LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
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Public Member Functions | |
__init__ (self, np.ndarray x, Callable|float step, Callable|None grad=None, Callable|None prox=None, float b1=0.9, float b2=0.999, float eps=1e-8, float p=0.25, np.ndarray|None m0=None, np.ndarray|None v0=None, np.ndarray|None vhat0=None, str scheme="amsgrad", float prox_e_rel=1e-6) | |
update (self, int it, np.ndarray input_grad, *args) | |
Public Attributes | |
b1 | |
b2 | |
eps | |
p | |
phi_psi | |
e_rel | |
x | |
Operator updated using te Proximal ADAM algorithm Uses multiple variants of adaptive quasi-Newton gradient descent * Adam (Kingma & Ba 2015) * NAdam (Dozat 2016) * AMSGrad (Reddi, Kale & Kumar 2018) * PAdam (Chen & Gu 2018) * AdamX (Phuong & Phong 2019) * RAdam (Liu et al. 2019) See details of the algorithms in the respective papers.
Definition at line 356 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.__init__ | ( | self, | |
np.ndarray | x, | ||
Callable | float | step, | ||
Callable | None | grad = None, | ||
Callable | None | prox = None, | ||
float | b1 = 0.9, | ||
float | b2 = 0.999, | ||
float | eps = 1e-8, | ||
float | p = 0.25, | ||
np.ndarray | None | m0 = None, | ||
np.ndarray | None | v0 = None, | ||
np.ndarray | None | vhat0 = None, | ||
str | scheme = "amsgrad", | ||
float | prox_e_rel = 1e-6 ) |
Reimplemented from lsst.scarlet.lite.parameters.Parameter.
Definition at line 369 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.update | ( | self, | |
int | it, | ||
np.ndarray | input_grad, | ||
* | args ) |
Update the parameter and meta-parameters using the PGM See `~Parameter` for more.
Reimplemented from lsst.scarlet.lite.parameters.Parameter.
Definition at line 421 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.b1 |
Definition at line 413 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.b2 |
Definition at line 414 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.e_rel |
Definition at line 419 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.eps |
Definition at line 415 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.p |
Definition at line 416 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.phi_psi |
Definition at line 418 of file parameters.py.
lsst.scarlet.lite.parameters.AdaproxParameter.x |
Definition at line 451 of file parameters.py.