update
Update to the tensor's up-to-date's content. If you have changed the content, but have not call the applyChange or applyChangeSuspend to write the updated content back to the tensor, the change will be discarded.
Calling the method has the same requirement as readbackContent: the application must have necessary permissions being granted by users.
This method may block your calling thread for a while to wait for the running pipelines which are currently writing to the GlobalTensor to finish. On return, the method take a snapshot of the tensor's content at that moment. If any pipeline in SpatialML framework change the tensor's content afterwards, the data in this TensorContent will be updated until the update is manually called.
See also
Throws
if it fails to read back latest content from the same tensor. Possible reasons are: 1. The application does not have the necessary permissions any more, 1. The SpatialML framework encounters internal error to perform the request, such as no enough memory to allocate for snapshotting the tensor's content.