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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9061073 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9061073 * [to #41669377] docs and tools refinement and release 1. add build_doc linter script 2. add sphinx-docs support 3. add development doc and api doc 4. change version to 0.1.0 for the first internal release version Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307 * [to #41669377] add pipeline tutorial and fix bugs 1. add pipleine tutorial 2. fix bugs when using pipeline with certain model and preprocessor Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301 * refine doc * refine doc * merge remote release/0.1 and fix conflict * Merge branch 'release/0.1' into 'nls/tts' Release/0.1 See merge request !1700968 * [Add] add tts preprocessor without requirements. finish requirements build later * [Add] add requirements and frd submodule * [Fix] remove models submodule * [Add] add am module * [Update] update am and vocoder * [Update] remove submodule * [Update] add models * [Fix] fix init error * [Fix] fix bugs with tts pipeline * merge master * [Update] merge from master * remove frd subdmoule and using wheel from oss * change scripts * [Fix] fix bugs in am and vocoder * [Merge] merge from master * Merge branch 'master' into nls/tts * [Fix] fix bugs * [Fix] fix pep8 * Merge branch 'master' into nls/tts * [Update] remove hparams and import configuration from kwargs * Merge branch 'master' into nls/tts * upgrade tf113 to tf115 * Merge branch 'nls/tts' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into nls/tts * add multiple versions of ttsfrd * merge master * [Fix] fix cr comments * Merge branch 'master' into nls/tts * [Fix] fix cr comments 0617 * Merge branch 'master' into nls/tts * [Fix] remove comment out codes * [Merge] merge from master * [Fix] fix crash for incompatible tf and pytorch version, and frd using zip file resource * Merge branch 'master' into nls/tts * [Add] add cuda support
maintain docs
-
build docs
# in root directory: make docs -
doc string format
We adopt the google style docstring format as the standard, please refer to the following documents.
- Google Python style guide docstring link
- Google docstring example link
- sample:torch.nn.modules.conv link
- load function as an example:
def load(file, file_format=None, **kwargs): """Load data from json/yaml/pickle files. This method provides a unified api for loading data from serialized files. Args: file (str or :obj:`Path` or file-like object): Filename or a file-like object. file_format (str, optional): If not specified, the file format will be inferred from the file extension, otherwise use the specified one. Currently supported formats include "json", "yaml/yml". Examples: >>> load('/path/of/your/file') # file is storaged in disk >>> load('https://path/of/your/file') # file is storaged in Internet >>> load('oss://path/of/your/file') # file is storaged in petrel Returns: The content from the file. """