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axolotl/cicd/single_gpu.py
Wing Lian c6d69d5c1b
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release v0.11.0 (#2875)
* release v0.11.0

* don't build vllm into release for now

* remove 2.5.1 references

* smollm3 multipack support

* fix ordering of e2e tests
2025-07-09 09:22:35 -04:00

71 lines
2.2 KiB
Python

"""Modal app to run axolotl GPU tests"""
# pylint: disable=duplicate-code
import os
import pathlib
import tempfile
import jinja2
import modal
import modal.experimental
from jinja2 import select_autoescape
from modal import App
cicd_path = pathlib.Path(__file__).parent.resolve()
template_loader = jinja2.FileSystemLoader(searchpath=cicd_path)
template_env = jinja2.Environment(
loader=template_loader, autoescape=select_autoescape()
)
dockerfile = os.environ.get("E2E_DOCKERFILE", "Dockerfile.jinja")
df_template = template_env.get_template(dockerfile)
df_args = {
"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
"BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
"CUDA": os.environ.get("CUDA", "126"),
"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
"GITHUB_SHA": os.environ.get("GITHUB_SHA", ""),
"NIGHTLY_BUILD": os.environ.get("NIGHTLY_BUILD", ""),
"CODECOV_TOKEN": os.environ.get("CODECOV_TOKEN", ""),
"HF_HOME": "/workspace/data/huggingface-cache/hub",
"PYTHONUNBUFFERED": os.environ.get("PYTHONUNBUFFERED", "1"),
"DEEPSPEED_LOG_LEVEL": os.environ.get("DEEPSPEED_LOG_LEVEL", "WARNING"),
}
dockerfile_contents = df_template.render(**df_args)
temp_dir = tempfile.mkdtemp()
with open(pathlib.Path(temp_dir) / "Dockerfile", "w", encoding="utf-8") as f:
f.write(dockerfile_contents)
cicd_image = modal.experimental.raw_dockerfile_image(
pathlib.Path(temp_dir) / "Dockerfile",
# context_mount=None,
force_build=True,
# gpu="A10G",
).env(df_args)
app = App("Axolotl CI/CD", secrets=[])
hf_cache_volume = modal.Volume.from_name(
"axolotl-ci-hf-hub-cache", create_if_missing=True
)
VOLUME_CONFIG = {
"/workspace/data/huggingface-cache/hub": hf_cache_volume,
}
N_GPUS = int(os.environ.get("N_GPUS", 1))
GPU_CONFIG = f"L40S:{N_GPUS}"
def run_cmd(cmd: str, run_folder: str):
import subprocess # nosec
# Propagate errors from subprocess.
if exit_code := subprocess.call(cmd.split(), cwd=run_folder): # nosec
exit(exit_code) # pylint: disable=consider-using-sys-exit