IVGCVSW-2275 Remove swizzling from ParseResizeBilinear

Change-Id: I0d02faf188f441f017967057f16f4661d321978a

1 files changed, 3 insertions, 3 deletions

diff --git a/src/armnnTfParser/TfParser.cpp b/src/armnnTfParser/TfParser.cpp
index d5372a598b..0d425257e8 100644
--- a/src/armnnTfParser/TfParser.cpp
+++ b/src/armnnTfParser/TfParser.cpp
@@ -1949,6 +1949,7 @@ ParsedTfOperationPtr TfParser::ParseResizeBilinear(const tensorflow::NodeDef& no
     ResizeBilinearDescriptor desc;
     desc.m_TargetHeight = static_cast<uint32_t> (sizeTensorData[0]);
     desc.m_TargetWidth = static_cast<uint32_t> (sizeTensorData[1]);
+    desc.m_DataLayout = armnn::DataLayout::NHWC;
 
     IConnectableLayer* layer = m_Network->AddResizeBilinearLayer(desc, nodeDef.name().c_str());
 
@@ -1960,13 +1961,12 @@ ParsedTfOperationPtr TfParser::ParseResizeBilinear(const tensorflow::NodeDef& no
     unsigned int outChannels = inputTensorInfo.GetShape()[3];
     unsigned int outHeight = desc.m_TargetHeight;
     unsigned int outWidth = desc.m_TargetWidth;
-    TensorShape outShape({outBatch, outChannels, outHeight, outWidth});
+    TensorShape outShape({outBatch, outHeight, outWidth, outChannels });
     // The output DataType is always Float32, regardless of the input DataType.
     const TensorInfo outputTensorInfo(outShape, armnn::DataType::Float32);
     layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
 
-    // TensorFlow ResizeBilinear input is always in BHWC format, so add swizzle and deswizzle layers.
-    layer = SwizzleInDeswizzleOut(*m_Network, inputSlot, *layer, nodeDef.name());
+    inputSlot.Connect(layer->GetInputSlot(0));
 
     return std::make_unique<SingleLayerParsedTfOperation>(this, nodeDef, layer);
 }