ExecutionMode

Symbolica documentation for getting started, symbolic expressions, numerical evaluation, pattern matching, and APIs in Python and Rust.

`ExecutionMode`

class ExecutionMode

Choose how network execution schedules contractions.

All uses the default contraction schedule. Single selects one contraction at a time. Scalar restricts contraction to scalar work. Use execute(n_steps=...) to bound the number of execution rounds; the mode by itself does not bound the total number of rounds.

Examples

from symbolica.community.tensor import Representation, TensorName, TensorExpression
space = Representation.euc(2)
A = TensorName("M")(space, space)
from symbolica.community.tensor import Tensor
tensor = Tensor.dense(A, [1.0, 2.0, 3.0, 4.0])
from symbolica.community.tensor import TensorNetwork
network = TensorNetwork(tensor)
from symbolica.community.tensor import ExecutionMode
network.execute(n_steps=1, mode=ExecutionMode.Single)

Attributes

Name	Description
`All`	Use the default contraction schedule.
`Scalar`	Restrict each execution step to scalar work.
`Single`	Select one smallest-degree rewrite per step; without `n_steps`, continue until no work remains.

`All`

All: typing.ClassVar[ExecutionMode]

Use the default contraction schedule.

`Scalar`

Scalar: typing.ClassVar[ExecutionMode]

Restrict each execution step to scalar work.

`Single`

Single: typing.ClassVar[ExecutionMode]

Select one smallest-degree rewrite per step; without n_steps, continue until no work remains

Methods

Name	Description
`__int__`	Return the underlying integer discriminant.

`int`

ExecutionMode.__int__() -> builtins.int

Return the underlying integer discriminant.