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authorConor Kennedy <conor.kennedy@arm.com>2018-12-21 14:38:36 +0000
committerLes Bell <les.bell@arm.com>2018-12-24 09:33:39 +0000
commit35052ae3f44d24cd71f437a2011c5032d34c94a7 (patch)
tree21cdc0f077606f80713f75c6eaeace2adcd4bb20 /src/armnn/layers/BatchNormalizationLayer.hpp
parenta06bf31afabfb84e60740ea3219406ab13c8e6a6 (diff)
downloadarmnn-35052ae3f44d24cd71f437a2011c5032d34c94a7.tar.gz
IVGCVSW-59 Add documentation to the public API
* Add documentation to the Descriptors * Add documentation to the layers Change-Id: I5e0849753903565227fd47d329a600fd90b2feb9
Diffstat (limited to 'src/armnn/layers/BatchNormalizationLayer.hpp')
-rw-r--r--src/armnn/layers/BatchNormalizationLayer.hpp20
1 files changed, 20 insertions, 0 deletions
diff --git a/src/armnn/layers/BatchNormalizationLayer.hpp b/src/armnn/layers/BatchNormalizationLayer.hpp
index 9ed15bebbf..02d8456a67 100644
--- a/src/armnn/layers/BatchNormalizationLayer.hpp
+++ b/src/armnn/layers/BatchNormalizationLayer.hpp
@@ -11,25 +11,45 @@ namespace armnn
class ScopedCpuTensorHandle;
+/// This layer represents a batch normalization operation.
class BatchNormalizationLayer : public LayerWithParameters<BatchNormalizationDescriptor>
{
public:
+ /// A unique pointer to store Mean values
std::unique_ptr<ScopedCpuTensorHandle> m_Mean;
+ /// A unique pointer to store Variance values
std::unique_ptr<ScopedCpuTensorHandle> m_Variance;
+ /// A unique pointer to store Beta values
std::unique_ptr<ScopedCpuTensorHandle> m_Beta;
+ /// A unique pointer to store Gamma values
std::unique_ptr<ScopedCpuTensorHandle> m_Gamma;
+ /// Makes a workload for the BatchNormalization type.
+ /// @param [in] graph The graph where this layer can be found.
+ /// @param [in] factory The workload factory which will create the workload.
+ /// @return A pointer to the created workload, or nullptr if not created.
virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const override;
+ /// Creates a dynamically-allocated copy of this layer.
+ /// @param [in] graph The graph into which this layer is being cloned.
BatchNormalizationLayer* Clone(Graph& graph) const override;
+ /// Check if the input tensor shape(s)
+ /// will lead to a valid configuration of @ref BatchNormalizationLayer.
void ValidateTensorShapesFromInputs() override;
protected:
+ /// Constructor to create a BatchNormalizationLayer.
+ /// @param [in] param BatchNormalizationDescriptor to configure the batch normalization operation.
+ /// @param [in] name Optional name for the layer.
BatchNormalizationLayer(const BatchNormalizationDescriptor& param, const char* name);
+
+ /// Default destructor
~BatchNormalizationLayer() = default;
+ /// Retrieve the handles to the constant values stored by the layer.
+ /// @return A vector of the constant tensors stored by this layer.
ConstantTensors GetConstantTensorsByRef() override;
};