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[assets] fix npu docker (#8298)

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Yaowei Zheng 2025-06-05 19:09:20 +08:00 committed by GitHub
parent 1a33d65a56
commit ed70f8d5a2
5 changed files with 34 additions and 30 deletions
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2
docker/docker-cuda/Dockerfile
View File

@ -27,7 +27,7 @@ WORKDIR /app
# Change pip source
RUN pip config set global.index-url "${PIP_INDEX}" && \
pip config set global.extra-index-url "${PIP_INDEX}" && \
python -m pip install --upgrade pip
pip install --no-cache-dir --upgrade pip packaging wheel setuptools
# Install the requirements
COPY requirements.txt /app

2
docker/docker-cuda/Dockerfile.base
View File

@ -40,7 +40,7 @@ RUN apt-get update && \
# Change pip source
RUN pip config set global.index-url "${PIP_INDEX}" && \
pip config set global.extra-index-url "${PIP_INDEX}" && \
python -m pip install --upgrade pip
pip install --no-cache-dir --upgrade pip packaging wheel setuptools
# Install flash-attn-2.7.4.post1 (cxx11abi=False)
RUN wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp311-cp311-linux_x86_64.whl && \

2
docker/docker-npu/Dockerfile
View File

@ -26,7 +26,7 @@ WORKDIR /app
# Change pip source
RUN pip config set global.index-url "${PIP_INDEX}" && \
pip config set global.extra-index-url "${PIP_INDEX}" && \
python -m pip install --upgrade pip
pip install --no-cache-dir --upgrade pip packaging wheel setuptools
# Install the requirements
COPY requirements.txt /app

4
docker/docker-rocm/Dockerfile
View File

@ -28,11 +28,11 @@ WORKDIR /app
# Change pip source
RUN pip config set global.index-url "${PIP_INDEX}" && \
pip config set global.extra-index-url "${PIP_INDEX}" && \
python -m pip install --upgrade pip
pip install --no-cache-dir --upgrade pip packaging wheel setuptools
# Reinstall pytorch rocm
RUN pip uninstall -y torch torchvision torchaudio && \
pip install --pre torch torchvision torchaudio --index-url "${PYTORCH_INDEX}"
pip install --no-cache-dir --pre torch torchvision torchaudio --index-url "${PYTORCH_INDEX}"
# Install the requirements
COPY requirements.txt /app

54
src/llamafactory/cli.py
View File

@ -18,8 +18,6 @@ import sys
from copy import deepcopy
from functools import partial
from .hparams import get_train_args
USAGE = (
"-" * 70
@ -78,18 +76,20 @@ def main():
command = sys.argv.pop(1) if len(sys.argv) > 1 else "help"
if command == "train" and (is_env_enabled("FORCE_TORCHRUN") or (get_device_count() > 1 and not use_ray())):
# launch distributed training
max_restarts = os.getenv("MAX_RESTARTS", "0")
rdzv_id = os.getenv("RDZV_ID")
nnodes = os.getenv("NNODES", "1")
min_nnodes = os.getenv("MIN_NNODES")
max_nnodes = os.getenv("MAX_NNODES")
node_rank = os.getenv("NODE_RANK", "0")
nproc_per_node = os.getenv("NPROC_PER_NODE", str(get_device_count()))
master_addr = os.getenv("MASTER_ADDR", "127.0.0.1")
master_port = os.getenv("MASTER_PORT", str(find_available_port()))
logger.info_rank0(f"Initializing {nproc_per_node} distributed tasks at: {master_addr}:{master_port}")
if int(nnodes) > 1:
print(f"Multi-node training enabled: num nodes: {nnodes}, node rank: {node_rank}")
logger.info_rank0(f"Multi-node training enabled: num nodes: {nnodes}, node rank: {node_rank}")
# elastic launch support
max_restarts = os.getenv("MAX_RESTARTS", "0")
rdzv_id = os.getenv("RDZV_ID")
min_nnodes = os.getenv("MIN_NNODES")
max_nnodes = os.getenv("MAX_NNODES")
env = deepcopy(os.environ)
if is_env_enabled("OPTIM_TORCH", "1"):
@ -104,24 +104,27 @@ def main():
# elastic number of nodes if MIN_NNODES and MAX_NNODES are set
if min_nnodes is not None and max_nnodes is not None:
rdzv_nnodes = f"{min_nnodes}:{max_nnodes}"
cmd = [
"torchrun",
"--nnodes",
rdzv_nnodes,
"--nproc-per-node",
nproc_per_node,
"--rdzv-id",
rdzv_id,
"--rdzv-backend",
"c10d",
"--rdzv-endpoint",
f"{master_addr}:{master_port}",
"--max-restarts",
max_restarts,
launcher.__file__,
*sys.argv[1:],
]
process = subprocess.run(cmd, env=env, check=True)
process = subprocess.run(
(
"torchrun --nnodes {rdzv_nnodes} --nproc-per-node {nproc_per_node} "
"--rdzv-id {rdzv_id} --rdzv-backend c10d --rdzv-endpoint {master_addr}:{master_port} "
"--max-restarts {max_restarts} {file_name} {args}"
)
.format(
rdzv_nnodes=rdzv_nnodes,
nproc_per_node=nproc_per_node,
rdzv_id=rdzv_id,
master_addr=master_addr,
master_port=master_port,
max_restarts=max_restarts,
file_name=launcher.__file__,
args=" ".join(sys.argv[1:]),
)
.split(),
env=env,
check=True,
)
else:
# NOTE: DO NOT USE shell=True to avoid security risk
process = subprocess.run(
@ -142,6 +145,7 @@ def main():
env=env,
check=True,
)
sys.exit(process.returncode)
elif command in COMMAND_MAP:
COMMAND_MAP[command]()