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1. Merge(add) daily regression from github PR (daily_regression.yaml) 2. Add lora stable diffusion from github PR Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13010802 * fix: device arg not work, rename device to ngpu (#272) * Correcting the lora stable diffusion example script (#300) * add vad model and punc model in README.md add vad model and punc model * Merge pull request #302 from modelscope/langgz-patch-1 add vad model and punc model in README.md * add 1.6 * modify ignore * Merge pull request #307 from modelscope/dev_rs_16 Merge release 1.6 * undo datetime to 2099 * Merge pull request #311 from modelscope/fix_master_version undo datetime to 2099 * add daily regression workflow * modify workflow name * fix cron format issue * lora trainer * Merge pull request #315 from liuyhwangyh/add_regression_workflow add daily regression workflow
maintain docs
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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 stored in disk >>> load('https://path/of/your/file') # file is stored on internet >>> load('oss://path/of/your/file') # file is stored in petrel Returns: The content from the file. """