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Assume that the grad_scale tag is a shared variable #321

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Assume that the grad_scale tag is a shared variable #321

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6 changes: 3 additions & 3 deletions nolearn/lasagne/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,7 +123,7 @@ def __getstate__(self):

def grad_scale(layer, scale):
for param in layer.get_params(trainable=True):
param.tag.grad_scale = floatX(scale)
param.tag.grad_scale = theano.shared(floatX(scale))
return layer


Expand Down Expand Up @@ -634,8 +634,8 @@ def _create_iter_funcs(self, layers, objective, update, output_type):
all_params = self.get_all_params(trainable=True)
grads = theano.grad(loss_train, all_params)
for idx, param in enumerate(all_params):
grad_scale = getattr(param.tag, 'grad_scale', 1)
if grad_scale != 1:
grad_scale = getattr(param.tag, 'grad_scale', None)
if grad_scale is not None:
grads[idx] *= grad_scale
update_params = self._get_params_for('update')
updates = update(grads, all_params, **update_params)
Expand Down