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/*
* 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 *a{ nullptr };
const ICLTensor *b{ nullptr };
const ICLTensor *c{ nullptr };
ICLTensor *dst{ nullptr };
std::unique_ptr<OperatorType> op{ nullptr };
MemoryGroup memory_group{};
IWeightsManager *weights_manager{ nullptr };
CLTensor weights_transformed{};
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->a = a;
_impl->b = b;
_impl->c = c;
_impl->dst = output;
_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, _impl->a);
_impl->run_pack.add_tensor(ACL_DST, _impl->dst);
}
else
{
_impl->run_pack = { { ACL_SRC_0, _impl->a }, { ACL_SRC_2, _impl->c }, { ACL_DST, _impl->dst } };
_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);
ARM_COMPUTE_ERROR_ON_NULLPTR(_impl->a, _impl->b, _impl->dst);
_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
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