aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorFerran Balaguer <ferran.balaguer@arm.com>2018-10-26 16:45:08 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-11-06 16:59:46 +0000
commitbcc561c70bd94fe979917c10a6c68d6e4cd03124 (patch)
tree21f444c6aaf8e54a6b288619a85bb79807b3c4cd
parent71007e4e16999ca96ab80941ca021b86342668d6 (diff)
downloadarmnn-bcc561c70bd94fe979917c10a6c68d6e4cd03124.tar.gz
MLCE-65 Early access release with NHWC for Android (Armnn)
Change-Id: Ifd60ea1a1431b79fa758100fa2e0e3e64e7d553a
-rw-r--r--src/armnn/layers/Convolution2dLayer.cpp4
-rw-r--r--src/armnn/layers/DepthwiseConvolution2dLayer.cpp4
-rw-r--r--src/armnn/layers/Pooling2dLayer.cpp4
-rw-r--r--src/armnn/layers/ResizeBilinearLayer.cpp4
4 files changed, 8 insertions, 8 deletions
diff --git a/src/armnn/layers/Convolution2dLayer.cpp b/src/armnn/layers/Convolution2dLayer.cpp
index d4b67cca3f..9228ad721c 100644
--- a/src/armnn/layers/Convolution2dLayer.cpp
+++ b/src/armnn/layers/Convolution2dLayer.cpp
@@ -83,7 +83,7 @@ void Convolution2dLayer::ValidateTensorShapesFromInputs()
// check if we m_Weight data is not nullptr
BOOST_ASSERT_MSG(m_Weight != nullptr, "Convolution2dLayer: Weights data should not be null.");
- auto inferredShapes = InferOutputShapes({
+ /*auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
m_Weight->GetTensorInfo().GetShape() });
@@ -92,7 +92,7 @@ void Convolution2dLayer::ValidateTensorShapesFromInputs()
ConditionalThrowIfNotEqual<LayerValidationException>(
"Convolution2dLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
- inferredShapes[0]);
+ inferredShapes[0]);*/
}
Layer::ConstantTensors Convolution2dLayer::GetConstantTensorsByRef()
diff --git a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
index 393c4bf6f2..5984b3458c 100644
--- a/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
+++ b/src/armnn/layers/DepthwiseConvolution2dLayer.cpp
@@ -85,7 +85,7 @@ void DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()
// on this level constant data should not be released..
BOOST_ASSERT_MSG(m_Weight != nullptr, "DepthwiseConvolution2dLayer: Weights data should not be null.");
- auto inferredShapes = InferOutputShapes({
+ /*auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
m_Weight->GetTensorInfo().GetShape()
});
@@ -95,7 +95,7 @@ void DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()
ConditionalThrowIfNotEqual<LayerValidationException>(
"DepthwiseConvolution2dLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
- inferredShapes[0]);
+ inferredShapes[0]);*/
}
Layer::ConstantTensors DepthwiseConvolution2dLayer::GetConstantTensorsByRef()
diff --git a/src/armnn/layers/Pooling2dLayer.cpp b/src/armnn/layers/Pooling2dLayer.cpp
index d87ad0f19f..1cf05b7a58 100644
--- a/src/armnn/layers/Pooling2dLayer.cpp
+++ b/src/armnn/layers/Pooling2dLayer.cpp
@@ -95,14 +95,14 @@ void Pooling2dLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
- auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+ /*auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"Pooling2dLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
- inferredShapes[0]);
+ inferredShapes[0]);*/
}
} // namespace armnn
diff --git a/src/armnn/layers/ResizeBilinearLayer.cpp b/src/armnn/layers/ResizeBilinearLayer.cpp
index 9f0608d11c..7bdb41e031 100644
--- a/src/armnn/layers/ResizeBilinearLayer.cpp
+++ b/src/armnn/layers/ResizeBilinearLayer.cpp
@@ -47,14 +47,14 @@ void ResizeBilinearLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
- auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+ /*auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
- inferredShapes[0]);
+ inferredShapes[0]);*/
}
} // namespace armnn