cd856b45b1
* feat:add support dataset_num_processes * chore * required changes * requested chnages * required chnages * required changes * required changes * elif get_default_process_count() * add:del data * Update cicd/Dockerfile.jinja Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> * Update cicd/single_gpu.py Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> --------- Co-authored-by: salman <salman.mohammadi@outlook.com> Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
"""Modal app to run axolotl GPU tests"""
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import os
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import pathlib
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import tempfile
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import jinja2
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import modal
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import modal.experimental
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from jinja2 import select_autoescape
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from modal import App
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cicd_path = pathlib.Path(__file__).parent.resolve()
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template_loader = jinja2.FileSystemLoader(searchpath=cicd_path)
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template_env = jinja2.Environment(
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loader=template_loader, autoescape=select_autoescape()
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)
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dockerfile = os.environ.get("E2E_DOCKERFILE", "Dockerfile.jinja")
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df_template = template_env.get_template(dockerfile)
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df_args = {
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"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
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"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
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"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
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"BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
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"CUDA": os.environ.get("CUDA", "126"),
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"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
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"GITHUB_SHA": os.environ.get("GITHUB_SHA", ""),
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"NIGHTLY_BUILD": os.environ.get("NIGHTLY_BUILD", ""),
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"CODECOV_TOKEN": os.environ.get("CODECOV_TOKEN", ""),
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"HF_HOME": "/workspace/data/huggingface-cache/hub",
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"PYTHONUNBUFFERED": os.environ.get("PYTHONUNBUFFERED", "1"),
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"DEEPSPEED_LOG_LEVEL": os.environ.get("DEEPSPEED_LOG_LEVEL", "WARNING"),
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}
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dockerfile_contents = df_template.render(**df_args)
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temp_dir = tempfile.mkdtemp()
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with open(pathlib.Path(temp_dir) / "Dockerfile", "w", encoding="utf-8") as f:
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f.write(dockerfile_contents)
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cicd_image = modal.experimental.raw_dockerfile_image(
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pathlib.Path(temp_dir) / "Dockerfile",
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# context_mount=None,
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force_build=True,
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# gpu="A10G",
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).env(df_args)
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app = App("Axolotl CI/CD", secrets=[])
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hf_cache_volume = modal.Volume.from_name(
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"axolotl-ci-hf-hub-cache", create_if_missing=True
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)
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VOLUME_CONFIG = {
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"/workspace/data/huggingface-cache/hub": hf_cache_volume,
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}
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N_GPUS = int(os.environ.get("N_GPUS", 1))
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GPU_TYPE = os.environ.get("GPU_TYPE", "L40S")
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GPU_CONFIG = f"{GPU_TYPE}:{N_GPUS}"
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def run_cmd(cmd: str, run_folder: str):
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import subprocess # nosec
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sp_env = os.environ.copy()
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sp_env["AXOLOTL_DATASET_NUM_PROC"] = "8"
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# Propagate errors from subprocess.
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try:
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exit_code = subprocess.call(cmd.split(), cwd=run_folder, env=sp_env) # nosec
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if exit_code:
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print(f"Command '{cmd}' failed with exit code {exit_code}")
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return exit_code
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except Exception as e: # pylint: disable=broad-except
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print(f"Command '{cmd}' failed with exception {e}")
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