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build_docs.py
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# Copyright 2019 Google LLC
#
# 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.
"""Generate docs API for TF Lattice.
Example run:
```
python build_docs.py --output_dir=/path/to/output
```
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
from absl import app
from absl import flags
from tensorflow_docs.api_generator import generate_lib
from tensorflow_docs.api_generator import public_api
import tensorflow_lattice as tfl
flags.DEFINE_string('output_dir', '/tmp/tfl_api/',
'The path to output the files to')
flags.DEFINE_string(
'code_url_prefix',
'https://github.com/tensorflow/lattice/blob/master/tensorflow_lattice',
'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', 'lattice/api_docs/python',
'Path prefix in the _toc.yaml')
FLAGS = flags.FLAGS
def local_definitions_filter(path, parent, children):
"""Filters local imports, except for the tfl.layers module."""
if path == ('tfl', 'layers'):
return children
return public_api.local_definitions_filter(path, parent, children)
def main(_):
private_map = {
'tfl': ['python'],
'tfl.aggregation_layer': ['Aggregation'],
'tfl.categorical_calibration_layer': ['CategoricalCalibration'],
'tfl.lattice_layer': ['Lattice'],
'tfl.linear_layer': ['Linear'],
'tfl.pwl_calibration_layer': ['PWLCalibration'],
'tfl.parallel_combination_layer': ['ParallelCombination'],
'tfl.rtl_layer': ['RTL'],
}
doc_generator = generate_lib.DocGenerator(
root_title='TensorFlow Lattice 2.0',
py_modules=[('tfl', tfl)],
base_dir=os.path.dirname(tfl.__file__),
code_url_prefix=FLAGS.code_url_prefix,
search_hints=FLAGS.search_hints,
site_path=FLAGS.site_path,
private_map=private_map,
callbacks=[local_definitions_filter])
sys.exit(doc_generator.build(output_dir=FLAGS.output_dir))
if __name__ == '__main__':
app.run(main)