execution

class zfit.util.execution.RunManager(n_cpu='auto')

Bases: object

Handle the resources and runtime specific options. The run method is equivalent to sess.run

aquire_cpu(max_cpu: int = -1) → List[str]

chunksize

n_cpu

set_cpus_explicit(intra: int, inter: int) → None

Set the number of threads (cpus) used for inter-op and intra-op parallelism

Parameters:

• intra – Number of threads used to perform an operation. For larger operations, e.g. large Tensors, this is usually beneficial to have >= 2.
• inter – Parallelization on the level of ops. This is beneficial, if many operations can be computed independently in parallel.

set_n_cpu(n_cpu: Union[str, int] = 'auto', strict: bool = False) → None

Set the number of cpus to be used by zfit. For more control, use set_cpus_explicit.

Parameters:

• n_cpu – Number of cpus, will be the number for inter-op parallelism
• strict – If strict, sets intra parallelism to 1