Updates for trl 0.16.0 - mostly for GRPO (#2437) [skip ci]

* add grpo scale_rewards config for trl#3135

* options to connect to vllm server directly w grpo trl#3094

* temperature support trl#3029

* sampling/generation kwargs for grpo trl#2989

* make vllm_enable_prefix_caching a config param trl#2900

* grpo multi-step optimizeations trl#2899

* remove overrides for grpo trainer

* bump trl to 0.16.0

* add cli  to start vllm-serve via trl

* call the python module directly

* update to use vllm with 2.6.0 too now and call trl vllm serve from module

* vllm 0.8.1

* use python3

* use sys.executable

* remove context and wait for start

* fixes to make it actually work

* fixes so the grpo tests pass with new vllm paradigm

* explicit host/port and check in start vllm

* make sure that vllm doesn't hang by setting quiet so outouts go to dev null

* also bump bnb to latest release

* add option for wait from cli and nccl debugging for ci

* grpo + vllm test on separate devices for now

* make sure grpo + vllm tests runs single worker since pynccl comms would conflict

* fix cli

* remove wait and add caching for argilla dataset

* refactoring configs

* chore: lint

* add vllm config

* fixup vllm grpo args

* fix one more incorrect schema/config path

* fix another vlllm reference and increase timeout

* make the tests run a bit faster

* change mbsz back so it is correct for grpo

* another change mbsz back so it is correct for grpo

* fixing cli args

* nits

* adding docs

* docs

* include tensor parallel size for vllm in pydantic schema

* moving start_vllm, more docs

* limit output len for grpo vllm

* vllm enable_prefix_caching isn't a bool cli arg

* fix env ordering in tests and also use pid check when looking for vllm

---------

Co-authored-by: Salman Mohammadi <salman.mohammadi@outlook.com>
This commit is contained in:
Wing Lian
2025-03-31 15:47:11 -04:00
committed by GitHub
parent b35992262e
commit b6fc46ada8
24 changed files with 703 additions and 349 deletions

View File

@@ -10,7 +10,7 @@ from pathlib import Path
from setuptools import find_packages, setup
def parse_requirements():
def parse_requirements(extras_require_map):
_install_requires = []
_dependency_links = []
with open("./requirements.txt", encoding="utf-8") as requirements_file:
@@ -67,6 +67,7 @@ def parse_requirements():
if (major, minor) >= (2, 6):
_install_requires.pop(_install_requires.index(xformers_version))
_install_requires.append("xformers==0.0.29.post2")
extras_require_map["vllm"] = ["vllm==0.8.1"]
elif (major, minor) >= (2, 5):
_install_requires.pop(_install_requires.index(xformers_version))
if patch == 0:
@@ -86,7 +87,7 @@ def parse_requirements():
except PackageNotFoundError:
pass
return _install_requires, _dependency_links
return _install_requires, _dependency_links, extras_require_map
def get_package_version():
@@ -103,7 +104,46 @@ def get_package_version():
return version_
install_requires, dependency_links = parse_requirements()
extras_require = {
"flash-attn": ["flash-attn==2.7.4.post1"],
"ring-flash-attn": ["ring-flash-attn>=0.1.4", "yunchang==0.6.0"],
"deepspeed": [
"deepspeed==0.16.4",
"deepspeed-kernels",
],
"mamba-ssm": [
"mamba-ssm==1.2.0.post1",
"causal_conv1d",
],
"auto-gptq": [
"auto-gptq==0.5.1",
],
"mlflow": [
"mlflow",
],
"galore": [
"galore_torch",
],
"apollo": [
"apollo-torch",
],
"optimizers": [
"galore_torch",
"apollo-torch",
"lomo-optim==0.1.1",
"torch-optimi==0.2.1",
],
"ray": [
"ray[train]",
],
"vllm": [
"vllm==0.7.2",
],
}
install_requires, dependency_links, extras_require_build = parse_requirements(
extras_require
)
setup(
version=get_package_version(),
@@ -116,40 +156,5 @@ setup(
"axolotl=axolotl.cli.main:main",
],
},
extras_require={
"flash-attn": ["flash-attn==2.7.4.post1"],
"ring-flash-attn": ["ring-flash-attn>=0.1.4", "yunchang==0.6.0"],
"deepspeed": [
"deepspeed==0.16.4",
"deepspeed-kernels",
],
"mamba-ssm": [
"mamba-ssm==1.2.0.post1",
"causal_conv1d",
],
"auto-gptq": [
"auto-gptq==0.5.1",
],
"mlflow": [
"mlflow",
],
"galore": [
"galore_torch",
],
"apollo": [
"apollo-torch",
],
"optimizers": [
"galore_torch",
"apollo-torch",
"lomo-optim==0.1.1",
"torch-optimi==0.2.1",
],
"ray": [
"ray[train]",
],
"vllm": [
"vllm==0.7.2",
],
},
extras_require=extras_require_build,
)