commit 169d2f120cc9021f170fede22a448fd6b66fc979
author Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Mon Jul 01 19:01:44 2019 +0100
committer Áron Virginás-Tar <aron.virginas-tar@arm.com> Tue Jul 02 13:50:24 2019 +0000
tree a55b62678a85f63c074148d33fae744b22c834a8
parent 38e05bd2836b1b65b440330a9c283038ba4192c3

IVGCVSW-3382 Deprecate ResizeBilinear and use Resize with Bilinear method

!android-nn-driver:1451

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ieedbce1f6e95891137a250fdd07e2f7e4e1f4828

src/armnnTfParser/TfParser.cpp

diff --git a/src/armnnTfParser/TfParser.cpp b/src/armnnTfParser/TfParser.cpp
index 78f4790..39e6971 100755
--- a/src/armnnTfParser/TfParser.cpp
+++ b/src/armnnTfParser/TfParser.cpp
@@ -2255,12 +2255,13 @@
     ConstTensor sizeTensor = sizeNode->GetConstTensor(sizeTensorData);
 
     // The descriptor only has target height and width attributes, which we get from the size tensor.
-    ResizeBilinearDescriptor desc;
+    ResizeDescriptor desc;
+    desc.m_Method       = armnn::ResizeMethod::Bilinear;
     desc.m_TargetHeight = static_cast<uint32_t> (sizeTensorData[0]);
-    desc.m_TargetWidth = static_cast<uint32_t> (sizeTensorData[1]);
-    desc.m_DataLayout = armnn::DataLayout::NHWC;
+    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());
+    IConnectableLayer* layer = m_Network->AddResizeLayer(desc, nodeDef.name().c_str());
 
     IOutputSlot& inputSlot = inputs[0].m_IndexedValue->ResolveArmnnOutputSlot(inputs[0].m_Index);
     TensorInfo inputTensorInfo = inputSlot.GetTensorInfo();