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| author |  Mark Daoust <markdaoust@google.com> | 2018-08-09 07:03:39 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-09 07:08:30 -0700 |
| commit | f40a875355557483aeae60ffcf757fc9626c752b (patch) | |
| tree | 7f642a6fd12495c1c7d9b2f3a37e376d8ee6d2c9 /tensorflow/python/layers | |
| parent | fd9fc4b4b69f7fce60497bbaf5cbd958f12ead8d (diff) | |
Remove usage of magic-api-link syntax from source files.
Back-ticks are now converted to links in the api_docs generator. With the new docs repo we're moving to simplify the docs pipeline, and make everything more readable.
By doing this we no longer get test failures for symbols that don't exist (`tf.does_not_exist` will not get a link).
There is also no way, not to set custom link text. That's okay.
This is the result of the following regex replacement (+ a couple of manual edits.):
re: @\{([^$].*?)(\$.+?)?}
sub: `\1`
Which does the following replacements:
"@{tf.symbol}" --> "`tf.symbol`"
"@{tf.symbol$link_text}" --> "`tf.symbol`"
PiperOrigin-RevId: 208042358
Diffstat (limited to 'tensorflow/python/layers')
| -rw-r--r-- | tensorflow/python/layers/base.py | 4 | ||||
| -rw-r--r-- | tensorflow/python/layers/core.py | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/layers/base.py b/tensorflow/python/layers/base.py index cf13b52617..ab08865532 100644 --- a/tensorflow/python/layers/base.py +++ b/tensorflow/python/layers/base.py @@ -183,13 +183,13 @@ class Layer(base_layer.Layer): use_resource: Whether to use `ResourceVariable`. synchronization: Indicates when a distributed a variable will be aggregated. Accepted values are constants defined in the class - @{tf.VariableSynchronization}. By default the synchronization is set to + `tf.VariableSynchronization`. By default the synchronization is set to `AUTO` and the current `DistributionStrategy` chooses when to synchronize. If `synchronization` is set to `ON_READ`, `trainable` must not be set to `True`. aggregation: Indicates how a distributed variable will be aggregated. Accepted values are constants defined in the class - @{tf.VariableAggregation}. + `tf.VariableAggregation`. partitioner: (optional) partitioner instance (callable). If provided, when the requested variable is created it will be split into multiple partitions according to `partitioner`. In this case, diff --git a/tensorflow/python/layers/core.py b/tensorflow/python/layers/core.py index 261281ae7e..50a56736fc 100644 --- a/tensorflow/python/layers/core.py +++ b/tensorflow/python/layers/core.py @@ -203,7 +203,7 @@ class Dropout(keras_layers.Dropout, base.Layer): to be the same for all timesteps, you can use `noise_shape=[batch_size, 1, features]`. seed: A Python integer. Used to create random seeds. See - @{tf.set_random_seed}. + `tf.set_random_seed`. for behavior. name: The name of the layer (string). """ @@ -248,7 +248,7 @@ def dropout(inputs, to be the same for all timesteps, you can use `noise_shape=[batch_size, 1, features]`. seed: A Python integer. Used to create random seeds. See - @{tf.set_random_seed} + `tf.set_random_seed` for behavior. training: Either a Python boolean, or a TensorFlow boolean scalar tensor (e.g. a placeholder). Whether to return the output in training mode |