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-rw-r--r--src/armnnTfLiteParser/TfLiteParser.cpp6
1 files changed, 5 insertions, 1 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 9e8af66b49..279f804a03 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -1606,7 +1606,11 @@ void TfLiteParserImpl::ParseTransposeConv(size_t subgraphIndex, size_t operatorI
auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
CHECK_VALID_SIZE(outputs.size(), 1);
- if (inputs[0])
+ // This block determines the output shape of the transpose convolution. If the output shape tensor ptr is not null
+ // And the tensor is a constant, we can access the data at load time and set the output shape of the
+ // layer. If this is not constant, We do not have access to the shape data, so we have to use
+ // infer output shape and skip this code block.
+ if (inputs[0] && IsConstTensor(inputs[0]))
{
armnn::TensorInfo tensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 0);
std::vector<int> output_shape(tensorInfo.GetNumElements());