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Diffstat (limited to 'tensorflow/contrib/kfac/python/ops/estimator.py')
| -rw-r--r-- | tensorflow/contrib/kfac/python/ops/estimator.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/kfac/python/ops/estimator.py b/tensorflow/contrib/kfac/python/ops/estimator.py index 854f885c26..323234c403 100644 --- a/tensorflow/contrib/kfac/python/ops/estimator.py +++ b/tensorflow/contrib/kfac/python/ops/estimator.py @@ -97,8 +97,8 @@ class FisherEstimator(object): and to regularize the update direction by making it closer to the gradient. (Higher damping means the update looks more like a standard gradient update - see Tikhonov regularization.) - layer_collection: The layer collection object, which holds the fisher - blocks, kronecker factors, and losses associated with the + layer_collection: The layer collection object, which holds the Fisher + blocks, Kronecker factors, and losses associated with the graph. exps: List of floats or ints. These represent the different matrix powers of the approximate Fisher that the FisherEstimator will be able @@ -464,7 +464,7 @@ class FisherEstimator(object): def _get_grads_lists_empirical(self, tensors): # Passing in a list of loss values is better than passing in the sum as - # the latter creates unnessesary ops on the default device + # the latter creates unnecessary ops on the default device grads_flat = gradients_impl.gradients( self._layers.eval_losses(), nest.flatten(tensors), |