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authorFinn Williams <Finn.Williams@arm.com>2020-07-03 10:12:03 +0100
committerFinn Williams <Finn.Williams@arm.com>2020-07-10 19:27:07 +0100
commit87d0bda9b49d9df4455f1887027e5ead2527c27e (patch)
treec58787cce03027d3e1969a169f162f59a8b06f37 /src/armnn/layers/DetectionPostProcessLayer.cpp
parentc9f74d775da0039fd899f9ee6ec02b98ad575250 (diff)
downloadarmnn-87d0bda9b49d9df4455f1887027e5ead2527c27e.tar.gz
IVGCVSW-4929 Implement ShapeInferenceMethod in all Layers
Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I2c2d99f97cf89814140b057a9f93f41b364197f5
Diffstat (limited to 'src/armnn/layers/DetectionPostProcessLayer.cpp')
-rw-r--r--src/armnn/layers/DetectionPostProcessLayer.cpp40
1 files changed, 21 insertions, 19 deletions
diff --git a/src/armnn/layers/DetectionPostProcessLayer.cpp b/src/armnn/layers/DetectionPostProcessLayer.cpp
index 2deca322ce..fddf86f573 100644
--- a/src/armnn/layers/DetectionPostProcessLayer.cpp
+++ b/src/armnn/layers/DetectionPostProcessLayer.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -36,10 +36,12 @@ DetectionPostProcessLayer* DetectionPostProcessLayer::Clone(Graph& graph) const
void DetectionPostProcessLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod)
{
- IgnoreUnused(shapeInferenceMethod);
-
VerifyLayerConnections(2, CHECK_LOCATION());
+ const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
+
+ VerifyShapeInferenceType(outputShape, shapeInferenceMethod);
+
// on this level constant data should not be released.
ARMNN_ASSERT_MSG(m_Anchors != nullptr, "DetectionPostProcessLayer: Anchors data should not be null.");
@@ -51,22 +53,22 @@ void DetectionPostProcessLayer::ValidateTensorShapesFromInputs(ShapeInferenceMet
const TensorShape& inferredDetectionScores = TensorShape({ 1, detectedBoxes });
const TensorShape& inferredNumberDetections = TensorShape({ 1 });
- ConditionalThrowIfNotEqual<LayerValidationException>(
- "DetectionPostProcessLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
- GetOutputSlot(0).GetTensorInfo().GetShape(),
- inferredDetectionBoxes);
- ConditionalThrowIfNotEqual<LayerValidationException>(
- "DetectionPostProcessLayer: TensorShape set on OutputSlot[1] does not match the inferred shape.",
- GetOutputSlot(1).GetTensorInfo().GetShape(),
- inferredDetectionScores);
- ConditionalThrowIfNotEqual<LayerValidationException>(
- "DetectionPostProcessLayer: TensorShape set on OutputSlot[2] does not match the inferred shape.",
- GetOutputSlot(2).GetTensorInfo().GetShape(),
- inferredDetectionScores);
- ConditionalThrowIfNotEqual<LayerValidationException>(
- "DetectionPostProcessLayer: TensorShape set on OutputSlot[3] does not match the inferred shape.",
- GetOutputSlot(3).GetTensorInfo().GetShape(),
- inferredNumberDetections);
+ ValidateAndCopyShape(outputShape, inferredDetectionBoxes, shapeInferenceMethod, "DetectionPostProcessLayer");
+
+ ValidateAndCopyShape(GetOutputSlot(1).GetTensorInfo().GetShape(),
+ inferredDetectionScores,
+ shapeInferenceMethod,
+ "DetectionPostProcessLayer", 1);
+
+ ValidateAndCopyShape(GetOutputSlot(2).GetTensorInfo().GetShape(),
+ inferredDetectionScores,
+ shapeInferenceMethod,
+ "DetectionPostProcessLayer", 2);
+
+ ValidateAndCopyShape(GetOutputSlot(3).GetTensorInfo().GetShape(),
+ inferredNumberDetections,
+ shapeInferenceMethod,
+ "DetectionPostProcessLayer", 3);
}
Layer::ConstantTensors DetectionPostProcessLayer::GetConstantTensorsByRef()