def create_tensor()

in 04_EdgeApplication/turbine/edgeagentclient.py [0:0]

• 9 lines of code
• 3 McCabe index (conditional complexity)

    def create_tensor(self, x, tensor_name):
        if (x.dtype != np.float32):
            raise Exception( "It only supports numpy float32 arrays for this tensor" )
        tensor = agent.Tensor()
        tensor.tensor_metadata.name = tensor_name
        tensor.tensor_metadata.data_type = agent.FLOAT32
        for s in x.shape: tensor.tensor_metadata.shape.append(s)
        tensor.byte_data = x.tobytes()
        return tensor