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authorMike Kelly <mike.kelly@arm.com>2023-06-30 15:18:26 +0100
committermike.kelly <mike.kelly@arm.com>2023-07-03 15:32:04 +0000
commita9ac6ba643e8dc4fee88bd0e7e186f0918080c4b (patch)
tree4e05fbb098b30f3d2c7d3e5b4b83d48c9bdd59ac /src/armnn/layers/Convolution2dLayer.cpp
parent6d2d4ead359aa02d502f15cfcb7e69c7658bd1ed (diff)
downloadarmnn-a9ac6ba643e8dc4fee88bd0e7e186f0918080c4b.tar.gz
IVGCVSW-7828 Add an Optional TensorInfo to InputSlot
* Updated calls to use the new function From: GetInputSlot(n).GetConnection()->GetTensorInfo(); To: GetInputSlot(n).GetTensorInfo(); * Added UnitTests Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I43184cc05e4472011b9347aaa820eb8deb1cd4a0
Diffstat (limited to 'src/armnn/layers/Convolution2dLayer.cpp')
-rw-r--r--src/armnn/layers/Convolution2dLayer.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/layers/Convolution2dLayer.cpp b/src/armnn/layers/Convolution2dLayer.cpp
index f6a5583aad..df971a517d 100644
--- a/src/armnn/layers/Convolution2dLayer.cpp
+++ b/src/armnn/layers/Convolution2dLayer.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -31,8 +31,8 @@ void Convolution2dLayer::SerializeLayerParameters(ParameterStringifyFunction& fn
//using DescriptorType = Parameters;
const std::vector<TensorShape>& inputShapes =
{
- GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
- GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
+ GetInputSlot(0).GetTensorInfo().GetShape(),
+ GetInputSlot(1).GetTensorInfo().GetShape()
};
const TensorShape filterShape = inputShapes[1];
DataLayoutIndexed dataLayoutIndex(m_Param.m_DataLayout);
@@ -111,8 +111,8 @@ void Convolution2dLayer::ValidateTensorShapesFromInputs()
"Convolution2dLayer: Weights should be connected to input slot 1.");
std::vector<TensorShape> inferredShapes = InferOutputShapes({
- GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
- GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() });
+ GetInputSlot(0).GetTensorInfo().GetShape(),
+ GetInputSlot(1).GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);