diff options
| 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/contrib/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/contrib/layers')
| -rw-r--r-- | tensorflow/contrib/layers/python/layers/initializers.py | 4 | ||||
| -rw-r--r-- | tensorflow/contrib/layers/python/layers/layers.py | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/layers/python/layers/initializers.py b/tensorflow/contrib/layers/python/layers/initializers.py index 51610f21b2..1192198ec2 100644 --- a/tensorflow/contrib/layers/python/layers/initializers.py +++ b/tensorflow/contrib/layers/python/layers/initializers.py @@ -47,7 +47,7 @@ def xavier_initializer(uniform=True, seed=None, dtype=dtypes.float32): Args: uniform: Whether to use uniform or normal distributed random initialization. seed: A Python integer. Used to create random seeds. See - @{tf.set_random_seed} for behavior. + `tf.set_random_seed` for behavior. dtype: The data type. Only floating point types are supported. Returns: @@ -98,7 +98,7 @@ def variance_scaling_initializer(factor=2.0, mode='FAN_IN', uniform=False, mode: String. 'FAN_IN', 'FAN_OUT', 'FAN_AVG'. uniform: Whether to use uniform or normal distributed random initialization. seed: A Python integer. Used to create random seeds. See - @{tf.set_random_seed} for behavior. + `tf.set_random_seed` for behavior. dtype: The data type. Only floating point types are supported. Returns: diff --git a/tensorflow/contrib/layers/python/layers/layers.py b/tensorflow/contrib/layers/python/layers/layers.py index 6250f88529..04668f112d 100644 --- a/tensorflow/contrib/layers/python/layers/layers.py +++ b/tensorflow/contrib/layers/python/layers/layers.py @@ -1584,7 +1584,7 @@ def dropout(inputs, outputs_collections: Collection to add the outputs. scope: Optional scope for name_scope. seed: A Python integer. Used to create random seeds. See - @{tf.set_random_seed} for behavior. + `tf.set_random_seed` for behavior. Returns: A tensor representing the output of the operation. |