You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
pytorch-image-models/CONTRIBUTING.md

113 lines
4.1 KiB

*This guideline is very much a work-in-progress.*
Contriubtions to `timm` for code, documentation, tests are more than welcome!
There haven't been any formal guidelines to date so please bear with me, and feel free to add to this guide.
# Coding style
Code linting and auto-format (black) are not currently in place but open to consideration. In the meantime, the style to follow is (mostly) aligned with Google's guide: https://google.github.io/styleguide/pyguide.html.
A few specific differences from Google style (or black)
1. Line length is 120 char. Going over is okay in some cases (e.g. I prefer not to break URL across lines).
2. Hanging indents are always prefered, please avoid aligning arguments with closing brackets or braces.
Example, from Google guide, but this is a NO here:
```
# Aligned with opening delimiter.
foo = long_function_name(var_one, var_two,
var_three, var_four)
meal = (spam,
beans)
# Aligned with opening delimiter in a dictionary.
foo = {
'long_dictionary_key': value1 +
value2,
...
}
```
This is YES:
```
# 4-space hanging indent; nothing on first line,
# closing parenthesis on a new line.
foo = long_function_name(
var_one, var_two, var_three,
var_four
)
meal = (
spam,
beans,
)
# 4-space hanging indent in a dictionary.
foo = {
'long_dictionary_key':
long_dictionary_value,
...
}
```
When there is descrepancy in a given source file (there are many origins for various bits of code and not all have been updated to what I consider current goal), please follow the style in a given file.
In general, if you add new code, formatting it with black using the following options should result in a style that is compatible with the rest of the code base:
```
black --skip-string-normalization --line-length 120 <path-to-file>
```
Avoid formatting code that is unrelated to your PR though.
PR with pure formatting / style fixes will be accepted but only in isolation from functional changes, best to ask before starting such a change.
# Documentation
As with code style, docstrings style based on the Google guide: guide: https://google.github.io/styleguide/pyguide.html
The goal for the code is to eventually move to have all major functions and `__init__` methods use PEP484 type annotations.
When type annotations are used for a function, as per the Google pyguide, they should **NOT** be duplicated in the docstrings, please leave annotations as the one source of truth re typing.
There are a LOT of gaps in current documentation relative to the functionality in timm, please, document away!
# Installation
Create a Python virtual environment using Python 3.10. Inside the environment, install the following test dependencies:
```
python -m pip install pytest pytest-timeout pytest-xdist pytest-forked expecttest
```
Install `torch` and `torchvision` using the instructions matching your system as listed on the [PyTorch website](https://pytorch.org/).
Then install the remaining dependencies:
```
python -m pip install -r requirements.txt
python -m pip install --no-cache-dir git+https://github.com/mapillary/inplace_abn.git
python -m pip install -e .
```
## Unit tests
Run the tests using:
```
pytest tests/
```
Since the whole test suite takes a lot of time to run locally (a few hours), you may want to select a subset of tests relating to the changes you made by using the `-k` option of [`pytest`](https://docs.pytest.org/en/7.1.x/example/markers.html#using-k-expr-to-select-tests-based-on-their-name). Moreover, running tests in parallel (in this example 4 processes) with the `-n` option may help:
```
pytest -k "substring-to-match" -n 4 tests/
```
## Building documentation
Please refer to [this document](https://github.com/huggingface/pytorch-image-models/tree/main/hfdocs).
# Questions
If you have any questions about contribution, where / how to contribute, please ask in the [Discussions](https://github.com/huggingface/pytorch-image-models/discussions/categories/contributing) (there is a `Contributing` topic).