Dockerfile.ci.lts

# syntax=docker/dockerfile:1.3-labs

ARG FROM_IMAGE_NAME
FROM $FROM_IMAGE_NAME as build_causal_conv1d
WORKDIR /opt
RUN CAUSAL_CONV1D_FORCE_BUILD=TRUE pip3 wheel -v git+https://github.com/Dao-AILab/causal-conv1d.git@v1.2.2.post1

FROM $FROM_IMAGE_NAME as build_grouped_gemm
WORKDIR /opt
RUN pip3 wheel -v git+https://github.com/fanshiqing/grouped_gemm@v1.1.2

FROM $FROM_IMAGE_NAME as build_mamba_ssm
WORKDIR /opt
RUN MAMBA_FORCE_BUILD=TRUE pip3 wheel -v git+https://github.com/state-spaces/mamba.git@v2.0.3

ARG FROM_IMAGE_NAME
FROM $FROM_IMAGE_NAME as main
ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && \
    apt-get install -y --no-install-recommends gettext python3-venv && \
    apt-get clean && \
    python -m venv /opt/jet && \
    wget https://github.com/mikefarah/yq/releases/download/v4.44.1/yq_linux_amd64 -O /usr/local/bin/yq && \
    chmod a+x /usr/local/bin/yq

COPY --from=build_causal_conv1d /opt/causal_conv1d-*.whl ./
COPY --from=build_grouped_gemm /opt/grouped_gemm-*.whl ./
COPY --from=build_mamba_ssm /opt/mamba_ssm-*.whl ./

RUN \
    --mount=type=bind,source=requirements,target=requirements \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    --mount=type=bind,source=setup.py,target=setup.py \
    --mount=type=bind,source=megatron/core/package_info.py,target=megatron/core/package_info.py \
    --mount=type=bind,source=megatron/core/README.md,target=megatron/core/README.md \
    --mount=type=bind,source=megatron/core/requirements.txt,target=megatron/core/requirements.txt \
    --mount=type=bind,source=megatron/core/__init__.py,target=megatron/core/__init__.py <<"EOF" bash -ex

pip install causal_conv1d-*.whl mamba_ssm-*.whl grouped_gemm-*.whl
PY_ENV=pytorch_24.01 pip install .
EOF

# Since megatron does not have any dependencies (and isn't a dependency to any other package), we can install it separately to make everything a bit quicker
ARG MCORE_REPO
ARG MCORE_REF
ARG MCORE_BACKWARDS_REF
RUN <<"EOF" bash -exu
# Checkout latest
cd /opt
rm -rf /opt/megatron-lm; mkdir megatron-lm; cd megatron-lm
git init
git remote add origin ${MCORE_REPO}
git fetch origin '+refs/merge-requests/*:refs/remotes/merge-requests/*'
git fetch origin $MCORE_REF
git checkout $MCORE_REF

# Checkout backwards-ref
cd /opt
rm -rf /opt/megatron-lm-legacy; mkdir megatron-lm-legacy; cd megatron-lm-legacy
git init
git remote add origin ${MCORE_REPO}
git fetch origin $MCORE_BACKWARDS_REF
git checkout $MCORE_BACKWARDS_REF
rm -rf megatron; cp -a /opt/megatron-lm/megatron ./
EOF

RUN PY_ENV=pytorch_24.01 pip install -e /opt/megatron-lm
ENV PYTHONPATH="/opt/megatron-lm:$PYTHONPATH"

##### For NVIDIANS only #####
FROM main as jet
ARG CACHEBUST=0
RUN --mount=type=secret,id=JET_INDEX_URLS \
    --mount=type=secret,id=LOGGER_INDEX_URL \
    LOGGER_INDEX_URL=$(cat /run/secrets/LOGGER_INDEX_URL) && \
    JET_INDEX_URLS=$(cat /run/secrets/JET_INDEX_URLS) && \
    pip install "jet-client~=2.0" jet-api --upgrade $JET_INDEX_URLS  && \
    pip install "one-logger" --upgrade $LOGGER_INDEX_URL
ENV PATH="$PATH:/opt/jet/bin"
###