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authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-10-25 18:26:46 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit407c3e6e383affa7ebe72ce5f50fcf163ff037a3 (patch)
treec516e583fe0a2e5ee9dfc218fe10880000edcf91 /src/graph/nodes/NormalizationLayer.cpp
parente500747b5c1d27aeffae316c8190f6d169bb2fbd (diff)
downloadComputeLibrary-407c3e6e383affa7ebe72ce5f50fcf163ff037a3.tar.gz
COMPMID-630: Rework nodes
Reworked node: -BatchNormalization -Floor -FullyConncted -L2Normalize -Normalization -Pooling -Softmax Change-Id: I4c71cfffb1f59aac3326ba8b1f831339c5244394 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/93134 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/graph/nodes/NormalizationLayer.cpp')
-rw-r--r--src/graph/nodes/NormalizationLayer.cpp66
1 files changed, 11 insertions, 55 deletions
diff --git a/src/graph/nodes/NormalizationLayer.cpp b/src/graph/nodes/NormalizationLayer.cpp
index 680925a2b9..5036231a36 100644
--- a/src/graph/nodes/NormalizationLayer.cpp
+++ b/src/graph/nodes/NormalizationLayer.cpp
@@ -23,45 +23,12 @@
*/
#include "arm_compute/graph/nodes/NormalizationLayer.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h"
-#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
-#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/graph/NodeContext.h"
+#include "arm_compute/graph/OperationRegistry.h"
#include "support/ToolchainSupport.h"
-#include "utils/TypePrinter.h"
using namespace arm_compute::graph;
-namespace
-{
-template <typename NormalizationType, typename TensorType, TargetHint target_hint>
-std::unique_ptr<arm_compute::IFunction> instantiate_function(arm_compute::ITensor *input, arm_compute::ITensor *output, const NormalizationLayerInfo &norm_info)
-{
- auto norm = arm_compute::support::cpp14::make_unique<NormalizationType>();
- norm->configure(
- dynamic_cast<TensorType *>(input),
- dynamic_cast<TensorType *>(output),
- norm_info);
-
- return std::move(norm);
-}
-
-template <TargetHint target_hint>
-std::unique_ptr<arm_compute::IFunction> instantiate(arm_compute::ITensor *input, arm_compute::ITensor *output, const NormalizationLayerInfo &norm_info);
-
-template <>
-std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(arm_compute::ITensor *input, arm_compute::ITensor *output, const NormalizationLayerInfo &norm_info)
-{
- return instantiate_function<arm_compute::CLNormalizationLayer, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output, norm_info);
-}
-
-template <>
-std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(arm_compute::ITensor *input, arm_compute::ITensor *output, const NormalizationLayerInfo &norm_info)
-{
- return instantiate_function<arm_compute::NENormalizationLayer, arm_compute::ITensor, TargetHint::NEON>(input, output, norm_info);
-}
-} // namespace
-
NormalizationLayer::NormalizationLayer(const NormalizationLayerInfo norm_info)
: _norm_info(norm_info)
{
@@ -72,28 +39,17 @@ std::unique_ptr<arm_compute::IFunction> NormalizationLayer::instantiate_node(Gra
ARM_COMPUTE_ERROR_ON(input == nullptr || input->tensor() == nullptr);
ARM_COMPUTE_ERROR_ON(output == nullptr || output->tensor() == nullptr);
- std::unique_ptr<arm_compute::IFunction> func;
- _target_hint = ctx.hints().target_hint();
-
arm_compute::ITensor *in = input->tensor();
arm_compute::ITensor *out = output->tensor();
+ _target_hint = ctx.hints().target_hint();
- if(_target_hint == TargetHint::OPENCL)
- {
- func = instantiate<TargetHint::OPENCL>(in, out, _norm_info);
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLNormalizationLayer");
- }
- else
- {
- func = instantiate<TargetHint::NEON>(in, out, _norm_info);
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NENormalizationLayer");
- }
-
- ARM_COMPUTE_LOG_GRAPH_INFO(" Data Type: " << in->info()->data_type()
- << " Input shape: " << in->info()->tensor_shape()
- << " Output shape: " << out->info()->tensor_shape()
- << " Normalization info: " << _norm_info
- << std::endl);
+ // Create node context
+ NodeContext node_ctx(OperationType::NormalizationLayer);
+ node_ctx.set_target(_target_hint);
+ node_ctx.add_input(in);
+ node_ctx.add_output(out);
+ node_ctx.add_parameter<NormalizationLayerInfo>("NormalizationLayerInfo", _norm_info);
- return func;
+ // Get function
+ return OperationRegistry::get().find_operation(OperationType::NormalizationLayer, _target_hint)->configure(node_ctx);
}