cjolivier01 commented on a change in pull request #7903: Refactor AdaGrad
optimizer to support sparse tensors
URL: https://github.com/apache/incubator-mxnet/pull/7903#discussion_r139483293
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File path: python/mxnet/optimizer.py
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@@ -665,26 +667,46 @@ class AdaGrad(Optimizer):
eps: float, optional
Small value to avoid division by 0.
"""
- def __init__(self, eps=1e-7, **kwargs):
+ def __init__(self, eps=1e-7, stype='default', **kwargs):
super(AdaGrad, self).__init__(**kwargs)
self.float_stable_eps = eps
+ self.stype = stype
def create_state(self, index, weight):
- return zeros(weight.shape, weight.context) # history
+ return zeros(weight.shape, weight.context, stype=self.stype) # history
Review comment:
done
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