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authorMichalis Spyrou <michalis.spyrou@arm.com>2017-10-09 15:46:30 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commita4a96015a6c7d92bed08f82db9b36e1d34f9386d (patch)
tree45d4983ed404240f4df799f08bbec06137d7bb65
parent04065bebf72310a3fa3eb2198e61c88aa87faf0d (diff)
downloadComputeLibrary-a4a96015a6c7d92bed08f82db9b36e1d34f9386d.tar.gz
COMPMID-554 Add Nodes
- BatchNormalization - L2Normalize - Floor Change-Id: I03e06dea30e956f56a86f9c5642cd609c6696ad2 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/91364 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
-rw-r--r--arm_compute/graph/Nodes.h3
-rw-r--r--arm_compute/graph/nodes/BatchNormalizationLayer.h66
-rw-r--r--arm_compute/graph/nodes/FloorLayer.h45
-rw-r--r--arm_compute/graph/nodes/L2NormalizeLayer.h59
-rw-r--r--src/core/CL/kernels/CLFloorKernel.cpp6
-rw-r--r--src/core/NEON/kernels/NEFloorKernel.cpp6
-rw-r--r--src/graph/nodes/BatchNormalizationLayer.cpp110
-rw-r--r--src/graph/nodes/FloorLayer.cpp87
-rw-r--r--src/graph/nodes/L2NormalizeLayer.cpp89
9 files changed, 463 insertions, 8 deletions
diff --git a/arm_compute/graph/Nodes.h b/arm_compute/graph/Nodes.h
index b879aa1d09..548deabeb6 100644
--- a/arm_compute/graph/Nodes.h
+++ b/arm_compute/graph/Nodes.h
@@ -25,8 +25,11 @@
#define __ARM_COMPUTE_GRAPH_NODES_H__
#include "arm_compute/graph/nodes/ActivationLayer.h"
+#include "arm_compute/graph/nodes/BatchNormalizationLayer.h"
#include "arm_compute/graph/nodes/ConvolutionLayer.h"
+#include "arm_compute/graph/nodes/FloorLayer.h"
#include "arm_compute/graph/nodes/FullyConnectedLayer.h"
+#include "arm_compute/graph/nodes/L2NormalizeLayer.h"
#include "arm_compute/graph/nodes/NormalizationLayer.h"
#include "arm_compute/graph/nodes/PoolingLayer.h"
#include "arm_compute/graph/nodes/SoftmaxLayer.h"
diff --git a/arm_compute/graph/nodes/BatchNormalizationLayer.h b/arm_compute/graph/nodes/BatchNormalizationLayer.h
new file mode 100644
index 0000000000..f01cac2361
--- /dev/null
+++ b/arm_compute/graph/nodes/BatchNormalizationLayer.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) 2017 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.
+ */
+#ifndef __ARM_COMPUTE_GRAPH_BATCHNORMALIZATION_LAYER_H__
+#define __ARM_COMPUTE_GRAPH_BATCHNORMALIZATION_LAYER_H__
+
+#include "arm_compute/graph/GraphContext.h"
+#include "arm_compute/graph/INode.h"
+#include "arm_compute/graph/Tensor.h"
+#include "arm_compute/graph/Types.h"
+
+namespace arm_compute
+{
+namespace graph
+{
+/** BatchNormalization layer node */
+class BatchNormalizationLayer final : public INode
+{
+public:
+ /** Default constructor
+ *
+ * @param[in] mean Mean values tensor
+ * @param[in] var Var values tensor
+ * @param[in] gamma Gamma values tensor
+ * @param[in] beta Beta values tensor
+ * @param[in] epsilon Epsilon value
+ */
+ template <typename AccessorType>
+ BatchNormalizationLayer(AccessorType &&mean, AccessorType &&var, AccessorType &&gamma, AccessorType &&beta, float epsilon)
+ : _mean(std::move(mean)), _var(std::move(var)), _gamma(std::move(gamma)), _beta(std::move(beta)), _epsilon(epsilon)
+ {
+ }
+
+ // Inherited methods overriden:
+ std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) override;
+
+private:
+ Tensor _mean;
+ Tensor _var;
+ Tensor _gamma;
+ Tensor _beta;
+ float _epsilon;
+};
+} // namespace graph
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_GRAPH_BATCHNORMALIZATION_LAYER_H__ */
diff --git a/arm_compute/graph/nodes/FloorLayer.h b/arm_compute/graph/nodes/FloorLayer.h
new file mode 100644
index 0000000000..40fde3b791
--- /dev/null
+++ b/arm_compute/graph/nodes/FloorLayer.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2017 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.
+ */
+#ifndef __ARM_COMPUTE_GRAPH_FLOOR_LAYER_H__
+#define __ARM_COMPUTE_GRAPH_FLOOR_LAYER_H__
+
+#include "arm_compute/graph/GraphContext.h"
+#include "arm_compute/graph/INode.h"
+#include "arm_compute/graph/Tensor.h"
+#include "arm_compute/graph/Types.h"
+namespace arm_compute
+{
+namespace graph
+{
+/** Floor layer node */
+class FloorLayer : public INode
+{
+public:
+ // Inherited methods overriden:
+ std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) override;
+};
+
+} // namespace graph
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_GRAPH_FLOOR_LAYER_H__ */
diff --git a/arm_compute/graph/nodes/L2NormalizeLayer.h b/arm_compute/graph/nodes/L2NormalizeLayer.h
new file mode 100644
index 0000000000..ab333a221c
--- /dev/null
+++ b/arm_compute/graph/nodes/L2NormalizeLayer.h
@@ -0,0 +1,59 @@
+/*
+ * Copyright (c) 2017 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.
+ */
+#ifndef __ARM_COMPUTE_GRAPH_L2NORMALIZE_LAYER_H__
+#define __ARM_COMPUTE_GRAPH_L2NORMALIZE_LAYER_H__
+
+#include "arm_compute/graph/GraphContext.h"
+#include "arm_compute/graph/INode.h"
+#include "arm_compute/graph/Tensor.h"
+#include "arm_compute/graph/Types.h"
+
+namespace arm_compute
+{
+namespace graph
+{
+/** L2Normalize layer node */
+class L2NormalizeLayer final : public INode
+{
+public:
+ /** Default Constructor
+ *
+ * @param[in] axis Dimension along which to reduce.
+ * @param[in] epsilon Lower bound value for the normalization.
+ */
+ explicit L2NormalizeLayer(unsigned int axis, float epsilon)
+ : _axis(axis), _epsilon(epsilon)
+ {
+ }
+
+ // Inherited methods overriden:
+ std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) override;
+
+private:
+ unsigned int _axis;
+ float _epsilon;
+};
+} // namespace graph
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_GRAPH_L2NORMALIZE_LAYER_H__ */
diff --git a/src/core/CL/kernels/CLFloorKernel.cpp b/src/core/CL/kernels/CLFloorKernel.cpp
index 6c9f83f166..11f8e33319 100644
--- a/src/core/CL/kernels/CLFloorKernel.cpp
+++ b/src/core/CL/kernels/CLFloorKernel.cpp
@@ -44,10 +44,8 @@ void CLFloorKernel::configure(const ICLTensor *input, ICLTensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- set_shape_if_empty(*output->info(), input->info()->tensor_shape());
-
- set_data_type_if_unknown(*input->info(), DataType::F32);
- set_data_type_if_unknown(*output->info(), DataType::F32);
+ // Auto initialize output
+ auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
diff --git a/src/core/NEON/kernels/NEFloorKernel.cpp b/src/core/NEON/kernels/NEFloorKernel.cpp
index dd85ac1fd6..72b652d5dc 100644
--- a/src/core/NEON/kernels/NEFloorKernel.cpp
+++ b/src/core/NEON/kernels/NEFloorKernel.cpp
@@ -39,10 +39,8 @@ void NEFloorKernel::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- set_shape_if_empty(*output->info(), input->info()->tensor_shape());
-
- set_data_type_if_unknown(*input->info(), DataType::F32);
- set_data_type_if_unknown(*output->info(), DataType::F32);
+ // Auto initialize output
+ auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
diff --git a/src/graph/nodes/BatchNormalizationLayer.cpp b/src/graph/nodes/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000000..a6a990fd3f
--- /dev/null
+++ b/src/graph/nodes/BatchNormalizationLayer.cpp
@@ -0,0 +1,110 @@
+/*
+ * Copyright (c) 2017 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/graph/nodes/BatchNormalizationLayer.h"
+
+#include "arm_compute/core/Logger.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename BatchBatchNormalizationLayer, typename TensorType, TargetHint target_hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, Tensor &mean, Tensor &var, Tensor &beta, Tensor &gamma, float epsilon)
+{
+ auto norm = arm_compute::support::cpp14::make_unique<BatchBatchNormalizationLayer>();
+ norm->configure(
+ dynamic_cast<TensorType *>(input),
+ dynamic_cast<TensorType *>(output),
+ dynamic_cast<TensorType *>(mean.set_target(target_hint)),
+ dynamic_cast<TensorType *>(var.set_target(target_hint)),
+ dynamic_cast<TensorType *>(beta.set_target(target_hint)),
+ dynamic_cast<TensorType *>(gamma.set_target(target_hint)),
+ epsilon);
+
+ return std::move(norm);
+}
+
+template <TargetHint target_hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, Tensor &mean, Tensor &var, Tensor &beta, Tensor &gamma, float epsilon);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output, Tensor &mean, Tensor &var, Tensor &beta, Tensor &gamma, float epsilon)
+{
+ return instantiate_function<arm_compute::CLBatchNormalizationLayer, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output, mean, var, beta, gamma, epsilon);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output, Tensor &mean, Tensor &var, Tensor &beta, Tensor &gamma, float epsilon)
+{
+ return instantiate_function<arm_compute::NEBatchNormalizationLayer, arm_compute::ITensor, TargetHint::NEON>(input, output, mean, var, beta, gamma, epsilon);
+}
+} // namespace
+
+std::unique_ptr<arm_compute::IFunction> BatchNormalizationLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output)
+{
+ std::unique_ptr<arm_compute::IFunction> func;
+ _target_hint = ctx.hints().target_hint();
+
+ unsigned int batch_norm_size = input->info()->dimension(2);
+ if(_mean.tensor() == nullptr)
+ {
+ _mean.set_info(TensorInfo(TensorShape(batch_norm_size), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()));
+ }
+ if(_var.tensor() == nullptr)
+ {
+ _var.set_info(TensorInfo(TensorShape(batch_norm_size), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()));
+ }
+ if(_beta.tensor() == nullptr)
+ {
+ _beta.set_info(TensorInfo(TensorShape(batch_norm_size), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()));
+ }
+ if(_gamma.tensor() == nullptr)
+ {
+ _gamma.set_info(TensorInfo(TensorShape(batch_norm_size), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()));
+ }
+
+ if(_target_hint == TargetHint::OPENCL)
+ {
+ func = instantiate<TargetHint::OPENCL>(input, output, _mean, _var, _beta, _gamma, _epsilon);
+ ARM_COMPUTE_LOG("Instantiating CLBatchNormalizationLayer");
+ }
+ else
+ {
+ func = instantiate<TargetHint::NEON>(input, output, _mean, _var, _beta, _gamma, _epsilon);
+ ARM_COMPUTE_LOG("Instantiating NEBatchNormalizationLayer");
+ }
+
+ ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << " Output shape: " << output->info()->tensor_shape()
+ << std::endl);
+
+ return func;
+} \ No newline at end of file
diff --git a/src/graph/nodes/FloorLayer.cpp b/src/graph/nodes/FloorLayer.cpp
new file mode 100644
index 0000000000..722cfdf609
--- /dev/null
+++ b/src/graph/nodes/FloorLayer.cpp
@@ -0,0 +1,87 @@
+/*
+ * Copyright (c) 2017 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/graph/nodes/FloorLayer.h"
+
+#include "arm_compute/core/Logger.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLFloor.h"
+#include "arm_compute/runtime/NEON/functions/NEFloor.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename FloorType, typename TensorType, TargetHint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output)
+{
+ auto floorlayer = arm_compute::support::cpp14::make_unique<FloorType>();
+ floorlayer->configure(
+ dynamic_cast<TensorType *>(input),
+ dynamic_cast<TensorType *>(output));
+
+ return std::move(floorlayer);
+}
+
+template <TargetHint target_hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output)
+{
+ return instantiate_function<arm_compute::CLFloor, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output)
+{
+ return instantiate_function<arm_compute::NEFloor, arm_compute::ITensor, TargetHint::NEON>(input, output);
+}
+} // namespace
+
+std::unique_ptr<arm_compute::IFunction> FloorLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output)
+{
+ std::unique_ptr<arm_compute::IFunction> func;
+ _target_hint = ctx.hints().target_hint();
+
+ if(_target_hint == TargetHint::OPENCL)
+ {
+ func = instantiate<TargetHint::OPENCL>(input, output);
+ ARM_COMPUTE_LOG("Instantiating CLFloorLayer");
+ }
+ else
+ {
+ func = instantiate<TargetHint::NEON>(input, output);
+ ARM_COMPUTE_LOG("Instantiating NEFloorLayer");
+ }
+
+ ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << " Output shape: " << output->info()->tensor_shape()
+ << std::endl);
+
+ return func;
+}
diff --git a/src/graph/nodes/L2NormalizeLayer.cpp b/src/graph/nodes/L2NormalizeLayer.cpp
new file mode 100644
index 0000000000..46d1552733
--- /dev/null
+++ b/src/graph/nodes/L2NormalizeLayer.cpp
@@ -0,0 +1,89 @@
+/*
+ * Copyright (c) 2017 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/graph/nodes/L2NormalizeLayer.h"
+
+#include "arm_compute/core/Logger.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLL2Normalize.h"
+#include "arm_compute/runtime/NEON/functions/NEL2Normalize.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename L2NormalizeType, typename TensorType, TargetHint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, unsigned int axis, float epsilon)
+{
+ auto l2norm = arm_compute::support::cpp14::make_unique<L2NormalizeType>();
+ l2norm->configure(
+ dynamic_cast<TensorType *>(input),
+ dynamic_cast<TensorType *>(output),
+ axis,
+ epsilon);
+
+ return std::move(l2norm);
+}
+
+template <TargetHint target_hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, unsigned int axis, float epsilon);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output, unsigned int axis, float epsilon)
+{
+ return instantiate_function<arm_compute::CLL2Normalize, arm_compute::ICLTensor, TargetHint::OPENCL>(input, output, axis, epsilon);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output, unsigned int axis, float epsilon)
+{
+ return instantiate_function<arm_compute::NEL2Normalize, arm_compute::ITensor, TargetHint::NEON>(input, output, axis, epsilon);
+}
+} // namespace
+
+std::unique_ptr<arm_compute::IFunction> L2NormalizeLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output)
+{
+ std::unique_ptr<arm_compute::IFunction> func;
+ _target_hint = ctx.hints().target_hint();
+
+ if(_target_hint == TargetHint::OPENCL)
+ {
+ func = instantiate<TargetHint::OPENCL>(input, output, _axis, _epsilon);
+ ARM_COMPUTE_LOG("Instantiating CLL2NormalizeLayer");
+ }
+ else
+ {
+ func = instantiate<TargetHint::NEON>(input, output, _axis, _epsilon);
+ ARM_COMPUTE_LOG("Instantiating NEL2NormalizeLayer");
+ }
+
+ ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << " Output shape: " << output->info()->tensor_shape()
+ << std::endl);
+
+ return func;
+}