IVGCVSW-5890 Prevent modification to const layers with multiple connections

* In AddBroadcastReshapeLayerImpl check if a constant layer has other
  connections before modifying its output tensor shape.
* In ElementWiseBaseLayer replace an ARMNN_ASSERT with a proper error
  message.

Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Id3f3796c260eede61f076660505257a8b65d93fc

1 files changed, 18 insertions, 11 deletions

diff --git a/src/armnn/layers/ElementwiseBaseLayer.cpp b/src/armnn/layers/ElementwiseBaseLayer.cpp
index a169d31b2d..87093f684e 100644
--- a/src/armnn/layers/ElementwiseBaseLayer.cpp
+++ b/src/armnn/layers/ElementwiseBaseLayer.cpp
@@ -13,11 +13,12 @@
 namespace armnn
 {
 
-ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots,
-                                           LayerType type, const char* name)
+ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots,
+                                           unsigned int numOutputSlots,
+                                           LayerType type,
+                                           const char* name)
     : Layer(numInputSlots, numOutputSlots, type, name)
-{
-}
+{}
 
 std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
@@ -27,7 +28,15 @@ std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vect
 
     if (m_ShapeInferenceMethod == ShapeInferenceMethod::ValidateOnly)
     {
-        ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
+        if (input0.GetNumDimensions() != input1.GetNumDimensions())
+        {
+            std::stringstream errorMessage;
+            errorMessage << GetLayerTypeAsCString(GetType()) << " layer \"" << GetName() << "\": ";
+            errorMessage << "The tensor inputs to an element-wise operator are expected to have equal number of "
+                            "dimensions. First = "
+                         << input0.GetNumDimensions() << " second = " << input1.GetNumDimensions();
+            throw InvalidArgumentException(errorMessage.str(), CHECK_LOCATION());
+        }
     }
     else if (m_ShapeInferenceMethod == ShapeInferenceMethod::InferAndValidate &&
              inputShapes[0].GetNumDimensions() < inputShapes[1].GetNumDimensions())
@@ -36,7 +45,7 @@ std::vector<TensorShape> ElementwiseBaseLayer::InferOutputShapes(const std::vect
         input0 = inputShapes[1];
     }
 
-    unsigned int numDims = input0.GetNumDimensions();
+    unsigned int numDims     = input0.GetNumDimensions();
     unsigned int shiftedDims = input0.GetNumDimensions() - input1.GetNumDimensions();
 
     // Get the max of the inputs.
@@ -72,10 +81,8 @@ void ElementwiseBaseLayer::ValidateTensorShapesFromInputs()
 
     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
-    auto inferredShapes = InferOutputShapes({
-        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
-        GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
-    });
+    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
+                                              GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() });
 
     ARMNN_ASSERT(inferredShapes.size() == 1);
 
@@ -87,4 +94,4 @@ void ElementwiseBaseLayer::ExecuteStrategy(IStrategy& strategy) const
     strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
 }
 
-} // namespace armnn
+}    // namespace armnn