lsst.scarlet.lite.parameters.FixedParameter Class Reference

Inheritance diagram for lsst.scarlet.lite.parameters.FixedParameter:

Public Member Functions
	__init__ (self, np.ndarray x)
	update (self, int it, np.ndarray input_grad, *args)
Public Member Functions inherited from lsst.scarlet.lite.parameters.Parameter
	__init__ (self, np.ndarray x, dict[str, np.ndarray] helpers, Callable|float step, Callable|None grad=None, Callable|None prox=None)
float	step (self)
tuple[int,...]	shape (self)
npt.DTypeLike	dtype (self)
Parameter	copy (self)
	resize (self, Box old_box, Box new_box)

Additional Inherited Members
Public Attributes inherited from lsst.scarlet.lite.parameters.Parameter
	x = x
	helpers = helpers
	grad = grad
	prox = prox
Protected Attributes inherited from lsst.scarlet.lite.parameters.Parameter
	_step = _step

Detailed Description

A parameter that is not updated

Member Function Documentation

update()

lsst.scarlet.lite.parameters.FixedParameter.update	(		self,
		int	it,
		np.ndarray	input_grad,
		*	args )

Update the parameter in one iteration.

This includes the gradient update, proximal update,
and any meta parameters that are stored as class
attributes to update the parameter.

Parameters
----------
it:
    The current iteration
input_grad:
    The gradient from the full model, passed to the parameter.

Reimplemented from lsst.scarlet.lite.parameters.Parameter.

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The documentation for this class was generated from the following file:

• python/lsst/scarlet/lite/parameters.py