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Commit 510e763c authored by Mark Daoust's avatar Mark Daoust Committed by A. Unique TensorFlower
Browse files

Internal change

PiperOrigin-RevId: 440152953
parent 92266d5d
# Copyright 2022 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"""Common library for API docs builder."""
import tensorflow as tf
from tensorflow_docs.api_generator import doc_controls
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
# Copyright 2022 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:
$> pip install -U git+https://github.com/tensorflow/docs
$> python build_nlp_api_docs.py --output_dir=/tmp/api_docs
"""
import pathlib
from absl import app
from absl import flags
from absl import logging
from tensorflow_docs.api_generator import generate_lib
from tensorflow_docs.api_generator import public_api
import tensorflow_models as tfm
import build_api_docs_lib
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/tensorflow_models/nlp',
'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', '/api_docs/python',
'Path prefix in the _toc.yaml')
PROJECT_SHORT_NAME = 'tfm.nlp'
PROJECT_FULL_NAME = 'TensorFlow Official Models - NLP Modeling Library'
def custom_filter(path, parent, children):
if len(path) == 1:
# Don't filter the contents of the top level `tfm.vision` package.
return children
else:
return public_api.explicit_package_contents_filter(path, parent, children)
def gen_api_docs(code_url_prefix, site_path, output_dir, project_short_name,
project_full_name, search_hints):
"""Generates api docs for the tensorflow docs package."""
build_api_docs_lib.hide_module_model_and_layer_methods()
del tfm.nlp.layers.MultiHeadAttention
del tfm.nlp.layers.EinsumDense
url_parts = code_url_prefix.strip('/').split('/')
url_parts = url_parts[:url_parts.index('tensorflow_models')]
url_parts.append('official')
official_url_prefix = '/'.join(url_parts)
nlp_base_dir = pathlib.Path(tfm.nlp.__file__).parent
# The `layers` submodule (and others) are actually defined in the `official`
# package. Find the path to `official`.
official_base_dir = [
p for p in pathlib.Path(tfm.vision.layers.__file__).parents
if p.name == 'official'
][0]
doc_generator = generate_lib.DocGenerator(
root_title=project_full_name,
py_modules=[(project_short_name, tfm.nlp)],
base_dir=[nlp_base_dir, official_base_dir],
code_url_prefix=[
code_url_prefix,
official_url_prefix,
],
search_hints=search_hints,
site_path=site_path,
callbacks=[custom_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,
project_short_name=PROJECT_SHORT_NAME,
project_full_name=PROJECT_FULL_NAME,
search_hints=FLAGS.search_hints)
if __name__ == '__main__':
flags.mark_flag_as_required('output_dir')
app.run(main)
......@@ -25,11 +25,11 @@ from absl import logging
import orbit
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.utils.docs import build_api_docs_lib
FLAGS = flags.FLAGS
flags.DEFINE_string('output_dir', None, 'Where to write the resulting docs to.')
......@@ -48,10 +48,45 @@ PROJECT_SHORT_NAME = 'orbit'
PROJECT_FULL_NAME = 'Orbit'
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, project_short_name,
project_full_name, search_hints):
"""Generates api docs for the tensorflow docs package."""
build_api_docs_lib.hide_module_model_and_layer_methods()
doc_generator = generate_lib.DocGenerator(
root_title=project_full_name,
......
......@@ -25,11 +25,13 @@ import pathlib
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
import tensorflow_models as tfm
from official.utils.docs import build_api_docs_lib
FLAGS = flags.FLAGS
......@@ -47,7 +49,43 @@ flags.DEFINE_string('site_path', '/api_docs/python',
PROJECT_SHORT_NAME = 'tfm'
PROJECT_FULL_NAME = 'TensorFlow Official Models - Modeling Library'
PROJECT_FULL_NAME = 'TensorFlow Modeling Library'
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 custom_filter(path, parent, children):
......@@ -61,7 +99,7 @@ def custom_filter(path, parent, children):
def gen_api_docs(code_url_prefix, site_path, output_dir, project_short_name,
project_full_name, search_hints):
"""Generates api docs for the tensorflow docs package."""
build_api_docs_lib.hide_module_model_and_layer_methods()
hide_module_model_and_layer_methods()
del tfm.nlp.layers.MultiHeadAttention
del tfm.nlp.layers.EinsumDense
......
# Copyright 2022 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:
$> pip install -U git+https://github.com/tensorflow/docs
$> python build_vision_api_docs.py --output_dir=/tmp/api_docs
"""
import pathlib
from absl import app
from absl import flags
from absl import logging
from tensorflow_docs.api_generator import generate_lib
from tensorflow_docs.api_generator import public_api
import tensorflow_models as tfm
import build_api_docs_lib
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/tensorflow_models/vision',
'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', 'tfvision/api_docs/python',
'Path prefix in the _toc.yaml')
PROJECT_SHORT_NAME = 'tfm.vision'
PROJECT_FULL_NAME = 'TensorFlow Official Models - Vision Modeling Library'
def custom_filter(path, parent, children):
if len(path) == 1:
# Don't filter the contents of the top level `tfm.vision` package.
return children
else:
return public_api.explicit_package_contents_filter(path, parent, children)
def gen_api_docs(code_url_prefix, site_path, output_dir, project_short_name,
project_full_name, search_hints):
"""Generates api docs for the tensorflow docs package."""
build_api_docs_lib.hide_module_model_and_layer_methods()
url_parts = code_url_prefix.strip('/').split('/')
url_parts = url_parts[:url_parts.index('tensorflow_models')]
url_parts.append('official')
official_url_prefix = '/'.join(url_parts)
vision_base_dir = pathlib.Path(tfm.vision.__file__).parent
# The `layers` submodule (and others) are actually defined in the `official`
# package. Find the path to `official`.
official_base_dir = [
p for p in pathlib.Path(tfm.vision.layers.__file__).parents
if p.name == 'official'
][0]
doc_generator = generate_lib.DocGenerator(
root_title=project_full_name,
py_modules=[(project_short_name, tfm.vision)],
base_dir=[
vision_base_dir,
official_base_dir,
],
code_url_prefix=[code_url_prefix, official_url_prefix],
search_hints=search_hints,
site_path=site_path,
callbacks=[custom_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,
project_short_name=PROJECT_SHORT_NAME,
project_full_name=PROJECT_FULL_NAME,
search_hints=FLAGS.search_hints)
if __name__ == '__main__':
flags.mark_flag_as_required('output_dir')
app.run(main)
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