Tensor : Fix construction from BoolData

I was creating a tensor that referenced temporary data directly, so when that data went out of scope it was just referencing junk. Now we're creating a tensor which owns its own memory.

src/GafferML/Tensor.cpp

@@ -203,24 +203,19 @@ Tensor::Tensor( const IECore::ConstDataPtr &data, std::vector<int64_t> shape )
 				}
 			}
 
-			Ort::MemoryInfo memoryInfo = Ort::MemoryInfo::CreateCpu( OrtArenaAllocator, OrtMemTypeDefault );
-
 			if constexpr( std::is_same_v<DataType, BoolVectorData> )
 			{
 				// Special case for the vector of bool fiasco.
-				auto array = std::make_unique<bool[]>( typedData->readable().size() );
-				std::copy( typedData->readable().begin(), typedData->readable().end(), array.get() );
-				m_state = new State{
-					Ort::Value::CreateTensor(
-						memoryInfo.GetConst(),
-						array.get(), typedData->readable().size(),
-						shape.data(), shape.size()
-					),
-					nullptr
-				};
+				Ort::AllocatorWithDefaultOptions allocator;
+				Ort::Value value = Ort::Value::CreateTensor(
+					allocator, shape.data(), shape.size(), ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL
+				);
+				std::copy( typedData->readable().begin(), typedData->readable().end(), value.GetTensorMutableData<bool>() );
+				m_state = new State{ std::move( value ), nullptr };
 			}
 			else if constexpr( HasTensorType<BaseType>::value )
 			{
+				Ort::MemoryInfo memoryInfo = Ort::MemoryInfo::CreateCpu( OrtArenaAllocator, OrtMemTypeDefault );
 				m_state = new State{
 					Ort::Value::CreateTensor(
 						memoryInfo.GetConst(),