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authorGravatar Asim Shankar <ashankar@google.com>2018-05-21 19:30:52 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-05-21 19:33:45 -0700
commit45e4c1c4a260b063dd62404bdbd2089f91d668a9 (patch)
treea8c69709050d09027d01e0df2e267b2c7b812f61 /third_party/examples
parente4dcf28ad1c56c3a8e41ca52e7d87169eb7f93d5 (diff)
s/tfe.GradientTape/tf.GradientTape/
s/tfe.enable_eager_execution/tf.enable_eager_execution/ PiperOrigin-RevId: 197500751
Diffstat (limited to 'third_party/examples')
-rw-r--r--third_party/examples/eager/spinn/spinn.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/third_party/examples/eager/spinn/spinn.py b/third_party/examples/eager/spinn/spinn.py
index 8a2b24aa4e..67456a5bdf 100644
--- a/third_party/examples/eager/spinn/spinn.py
+++ b/third_party/examples/eager/spinn/spinn.py
@@ -462,7 +462,7 @@ class SNLIClassifierTrainer(tfe.Checkpointable):
2. logits as a dense `Tensor` of shape (batch_size, d_out), where d_out is
the output dimension size of the SNLIClassifier.
"""
- with tfe.GradientTape() as tape:
+ with tf.GradientTape() as tape:
tape.watch(self._model.variables)
logits = self._model(premise,
premise_transition,