Files
modelscope/docs
wenmeng.zwm 274cf6ffa9 [to #42362425] fix audio_requirement and refine quickstart, changelog doc
* make audio requirements optional
 * add changelog for version v0.2
 * add numpy constraint for compatibility with tensorflow1.15
 * update faq
 * fix nlp requiring tensorflow
 * add torchvision to multimodal dependency
 * bump version from 0.2.1 to 0.2.2
 * add warning msg when tensorflow is not installed
 
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9268278
2022-07-05 21:44:33 +08:00
..

maintain docs

  1. build docs

    # in root directory:
    make docs
    
  2. doc string format

    We adopt the google style docstring format as the standard, please refer to the following documents.

    1. Google Python style guide docstring link
    2. Google docstring example link
    3. sampletorch.nn.modules.conv link
    4. 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.
        """