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author | Sourabh Bajaj <sourabhbajaj@google.com> | 2018-10-08 12:03:09 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-08 12:08:08 -0700 |
commit | 723fd1245ed650ad07e5049faec021f4f0f6d408 (patch) | |
tree | 3bcaf32baf4cd2e056d3eb8ff509587172308b8b /tensorflow/contrib | |
parent | 1221a8e38a402513560ee71e6982b7cd8b6d901b (diff) |
Fix the steps_per_epoch when training on mnist
PiperOrigin-RevId: 216225505
Diffstat (limited to 'tensorflow/contrib')
-rw-r--r-- | tensorflow/contrib/distribute/python/examples/keras_mnist.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/distribute/python/examples/keras_mnist.py b/tensorflow/contrib/distribute/python/examples/keras_mnist.py index a84ef04196..da7f8c548f 100644 --- a/tensorflow/contrib/distribute/python/examples/keras_mnist.py +++ b/tensorflow/contrib/distribute/python/examples/keras_mnist.py @@ -113,7 +113,7 @@ def main(_): distribute=strategy) # Train the model with the train dataset. - model.fit(x=train_ds, epochs=20, steps_per_epoch=310) + model.fit(x=train_ds, epochs=20, steps_per_epoch=468) # Evaluate the model with the eval dataset. score = model.evaluate(eval_ds, steps=10, verbose=0) |