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-rw-r--r--1.2/HalPolicy.cpp6
-rw-r--r--ConversionUtils.hpp9
2 files changed, 12 insertions, 3 deletions
diff --git a/1.2/HalPolicy.cpp b/1.2/HalPolicy.cpp
index 86b3bb78..7e9a2233 100644
--- a/1.2/HalPolicy.cpp
+++ b/1.2/HalPolicy.cpp
@@ -420,6 +420,12 @@ bool HalPolicy::ConvertDepthwiseConv2d(const Operation& operation, const Model&
{
return Fail("%s: Operand is invalid", __func__);
}
+ if ( weightsOperand->dimensions[0] != 1)
+ {
+ return Fail("%s: Invalid weights; for depthwise convolution, dimension 0 must be 1 but it is %i",
+ __func__, weightsOperand->dimensions[0] );
+ }
+
DepthwiseConvolution2dDescriptor desc;
desc.m_DataLayout = DataLayout::NHWC;
diff --git a/ConversionUtils.hpp b/ConversionUtils.hpp
index de255803..e4ac4a5a 100644
--- a/ConversionUtils.hpp
+++ b/ConversionUtils.hpp
@@ -1590,10 +1590,13 @@ bool ConvertConcatenation(const Operation& operation, const Model& model, Conver
return Fail("%s: Operation has invalid inputs", __func__);
}
- armnn::TensorShape operandShape = GetTensorShapeForOperand(*operand);
- LayerInputHandle operandInputHandle =
- ConvertToLayerInputHandle<HalPolicy>(operation, i, model, data);
+ LayerInputHandle operandInputHandle = ConvertToLayerInputHandle<HalPolicy>(operation, i, model, data);
+ if (!operandInputHandle.IsValid())
+ {
+ return Fail("%s: Operation has invalid inputs", __func__);
+ }
+ armnn::TensorShape operandShape = GetTensorShapeForOperand(*operand);
if (operandShape.GetNumDimensions() == 0)
{
return Fail("%s: Operands with rank 0 are not supported", __func__);