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Allowing modification of learning rate for mu #1456

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Allowing modification of learning rate for mu #1456

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19 changes: 13 additions & 6 deletions pylearn2/models/dbm/layer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2045,6 +2045,7 @@ class GaussianVisLayer(VisibleLayer):
locations, ie mu should be a vector with one elem per channel
bias_from_marginals : WRITEME
beta_lr_scale : WRITEME
mu_lr_scale : WRITEME
axes : tuple
WRITEME
"""
Expand All @@ -2061,6 +2062,7 @@ def __init__(self,
tie_mu = None,
bias_from_marginals = None,
beta_lr_scale = 'by_sharing',
mu_lr_scale = 'by_sharing',
axes = ('b', 0, 1, 'c')):
super(type(self), self).__init__()

Expand Down Expand Up @@ -2164,12 +2166,17 @@ def get_lr_scalers(self):
rval[self.beta] = self.beta_lr_scale

assert self.tie_mu in [None, 'locations']
if self.tie_mu == 'locations':
warn = True
assert self.nvis is None
rval[self.mu] = 1./num_loc
logger.warning("mu lr_scaler hardcoded to 1/sharing")

if self.mu_lr_scale == 'by_sharing':
if self.tie_mu == 'locations':
assert self.nvis is None
warn = True
rval[self.mu] = 1. / num_loc
logger.warning("mu lr_scaler hardcoded to 1/sharing")
elif self.mu_lr_scale == None:
pass
else:
rval[self.mu] = self.mu_lr_scale

return rval

@functools.wraps(Model._modify_updates)
Expand Down