IVGCVSW-6124 ConstTensorsAsInput: Conv2d - FrontEnd

 * Update Front-end and Tools.
 * Updated Serializer, Deserializer and unit tests to reflect this.
 * Updated TfLiteDelegate, TfLiteParser and OnnxParser.
 * Updated Ref.
 * Fixed resulting Neon / CL tests
 * Unified optimizers for conv2d ops
 * Optimizer Fix - Fp32ToBf16
 * Partial implementation for ACL backends to fix VTS failures

!android-nn-driver:7477

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b

1 files changed, 10 insertions, 0 deletions

diff --git a/include/armnn/ILayerVisitor.hpp b/include/armnn/ILayerVisitor.hpp
index d5e3d11fbd..a0c782e66e 100644
--- a/include/armnn/ILayerVisitor.hpp
+++ b/include/armnn/ILayerVisitor.hpp
@@ -102,9 +102,19 @@ public:
     /// function is invoked.
     /// @param layer - pointer to the layer which is calling back to this visit function.
     /// @param convolution2dDescriptor - Description of the 2D convolution layer.
+    /// @param name - Optional name for the layer.
+    virtual void VisitConvolution2dLayer(const IConnectableLayer* layer,
+                                         const Convolution2dDescriptor& convolution2dDescriptor,
+                                         const char* name = nullptr) = 0;
+
+    /// Function that a 2D convolution layer should call back to when its Accept(ILayerVisitor&)
+    /// function is invoked.
+    /// @param layer - pointer to the layer which is calling back to this visit function.
+    /// @param convolution2dDescriptor - Description of the 2D convolution layer.
     /// @param weights - Tensor for the weights data.
     /// @param biases - Optional tensor for the bias data. If specified, must match the output tensor shape.
     /// @param name - Optional name for the layer.
+    ARMNN_DEPRECATED_MSG("Use VisitConvolution2dLayer without ConstTensors")
     virtual void VisitConvolution2dLayer(const IConnectableLayer* layer,
                                          const Convolution2dDescriptor& convolution2dDescriptor,
                                          const ConstTensor& weights,