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Fix docstring of lookup ops.

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PiperOrigin-RevId: 225462083
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A. Unique TensorFlower 2018-12-13 17:06:24 -08:00 committed by TensorFlower Gardener
parent 352a08f34f
commit 97fe55e68b
2 changed files with 8 additions and 8 deletions
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8
tensorflow/contrib/lookup/lookup_ops.py
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@ -91,7 +91,7 @@ def index_table_from_tensor(mapping,
The bucket ID range is `[mapping size, mapping size + num_oov_buckets - 1]`.
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.initializer.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
Elements in `mapping` cannot have duplicates, otherwise when executing the
table initializer op, it will throw a `FailedPreconditionError`.
@ -158,7 +158,7 @@ def string_to_index(tensor, mapping, default_value=-1, name=None):
will throw a FailedPreconditionError.
The underlying table must be initialized by calling
`tf.tables_initializer.run()` once.
`session.run(tf.tables_initializer)` once.
For example:
@ -202,7 +202,7 @@ def index_to_string_table_from_tensor(mapping, default_value="UNK", name=None):
(an out-of-vocabulary entry) is assigned the `default_value`
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.initializer.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
Elements in `mapping` cannot have duplicates, otherwise when executing the
table initializer op, it will throw a `FailedPreconditionError`.
@ -257,7 +257,7 @@ def index_to_string(tensor, mapping, default_value="UNK", name=None):
(an out-of-vocabulary entry) is assigned the `default_value`
The underlying table must be initialized by calling
`tf.tables_initializer.run()` once.
`session.run(tf.tables_initializer)` once.
For example:

8
tensorflow/python/ops/lookup_ops.py
View File

@ -948,7 +948,7 @@ def index_table_from_file(vocabulary_file=None,
`[vocabulary size, vocabulary size + num_oov_buckets - 1]`.
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.init.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
To specify multi-column vocabulary files, use key_column_index and
value_column_index and delimiter.
@ -1077,7 +1077,7 @@ def index_table_from_tensor(vocabulary_list,
`[vocabulary list size, vocabulary list size + num_oov_buckets - 1]`.
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.init.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
Elements in `vocabulary_list` cannot have duplicates, otherwise when executing
the table initializer op, it will throw a `FailedPreconditionError`.
@ -1179,7 +1179,7 @@ def index_to_string_table_from_file(vocabulary_file,
(an out-of-vocabulary entry) is assigned the `default_value`
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.init.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
To specify multi-column vocabulary files, use key_column_index and
value_column_index and delimiter.
@ -1276,7 +1276,7 @@ def index_to_string_table_from_tensor(vocabulary_list,
(an out-of-vocabulary entry) is assigned the `default_value`
The underlying table must be initialized by calling
`tf.tables_initializer.run()` or `table.init.run()` once.
`session.run(tf.tables_initializer)` or `session.run(table.init)` once.
Elements in `vocabulary_list` cannot have duplicates, otherwise when executing
the table initializer op, it will throw a `FailedPreconditionError`.