From 721e629fa07e65d6a53c093518021e71e48eeac2 Mon Sep 17 00:00:00 2001
From: Keith Davis <keith.davis@arm.com>
Date: Tue, 17 May 2022 10:06:53 +0100
Subject: IVGCVSW-6123 ConstTensorsAsInputs: Conv2d

  * Use new INetwork::AddConvolution2dLayer
    instead of deprecated version
  * Remove duplicated test in SerlializerTests
  * Fix some cosmetics

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I3407815bfdc1cdc01ca0a667b8e4d80d8621783f
---
 src/armnn/test/OptimizerTests.cpp | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'src/armnn/test/OptimizerTests.cpp')

diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp
index 3dd55279c6..b78863dddc 100644
--- a/src/armnn/test/OptimizerTests.cpp
+++ b/src/armnn/test/OptimizerTests.cpp
@@ -885,11 +885,11 @@ TEST_CASE("OptimizeForExclusiveConnectionsFuseTest")
 
     // Define the network
     Graph graph;
-    auto input     = graph.AddLayer<InputLayer>(0, "input");
+    auto input        = graph.AddLayer<InputLayer>(0, "input");
     auto weightsLayer = graph.AddLayer<ConstantLayer>("Weights");
-    auto conv      = graph.AddLayer<Convolution2dLayer>(convolution2dDescriptor, "convolution");
-    auto batchNorm = graph.AddLayer<BatchNormalizationLayer>(batchNormDescriptor, "batchNorm");
-    auto output    = graph.AddLayer<OutputLayer>(0, "output");
+    auto conv         = graph.AddLayer<Convolution2dLayer>(convolution2dDescriptor, "convolution");
+    auto batchNorm    = graph.AddLayer<BatchNormalizationLayer>(batchNormDescriptor, "batchNorm");
+    auto output       = graph.AddLayer<OutputLayer>(0, "output");
 
     // Set layer information
     input->GetOutputSlot().SetTensorInfo(inputInfo);
-- 
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