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Commit 9815ea67 authored by Chen Chen's avatar Chen Chen Committed by A. Unique TensorFlower
Browse files

Generator for tf-nlp modeling library API docs.

PiperOrigin-RevId: 356629859
parent a2ebafbb
# Lint as: python3
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
r"""Tool to generate api_docs for tensorflow_models/official library.
Example:
python build_docs \
--output_dir=/tmp/api_docs \
--project_short_name=tf_nlp.modeling \
--project_full_name="TensorFlow Official Models - NLP Modeling Library"
"""
import os
from absl import app
from absl import flags
from absl import logging
import tensorflow as tf
from tensorflow_docs.api_generator import doc_controls
from tensorflow_docs.api_generator import generate_lib
from tensorflow_docs.api_generator import public_api
from official.nlp import modeling as tf_nlp_modeling
FLAGS = flags.FLAGS
flags.DEFINE_string('output_dir', None, 'Where to write the resulting docs to.')
flags.DEFINE_string(
'code_url_prefix',
'https://github.com/tensorflow/models/blob/master/official/nlp/modeling/',
'The url prefix for links to code.')
flags.DEFINE_bool('search_hints', True,
'Include metadata search hints in the generated files')
flags.DEFINE_string('site_path', 'tf_nlp_modeling/api_docs/python',
'Path prefix in the _toc.yaml')
flags.DEFINE_bool('gen_report', False,
'Generate an API report containing the health of the '
'docstrings of the public API.')
flags.DEFINE_string(
'project_short_name', 'tf_nlp.modeling',
'The project short name referring to the python module to document.')
flags.DEFINE_string('project_full_name',
'TensorFlow Official Models - NLP Modeling Library',
'The main title for the project.')
def _hide_module_model_and_layer_methods():
"""Hide methods and properties defined in the base classes of Keras layers.
We hide all methods and properties of the base classes, except:
- `__init__` is always documented.
- `call` is always documented, as it can carry important information for
complex layers.
"""
module_contents = list(tf.Module.__dict__.items())
model_contents = list(tf.keras.Model.__dict__.items())
layer_contents = list(tf.keras.layers.Layer.__dict__.items())
for name, obj in module_contents + layer_contents + model_contents:
if name == '__init__':
# Always document __init__.
continue
if name == 'call':
# Always document `call`.
if hasattr(obj, doc_controls._FOR_SUBCLASS_IMPLEMENTERS): # pylint: disable=protected-access
delattr(obj, doc_controls._FOR_SUBCLASS_IMPLEMENTERS) # pylint: disable=protected-access
continue
# Otherwise, exclude from documentation.
if isinstance(obj, property):
obj = obj.fget
if isinstance(obj, (staticmethod, classmethod)):
obj = obj.__func__
try:
doc_controls.do_not_doc_in_subclasses(obj)
except AttributeError:
pass
def gen_api_docs(code_url_prefix, site_path, output_dir, gen_report,
project_short_name, project_full_name, search_hints):
"""Generates api docs for the tensorflow docs package."""
_hide_module_model_and_layer_methods()
doc_generator = generate_lib.DocGenerator(
root_title=project_full_name,
py_modules=[(project_short_name, tf_nlp_modeling)],
base_dir=os.path.dirname(tf_nlp_modeling.__file__),
code_url_prefix=code_url_prefix,
search_hints=search_hints,
site_path=site_path,
gen_report=gen_report,
callbacks=[public_api.explicit_package_contents_filter],
)
doc_generator.build(output_dir)
logging.info('Output docs to: %s', output_dir)
def main(argv):
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
gen_api_docs(
code_url_prefix=FLAGS.code_url_prefix,
site_path=FLAGS.site_path,
output_dir=FLAGS.output_dir,
gen_report=FLAGS.gen_report,
project_short_name=FLAGS.project_short_name,
project_full_name=FLAGS.project_full_name,
search_hints=FLAGS.search_hints)
if __name__ == '__main__':
flags.mark_flag_as_required('output_dir')
app.run(main)
# Lint as: python3
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for official.tools.build_docs."""
import os
import shutil
import tensorflow as tf
from official.utils.docs import build_docs
class BuildDocsTest(tf.test.TestCase):
def setUp(self):
super(BuildDocsTest, self).setUp()
self.workdir = self.get_temp_dir()
if os.path.exists(self.workdir):
shutil.rmtree(self.workdir)
os.makedirs(self.workdir)
def test_api_gen(self):
build_docs.gen_api_docs(
code_url_prefix="http://official/nlp/modeling/",
site_path="tf_nlp_modeling/api_docs/python",
output_dir=self.workdir,
gen_report=False,
project_short_name="tf_nlp_modeling",
project_full_name="TensorFlow Modeling - NLP Library",
search_hints=True)
# Check that the "defined in" section is working
with open(os.path.join(self.workdir, "tf_nlp_modeling.md")) as f:
content = f.read()
self.assertIn("__init__.py", content)
if __name__ == "__main__":
tf.test.main()
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