-
Notifications
You must be signed in to change notification settings - Fork 2.2k
🏃 Migrate CI to self-hosted runners #3174
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
with: | ||
fetch-depth: 0 | ||
submodules: recursive |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
we don't need it
defaults: | ||
run: | ||
shell: bash |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
bash
is needed otherwise it uses sh
which doesn't have source
cache: "pip" | ||
cache-dependency-path: | | ||
setup.py | ||
requirements.txt |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
not compatible with the runner (I don't think it's very useful anyway)
run: | | ||
apt-get update && apt-get install -y make git curl | ||
- name: Install uv |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Much faster installation with uv
self.assertFalse(torch.equal(param, new_param), f"Parameter {n} has not changed.") | ||
|
||
@unittest.skipIf(sys.platform.startswith("win"), "Skipping on Windows") # compiling seems to be broken on Windows | ||
def test_training_torch_compile(self): |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
this test was veeeery slow
I'll merge because for now the CI is broken, but I'm still interested in your remarks if any |
…ggingface#3131) Co-authored-by: Quentin Gallouédec <[email protected]> Co-authored-by: Quentin Gallouédec <[email protected]> log answer key to wandb all Table HTML logging table bump patch hmm formatting html esacape reward isnt string [Liger] Liger KTO support (huggingface#2812) Co-authored-by: Kashif Rasul <[email protected]> Co-authored-by: Quentin Gallouédec <[email protected]> 🏃 Migrate CI to self-hosted runners (huggingface#3174) ❤️🩹 [CI] fix transformers dev CI failure (huggingface#3176) Co-authored-by: Quentin Gallouédec <[email protected]> ⏯️ Fix: handle None inputs when resuming GRPO Trainer from checkpoint (huggingface#3148) Co-authored-by: Quentin Gallouédec <[email protected]> 📎 Fix is_clipped to compute the effective clip_ratio (huggingface#3175) Co-authored-by: Quentin Gallouédec <[email protected]> Co-authored-by: Quentin Gallouédec <[email protected]> Fix breaking typo for flash_attention reducing_memory_usage.md (huggingface#3190) Show unique prompts in GRPO WandB tables (huggingface#3191) 🐗 [CI] Fix trufflehog false positives (huggingface#3192) [GRPO] Improve completion length logging (huggingface#3188) preliminary openai compatible endpoint early concept, needs refining dedupe debug print some slop to work on unslop, missing hist almost valid pseudocode middle-ware monkey patch in mp.Pool()... remove unused More accurate .md need gpu renting lambda again much nicer small aider-chat and datasets conflict risky reqs change should work, but hacky some insights, but monkeypatching probably wont suffice refactor: Rewrite test script to use SWE-bench dataset with MultiProcessAider refactor: Remove logging statements from test.py one step closer finally, the correct abstraction doc todo unslop unslop undo accidental black cleaner abstraction new abstraction
This PR:
Migration of our CI to a self-hosted runner. This allows us to test on more relevant hardware, since it has 1 GPU. (instead of CPU only)
Give up support for Windows. Reasons:
Note that this doesn't mean that TRL no longer works with Windows, it's just that we no longer test it and no longer officially support it.
🏎️💨 2.5x faster