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Diffstat (limited to 'tensorflow/contrib/slim/README.md')
| -rw-r--r-- | tensorflow/contrib/slim/README.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/slim/README.md b/tensorflow/contrib/slim/README.md index 0f31f6f346..e6100ef675 100644 --- a/tensorflow/contrib/slim/README.md +++ b/tensorflow/contrib/slim/README.md @@ -109,7 +109,7 @@ weights = variables.variable('weights', Note that in native TensorFlow, there are two types of variables: regular variables and local (transient) variables. The vast majority of variables are regular variables: once created, they can be saved to disk using a -[saver](https://www.tensorflow.org/versions/r0.9/api_docs/python/state_ops.html#Saver). +[saver](https://www.tensorflow.org/versions/r0.11/api_docs/python/state_ops.html#Saver). Local variables are those variables that only exist for the duration of a session and are not saved to disk. @@ -215,7 +215,7 @@ Dropout| [slim.dropout](https://www.tensorflow.org/code/tensorflow/contrib/layer Flatten | [slim.flatten](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) MaxPool2D | [slim.max_pool2d](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) OneHotEncoding | [slim.one_hot_encoding](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) -SeperableConv2 | [slim.seperable_conv2d](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) +SeparableConv2 | [slim.separable_conv2d](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) UnitNorm | [slim.unit_norm](https://www.tensorflow.org/code/tensorflow/contrib/layers/python/layers/layers.py) TF-Slim also provides two meta-operations called `repeat` and `stack` that @@ -901,7 +901,7 @@ slim.evaluation.evaluation_loop( log_dir, num_evals=num_batches, eval_op=names_to_updates.values(), - summary_op=tf.merge_summary(summary_ops), + summary_op=tf.summary.merge(summary_ops), eval_interval_secs=eval_interval_secs) ``` |