commit b4dd5cc86d4eb841de670f0f102ede599e0d9c40
author Keith Davis <keith.davis@arm.com> Thu Apr 07 11:32:00 2022 +0100
committer Keith Davis <keith.davis@arm.com> Mon May 16 16:08:54 2022 +0100
tree 77857cf739baecaf63701b66c1a2646b7930a834
parent b86ec6641b4b06ccddad5eebbc21010d6184fe79

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

src/armnnSerializer/Serializer.cpp

diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index 99d1c2b..488dac6 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -347,13 +347,10 @@
 // Build FlatBuffer for Convolution2dLayer
 void SerializerStrategy::SerializeConvolution2dLayer(const armnn::IConnectableLayer* layer,
                                                      const armnn::Convolution2dDescriptor& descriptor,
-                                                     const std::vector<armnn::ConstTensor>& constants,
                                                      const char* name)
 {
     IgnoreUnused(name);
 
-    const armnn::ConstTensor weights = constants[0];
-
     // Create FlatBuffer BaseLayer
     auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);
 
@@ -368,21 +365,11 @@
                                                               descriptor.m_DilationY,
                                                               descriptor.m_BiasEnabled,
                                                               GetFlatBufferDataLayout(descriptor.m_DataLayout));
-    auto flatBufferWeightsConstTensorInfo = CreateConstTensorInfo(weights);
-    flatbuffers::Offset<serializer::ConstTensor> flatBufferBiasesConstTensorInfo;
-
-    if (constants.size() > 1)
-    {
-        const armnn::ConstTensor biases = constants[1];
-        flatBufferBiasesConstTensorInfo = CreateConstTensorInfo(biases);
-    }
 
     // Create the FlatBuffer Convolution2dLayer
     auto flatBufferLayer = CreateConvolution2dLayer(m_flatBufferBuilder,
                                                     flatBufferBaseLayer,
-                                                    flatBufferDescriptor,
-                                                    flatBufferWeightsConstTensorInfo,
-                                                    flatBufferBiasesConstTensorInfo);
+                                                    flatBufferDescriptor);
 
     // Add the AnyLayer to the FlatBufferLayers
     CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer);
@@ -2048,7 +2035,6 @@
                     static_cast<const armnn::Convolution2dDescriptor&>(descriptor);
             SerializeConvolution2dLayer(layer,
                                         layerDescriptor,
-                                        constants,
                                         name);
             break;
         }