cuquantum.OptimizerOptions

class cuquantum.OptimizerOptions(samples: Optional[int] = None, path: Optional[Union[Type[types.PathFinderOptions], Iterable[Tuple[int, int]]]] = None, slicing: Optional[Union[Type[types.SlicerOptions], Iterable[Hashable], Iterable[Tuple[Hashable, int]]]] = None, reconfiguration: Optional[Type[types.ReconfigOptions]] = None, seed: Optional[int] = None)

A data class for providing options to the cuTensorNet optimizer.

samples

Number of samples for hyperoptimization. See CUTENSORNET_CONTRACTION_OPTIMIZER_CONFIG_HYPER_NUM_SAMPLES.

Type

Optional[int]

path

Options for the path finder (PathFinderOptions object or dict containing the (parameter, value) items for PathFinderOptions). Alternatively, the path can be provided as a sequence of pairs in the numpy.einsum_path() format.

Type

Optional[Union[Type[types.PathFinderOptions], Iterable[Tuple[int, int]]]]

slicing

Options for the slicer (SlicerOptions object or dict containing the (parameter, value) items for SlicerOptions). Alternatively, a sequence of sliced modes or sequence of (sliced mode, sliced extent) pairs can be directly provided.

Type

Optional[Union[Type[types.SlicerOptions], Iterable[Hashable], Iterable[Tuple[Hashable, int]]]]

reconfiguration

Options for the reconfiguration algorithm as a ReconfigOptions object or dict containing the (parameter, value) items for ReconfigOptions.

Type

Optional[Type[types.ReconfigOptions]]

seed

Optional seed for the random number generator. See CUTENSORNET_CONTRACTION_OPTIMIZER_CONFIG_SEED.

Type

Optional[int]