Release 18.05

1 files changed, 60 insertions, 0 deletions

diff --git a/src/armnn/layers/BatchNormalizationLayer.cpp b/src/armnn/layers/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000000..ebb8954ea7
--- /dev/null
+++ b/src/armnn/layers/BatchNormalizationLayer.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "BatchNormalizationLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+BatchNormalizationLayer::BatchNormalizationLayer(const armnn::BatchNormalizationDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::BatchNormalization, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> BatchNormalizationLayer::CreateWorkload(const Graph& graph,
+                                                                   const IWorkloadFactory& factory) const
+{
+    BatchNormalizationQueueDescriptor descriptor;
+
+    descriptor.m_Mean = m_Mean.get();
+    descriptor.m_Variance = m_Variance.get();
+    descriptor.m_Beta = m_Beta.get();
+    descriptor.m_Gamma = m_Gamma.get();
+    return factory.CreateBatchNormalization(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+BatchNormalizationLayer* BatchNormalizationLayer::Clone(Graph& graph) const
+{
+    auto layer = CloneBase<BatchNormalizationLayer>(graph, m_Param, GetName());
+
+    layer->m_Mean = m_Mean ? std::make_unique<ScopedCpuTensorHandle>(*m_Mean) : nullptr;
+    layer->m_Variance = m_Variance ? std::make_unique<ScopedCpuTensorHandle>(*m_Variance) : nullptr;
+    layer->m_Beta = m_Beta ? std::make_unique<ScopedCpuTensorHandle>(*m_Beta) : nullptr;
+    layer->m_Gamma = m_Gamma ? std::make_unique<ScopedCpuTensorHandle>(*m_Gamma) : nullptr;
+
+    return std::move(layer);
+}
+
+void BatchNormalizationLayer::ValidateTensorShapesFromInputs()
+{
+    ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
+                     "BatchNormalizationLayer: InputSlot must be connected to an OutputSlot");
+    ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
+                     "BatchNormalizationLayer: TensorInfo must be set on connected OutputSlot.");
+
+    auto& info = GetInputSlot(0).GetConnection()->GetTensorInfo();
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "BatchNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        info.GetShape());
+}
+
+} // namespace armnn