mem_req = _impl->op->workspace(); |
| _impl->run_pack = { { ACL_SRC_0, a }, { ACL_SRC_1, b }, { ACL_SRC_2, c }, { ACL_DST, d } }; |
| _impl->prep_pack = { { ACL_SRC_1, b }, { ACL_SRC_2, c } }; |
| _impl->workspace = manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->prep_pack); |
| } |
| |
| Status NEGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| // Make the B matrix dynamic values. |
| auto b_to_use = b->clone(); |
| if(!gemm_info.reshape_b_only_on_first_run()) |
| { |
| b_to_use->set_are_values_constant(false); |
| } |
| |
| return cpu::CpuGemm::validate(a, b_to_use.get(), c, output, alpha, beta, gemm_info); |
| } |
| |
| Status NEGEMM::has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, |
| float alpha, float beta, const GEMMInfo &gemm_info) |
| { |
| ARM_COMPUTE_UNUSED(alpha, beta); |
| return cpu::CpuGemm::has_opt_impl(expected_weight_format, a, b, c, output, gemm_info); |
| } |
| |
| void NEGEMM::run() |
| { |
| prepare(); |
| |
| MemoryGroupResourceScope scope_mg(_impl->memory_group); |
| _impl->op->run(_impl->run_pack); |
| } |
| |
| void NEGEMM::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->original_b->mark_as_unused(); |
| } |
| else |
| { |
| _impl->run_pack.add_const_tensor(ACL_SRC_1, _impl->original_b); |
| } |
| |
| // Release temporary tensors that are only used in prepare stage |
| release_temporaries<Tensor>(_impl->aux_mem_req, _impl->workspace); |
| _impl->is_prepared = true; |
| } |
| } |
| } // namespace arm_compute |