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Set the global op latency mode in execution context.
tfq.set_quantum_concurrent_op_mode( mode )
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