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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /src/runtime/CL/functions/CLGEMM.cpp
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz
Apply clang-format on repository
Code is formatted as per a revised clang format configuration file(not part of this delivery). Version 14.0.6 is used. Exclusion List: - files with .cl extension - files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...) And the following directories - compute_kernel_writer/validation/ - tests/ - include/ - src/core/NEON/kernels/convolution/ - src/core/NEON/kernels/arm_gemm/ - src/core/NEON/kernels/arm_conv/ - data/ There will be a follow up for formatting of .cl files and the files under tests/ and compute_kernel_writer/validation/. Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLGEMM.cpp')
-rw-r--r--src/runtime/CL/functions/CLGEMM.cpp56
1 files changed, 39 insertions, 17 deletions
diff --git a/src/runtime/CL/functions/CLGEMM.cpp b/src/runtime/CL/functions/CLGEMM.cpp
index 427ea51ab9..871a1d6e27 100644
--- a/src/runtime/CL/functions/CLGEMM.cpp
+++ b/src/runtime/CL/functions/CLGEMM.cpp
@@ -30,6 +30,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Utils.h"
+
#include "src/core/helpers/MemoryHelpers.h"
#include "src/gpu/cl/operators/ClGemm.h"
@@ -40,15 +41,15 @@ using OperatorType = opencl::ClGemm;
struct CLGEMM::Impl
{
- const ICLTensor *b{ nullptr };
- std::unique_ptr<OperatorType> op{ nullptr };
+ const ICLTensor *b{nullptr};
+ std::unique_ptr<OperatorType> op{nullptr};
MemoryGroup memory_group{};
- IWeightsManager *weights_manager{ nullptr };
+ IWeightsManager *weights_manager{nullptr};
ITensorPack run_pack{};
ITensorPack prep_pack{};
MemoryRequirements aux_mem_req{};
WorkspaceData<CLTensor> workspace_tensors{};
- bool is_prepared{ false };
+ bool is_prepared{false};
};
CLGEMM::CLGEMM(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager)
@@ -60,12 +61,25 @@ CLGEMM::CLGEMM(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *
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)
+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)
+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);
@@ -73,25 +87,33 @@ void CLGEMM::configure(const CLCompileContext &compile_context, const ICLTensor
_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->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)
+ 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->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);
+ _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)
+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);
}
@@ -107,15 +129,15 @@ void CLGEMM::run()
void CLGEMM::prepare()
{
- if(!_impl->is_prepared)
+ 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; });
+ 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))
+ if (has_reshape != std::end(_impl->aux_mem_req))
{
_impl->b->mark_as_unused();
}