docker/Dockerfile.ngc.vllm0.8.sagemaker

# Using a pre-built image from AWS DLC which contains the current version of python (3.10) and supported cuda version (12.1)
FROM 763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:2.1.0-transformers4.36.0-gpu-py310-cu121-ubuntu20.04

# uninstall nv-pytorch fork
RUN pip3 uninstall -y pytorch-quantization \
    pytorch-triton torch torch-tensorrt torchvision \
    xgboost transformer_engine flash_attn apex megatron-core

# Define environments
ENV MAX_JOBS=32
ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
ENV DEBIAN_FRONTEND=noninteractive
ENV NODE_OPTIONS=""
ENV HF_HUB_ENABLE_HF_TRANSFER="1"

# Install systemctl
RUN apt-get update && \
    apt-get install -y -o Dpkg::Options::="--force-confdef" systemd && \
    apt-get clean

# Install tini
RUN apt-get update && \
    apt-get install -y tini && \
    apt-get clean

# Install torch-2.6.0 + vllm-0.8.2
RUN pip install --no-cache-dir vllm==0.8.2 torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 tensordict torchdata==0.11.0 \
    transformers>=4.49.0 accelerate datasets peft hf-transfer \
    ray[default] codetiming hydra-core pandas pyarrow>=15.0.0 pylatexenc qwen-vl-utils wandb dill pybind11 liger-kernel mathruler \
    pytest pre-commit py-spy pyext ruff tensorboard

# Install flash_attn-2.7.4.post1
RUN pip uninstall -y transformer-engine flash-attn && \
    pip install flash-attn==2.7.4.post1 --no-build-isolation

# Fix cv2
RUN pip uninstall -y pynvml nvidia-ml-py && \
    pip install --no-cache-dir nvidia-ml-py>=12.560.30 opencv-python-headless==4.8.0.74 fastapi==0.115.6 && \
    pip install --no-cache-dir --upgrade optree>=0.13.0

# Install verl
RUN pip install --no-cache-dir verl[vllm] -U

# Reset pip config
RUN pip config unset global.index-url && \
    pip config unset global.extra-index-url