- cuquantum.contract_path(subscripts, *operands, options=None, optimize=None)¶
Evaluate the “best” contraction order by allowing the creation of intermediate tensors.
Explicit as well as implicit form is supported for the Einstein summation expression. In addition to the subscript format, the interleaved format is also supported as a means of specifying the operands and their mode labels. See
Networkfor more detail on the types of operands as well as for examples.
subscripts – The mode labels (subscripts) defining the Einstein summation expression as a comma-separated sequence of characters. Unicode characters are allowed in the expression thereby expanding the size of the tensor network that can be specified using the Einstein summation convention.
operands – A sequence of tensors (ndarray-like objects). The currently supported types are
qualifiers – Specify the tensor qualifiers as a
tensor_qualifiers_dtypeobjects of length equal to the number of operands.
options – Specify options for the tensor network as a
NetworkOptionsobject. Alternatively, a
dictcontaining the parameters for the
NetworkOptionsconstructor can also be provided. If not specified, the value will be set to the default-constructed
optimize – This parameter specifies options for path optimization as an
OptimizerOptionsobject. Alternatively, a dictionary containing the parameters for the
OptimizerOptionsconstructor can also be provided. If not specified, the value will be set to the default-constructed
A 2-tuple (
path: A sequence of pairs of operand ordinals representing the best contraction order in the
opt_info: An object of type
OptimizerInfocontaining information about the best contraction order.
- Return type
It is encouraged for users to maintain the library handle themselves so as to reduce the context initialization time:
from cuquantum import cutensornet as cutn from cuquantum import contract, NetworkOptions handle = cutn.create() network_opts = NetworkOptions(handle=handle, ...) path, info = contract_path(..., options=network_opts, ...) # ... the same handle can be reused for further calls ... # when it's done, remember to destroy the handle cutn.destroy(handle)