diff options
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 6 |
1 files changed, 0 insertions, 6 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index 537ea3c0c4..b1ec0e54c2 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -1942,10 +1942,7 @@ void TfLiteParser::ParsePad(size_t subgraphIndex, size_t operatorIndex) } auto layerName = boost::str(boost::format("Pad:%1%:%2%") % subgraphIndex % operatorIndex); - - TensorInfo inputTensorInfo = ToTensorInfo(inputs[0]); TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); - CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0"); IConnectableLayer* layer = m_Network->AddPadLayer(desc, layerName.c_str()); ARMNN_ASSERT(layer != nullptr); @@ -2313,10 +2310,7 @@ void TfLiteParser::ParseConcatenation(size_t subgraphIndex, size_t operatorIndex } auto layerName = boost::str(boost::format("Concatenation:%1%:%2%") % subgraphIndex % operatorIndex); - - TensorInfo inputTensorInfo = ToTensorInfo(inputs[0]); TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); - CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0"); IConnectableLayer* layer = m_Network->AddConcatLayer(concatDescriptor, layerName.c_str()); ARMNN_ASSERT(layer != nullptr); |