Mission
mission
¶
Mission discipline for the Sobieski's SSBJ use case.
Classes¶
JAXSobieskiMission
¶
JAXSobieskiMission()
Bases: BaseJAXSobieskiDiscipline
Mission discipline for the Sobieski's SSBJ use case.
Parameters:
-
function(Callable[[NumberLike, ..., Any, ...], tuple[NumberLike]]) –The JAX function.
-
static_args(Mapping[str, Any], default:READ_ONLY_EMPTY_DICT) –The names and values of the static arguments of the JAX function. These arguments are constant at discipline execution. The non-numeric arguments can also be included.
Source code in src/gemseo_jax/problems/sobieski/base.py
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Attributes¶
jax_out_func
instance-attribute
¶
jax_out_func: Callable[[DataType], DataType] = function
The JAX function to compute the outputs from the inputs.
Classes¶
DifferentiationMethod
¶
Bases: StrEnum
The method to compute the Jacobian.
Functions¶
add_differentiated_inputs
¶
add_differentiated_inputs(
input_names: Iterable[str] = (),
) -> None
Notes
The Jacobian is also filtered to view non-differentiated static.
Source code in src/gemseo_jax/jax_discipline.py
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add_differentiated_outputs
¶
add_differentiated_outputs(
output_names: Iterable[str] = (),
) -> None
Notes
The Jacobian is also filtered to view non-differentiated static.
Source code in src/gemseo_jax/jax_discipline.py
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compile_jit
¶
compile_jit(pre_run: bool = True) -> None
Apply jit compilation over function and jacobian.
Parameters:
-
pre_run(bool, default:True) –Whether to call jitted callables once to trigger compilation and log times.
Warning
Calling add_differentiated_inputs and add_differentiated_outputs must be done before calling compile_jit.
Source code in src/gemseo_jax/jax_discipline.py
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