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Enhance pytorch nn (#917)

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* enhance pytorch_nn

* fix dim bug

* Black format

* Fix pylint error
This commit is contained in:
you-n-g
2022-02-15 19:22:48 +08:00
committed by GitHub
parent 0e8b94a552
commit 60d45ad770
13 changed files with 281 additions and 139 deletions
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docs/developer/code_standard.rst
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@@ -14,9 +14,19 @@ Continuous Integration (CI) tools help you stick to the quality standards by run
When you submit a PR request, you can check whether your code passes the CI tests in the "check" section at the bottom of the web page.
A common error is the mixed use of space and tab. You can fix the bug by inputing the following code in the command line.
1. Qlib will check the code format with black. The PR will raise error if your code does not align to the standard of Qlib(e.g. a common error is the mixed use of space and tab).
You can fix the bug by inputing the following code in the command line.
.. code-block:: python
pip install black
python -m black . -l 120
2. Qlib will check your code style pylint. The checking command is implemented in [github action workflow](https://github.com/microsoft/qlib/blob/0e8b94a552f1c457cfa6cd2c1bb3b87ebb3fb279/.github/workflows/test.yml#L66).
Sometime pylint's restrictions are not that reasonable. You can ignore specific errors like this
.. code-block:: python
return -ICLoss()(pred, target, index) # pylint: disable=E1130