diff options
Diffstat (limited to 'src/armnnOnnxParser')
| -rw-r--r-- | src/armnnOnnxParser/OnnxParser.cpp | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/src/armnnOnnxParser/OnnxParser.cpp b/src/armnnOnnxParser/OnnxParser.cpp index ed564f0ddc..77350b8b9e 100644 --- a/src/armnnOnnxParser/OnnxParser.cpp +++ b/src/armnnOnnxParser/OnnxParser.cpp @@ -214,7 +214,8 @@ armnn::TensorInfo ToTensorInfo(const onnx::ValueInfoProto& info) boost::str( boost::format("'%1%' is not a currently supported datatype for tensor %2%." " Supported dataTypes are FLOAT, INT32 and INT64. %3%") % - onnx::TensorProto::DataType_Name(info.type().tensor_type().elem_type()) % + onnx::TensorProto::DataType_Name( + static_cast<onnx::TensorProto::DataType>(info.type().tensor_type().elem_type())) % info.name() % CHECK_LOCATION().AsString() )); } @@ -637,7 +638,8 @@ void OnnxParser::SetupInfo(const google::protobuf::RepeatedPtrField<onnx::ValueI { m_TensorsInfo[tensor.name()] = OnnxTensor(); m_TensorsInfo[tensor.name()].m_info = std::make_unique<TensorInfo>(ToTensorInfo(tensor)); - m_TensorsInfo[tensor.name()].m_dtype = tensor.type().tensor_type().elem_type(); + m_TensorsInfo[tensor.name()].m_dtype = + static_cast<onnx::TensorProto::DataType>(tensor.type().tensor_type().elem_type()); } } @@ -850,7 +852,8 @@ void OnnxParser::ParseConstant(const onnx::NodeProto& node) const onnx::TensorProto& onnxTensor = node.attribute(0).t(); //ONNX can have Float16 and double constant nodes but ArmNN only supports float32 - CHECK_VALID_DATATYPE(node.name(), onnxTensor.name(), onnxTensor.data_type(), onnx::TensorProto::FLOAT); + CHECK_VALID_DATATYPE(node.name(), onnxTensor.name(), + static_cast<onnx::TensorProto::DataType>(onnxTensor.data_type()), onnx::TensorProto::FLOAT); //Register this as a m_ConstParam so we know we can use it as a constant param in future layers. m_TensorsInfo[node.output(0)].m_tensor = std::make_unique<const onnx::TensorProto>(onnxTensor); |