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-rw-r--r--tensorflow/contrib/kfac/python/ops/layer_collection.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/kfac/python/ops/layer_collection.py b/tensorflow/contrib/kfac/python/ops/layer_collection.py
index cbbfe7212c..43aa713edc 100644
--- a/tensorflow/contrib/kfac/python/ops/layer_collection.py
+++ b/tensorflow/contrib/kfac/python/ops/layer_collection.py
@@ -609,7 +609,7 @@ class LayerCollection(object):
outputs,
approx=None,
reuse=VARIABLE_SCOPE):
- """Registers a fully connnected layer.
+ """Registers a fully connected layer.
Args:
params: Tensor or 2-tuple of Tensors corresponding to weight and bias of
@@ -975,7 +975,7 @@ class LayerCollection(object):
block for this layer (which must have already been registered). If
"VARIABLE_SCOPE", use tf.get_variable_scope().reuse. (Note that the
word `use` here has a completely different meaning to "use in the graph"
- as it perturns to the `inputs`, `outputs`, and `num_uses` arguments.)
+ as it pertains to the `inputs`, `outputs`, and `num_uses` arguments.)
(Default: "VARIABLE_SCOPE")
Raises:
@@ -1045,7 +1045,7 @@ class LayerCollection(object):
block for this layer (which must have already been registered). If
"VARIABLE_SCOPE", use tf.get_variable_scope().reuse. (Note that the
word `use` here has a completely different meaning to "use in the graph"
- as it perturns to the `inputs`, `outputs`, and `num_uses` arguments.)
+ as it pertains to the `inputs`, `outputs`, and `num_uses` arguments.)
(Default: "VARIABLE_SCOPE")
Raises:
@@ -1116,7 +1116,7 @@ class LayerCollection(object):
block for this layer (which must have already been registered). If
"VARIABLE_SCOPE", use tf.get_variable_scope().reuse. (Note that the
word `use` here has a completely different meaning to "use in the graph"
- as it perturns to the `inputs`, `outputs`, and `num_uses` arguments.)
+ as it pertains to the `inputs`, `outputs`, and `num_uses` arguments.)
(Default: "VARIABLE_SCOPE")
Raises: