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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/PermuteLayer.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/PermuteLayer.hpp')
-rw-r--r--src/armnn/layers/PermuteLayer.hpp26
1 files changed, 26 insertions, 0 deletions
diff --git a/src/armnn/layers/PermuteLayer.hpp b/src/armnn/layers/PermuteLayer.hpp
index a32307dc10..e1f391a2ff 100644
--- a/src/armnn/layers/PermuteLayer.hpp
+++ b/src/armnn/layers/PermuteLayer.hpp
@@ -9,28 +9,49 @@
namespace armnn
{
+/// This layer represents a permutation operation.
class PermuteLayer : public LayerWithParameters<PermuteDescriptor>
{
public:
+ /// Makes a workload for the Permute 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.
PermuteLayer* Clone(Graph& graph) const override;
+ /// Check if the input tensor shape(s)
+ /// will lead to a valid configuration of @ref PermuteLayer.
void ValidateTensorShapesFromInputs() override;
+
+ /// By default returns inputShapes if the number of inputs are equal to number of outputs,
+ /// otherwise infers the output shapes from given input shapes and layer properties.
+ /// @param [in] inputShapes The input shapes layer has.
+ /// @return A vector to the inferred output shape.
std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+ /// @return a permutation vector represents the memory layout of the tensor elements.
const PermutationVector& GetPermutation() const
{
return m_Param.m_DimMappings;
}
+ /// Indicates if the other layer received is inverse of this one.
+ /// @param other The other layer to be compared with.
+ /// @return true if other layer is inverse of this false otherwise.
bool IsInverse(const Layer& other) const
{
return (other.GetType() == LayerType::Permute) &&
GetPermutation().IsInverse(boost::polymorphic_downcast<const PermuteLayer*>(&other)->GetPermutation());
}
+ /// Indicates if the other layer received is equal to this one.
+ /// @param other The other layer to be compare with.
+ /// @return true if other layer is equal to this false otherwise.
bool IsEqual(const Layer& other) const
{
return (other.GetType() == LayerType::Permute) &&
@@ -38,7 +59,12 @@ public:
}
protected:
+ /// Constructor to create a PermuteLayer.
+ /// @param [in] param PermuteDescriptor to configure the permute operation.
+ /// @param [in] name Optional name for the layer.
PermuteLayer(const PermuteDescriptor& param, const char* name);
+
+ /// Default destructor
~PermuteLayer() = default;
};