|View source on GitHub
Set the global op latency mode in execution context.
This is advanced TFQ feature that should be used only in very specific cases. Namely if memory requirements on simulation are extremely large OR when executing against a true chip.
If you are going to make use of this function please call it at the top of your module right after import:
import tensorflow_quantum as tfq
bool indicating whether or not circuit executing ops
should block graph level parallelism. Advanced users should
mode=False when executing very large simulation workloads
or when executing against a real quantum chip.