Add ConstTensorsAsInput support for Conv3d

 * Constant weights and biases are now stored as Constant layers.
 * Updated Serializer, Deserializer and unit tests to reflect this.
 * Updated TfLiteParser.
 * Updated Ref backend to handle constant weights and
   bias as inputs rather than reading from member variables.
 * Added Conv3d EndToEnd test.
 * Added NCDHW DataLayout and unit tests.

Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e

1 files changed, 0 insertions, 10 deletions

diff --git a/src/armnn/layers/Convolution3dLayer.hpp b/src/armnn/layers/Convolution3dLayer.hpp
index bef5715098..7cbd6428dc 100644
--- a/src/armnn/layers/Convolution3dLayer.hpp
+++ b/src/armnn/layers/Convolution3dLayer.hpp
@@ -16,12 +16,6 @@ class ScopedTensorHandle;
 class Convolution3dLayer : public LayerWithParameters<Convolution3dDescriptor>
 {
 public:
-
-    /// A unique pointer to store Weight values.
-    std::shared_ptr<ConstTensorHandle> m_Weight;
-    /// A unique pointer to store Bias values.
-    std::shared_ptr<ConstTensorHandle> m_Bias;
-
     /// Makes a workload for the Convolution3d type.
     /// @param [in] graph The graph where this layer can be found.
     /// @param [in] factory The workload factory which will create the workload.
@@ -59,10 +53,6 @@ protected:
 
     /// Default destructor
     ~Convolution3dLayer() = 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;
 };
 
 } // namespace