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path: root/src/runtime/NEON/functions/NEConcatenateLayer.cpp
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Diffstat (limited to 'src/runtime/NEON/functions/NEConcatenateLayer.cpp')
-rw-r--r--src/runtime/NEON/functions/NEConcatenateLayer.cpp30
1 files changed, 15 insertions, 15 deletions
diff --git a/src/runtime/NEON/functions/NEConcatenateLayer.cpp b/src/runtime/NEON/functions/NEConcatenateLayer.cpp
index dcc5cd3a64..59a0892f1f 100644
--- a/src/runtime/NEON/functions/NEConcatenateLayer.cpp
+++ b/src/runtime/NEON/functions/NEConcatenateLayer.cpp
@@ -23,33 +23,31 @@
*/
#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
-#include "src/runtime/cpu/operators/CpuConcatenate.h"
-
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-
#include "arm_compute/core/Error.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+
#include "src/core/helpers/AutoConfiguration.h"
+#include "src/cpu/operators/CpuConcatenate.h"
namespace arm_compute
{
struct NEConcatenateLayer::Impl
{
std::vector<const ITensor *> srcs{};
- ITensor *dst{ nullptr };
- unsigned int num_inputs{ 0 };
- unsigned int axis{ 0 };
- std::unique_ptr<cpu::CpuConcatenate> op{ nullptr };
+ ITensor *dst{nullptr};
+ unsigned int num_inputs{0};
+ unsigned int axis{0};
+ std::unique_ptr<cpu::CpuConcatenate> op{nullptr};
};
-NEConcatenateLayer::NEConcatenateLayer()
- : _impl(std::make_unique<Impl>())
+NEConcatenateLayer::NEConcatenateLayer() : _impl(std::make_unique<Impl>())
{
}
-NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&) = default;
+NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&) = default;
NEConcatenateLayer &NEConcatenateLayer::operator=(NEConcatenateLayer &&) = default;
NEConcatenateLayer::~NEConcatenateLayer() = default;
@@ -64,7 +62,7 @@ void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, I
_impl->op = std::make_unique<cpu::CpuConcatenate>();
std::vector<const ITensorInfo *> inputs_vector_info;
- for(unsigned int i = 0; i < inputs_vector.size(); ++i)
+ for (unsigned int i = 0; i < inputs_vector.size(); ++i)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(inputs_vector.at(i));
inputs_vector_info.emplace_back(inputs_vector.at(i)->info());
@@ -72,7 +70,9 @@ void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, I
_impl->op->configure(inputs_vector_info, _impl->dst->info(), axis);
}
-Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis)
+Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector,
+ const ITensorInfo *output,
+ size_t axis)
{
return cpu::CpuConcatenate::validate(inputs_vector, output, axis);
}
@@ -80,7 +80,7 @@ Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inpu
void NEConcatenateLayer::run()
{
ITensorPack pack;
- for(unsigned i = 0; i < _impl->num_inputs; ++i)
+ for (unsigned i = 0; i < _impl->num_inputs; ++i)
{
pack.add_tensor(TensorType::ACL_SRC_VEC + i, _impl->srcs.at(i));
}