Ray Train Axolotl Integration (#2251)

* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* fix bf16 resolution behavior

* move dtype logic

* x

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* rename

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* add to sidebar

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* Apply suggestions from code review

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* Update docs/ray-integration.qmd

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* pre-commit fixes

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* use output_dir instead of hardcoded saves path

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* bugfix storage dir

* change type\ for resources_per_worker

---------

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Sumanth R Hegde <39546518+SumanthRH@users.noreply.github.com>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
This commit is contained in:
Eric Tang
2025-01-28 21:10:19 -08:00
committed by GitHub
parent 54dd7abfc1
commit 268543a3be
16 changed files with 492 additions and 100 deletions

View File

@@ -150,5 +150,8 @@ setup(
"lomo-optim==0.1.1",
"torch-optimi==0.2.1",
],
"ray": [
"ray[train]",
],
},
)