update

2024-06-22 07:33:12 +00:00
parent 6a8b0fe992
commit 4a779d06ff
2 changed files with 46 additions and 36 deletions
--- a/finetune/Dockerfile
+++ b/finetune/Dockerfile
@@ -17,7 +17,7 @@ SHELL ["/bin/bash", "-c"]
 RUN <<EOT
 #!/bin/bash
 apt-get update
-apt-get install -y wget curl htop jq vim bash libaio-dev build-essential openssh-server python3 python3-pip
+apt-get install -y wget curl htop jq vim bash libaio-dev build-essential openssh-server python3 python3-pip bzip2
 apt-get install -y --no-install-recommends software-properties-common build-essential autotools-dev nfs-common pdsh cmake g++ gcc curl wget vim tmux emacs less unzip htop iftop iotop ca-certificates openssh-client openssh-server rsync iputils-ping net-tools sudo llvm-dev re2c
 add-apt-repository ppa:git-core/ppa -y
 apt-get install -y git libnuma-dev wget
@@ -58,8 +58,8 @@ echo 1 | bash <(curl -s https://cdn.jsdelivr.net/gh/hotwa/MicroMamba_Installer@m
 micromamba shell init -s bash -p ~/micromamba
 cat <<'EOF' >> ~/.bashrc
 source ~/micromamba/etc/profile.d/micromamba.sh
-alias mamba=micromamba
-alias mba=mamba
+echo "alias mamba=micromamba" >> ~/.bashrc
+echo "alias mba=mamba" >> ~/.bashrc
 EOF
 # 配置 .mambarc 文件
 cat <<EOF > ~/.mambarc
@@ -80,7 +80,8 @@ ARG CONDA_ENV_NAME="deepspeed"
 ENV CONDA_ENV_NAME=${CONDA_ENV_NAME}
 ARG PYTHON_VERSION=3.10
 ENV PYTHON_VERSION=${PYTHON_VERSION}
-ENV PATH /opt/conda/bin:/opt/conda/envs/${CONDA_ENV_NAME}/bin:/usr/bin:$PATH
+ENV PATH=/opt/conda/envs/${CONDA_ENV_NAME}/bin:/usr/bin:/opt/conda/bin:$PATH
+ENV DEEPSPEED_PYTHON="/opt/conda/envs/${CONDA_ENV_NAME}/bin/python3"
 ENV REF='main'
 ENV STAGE_DIR=/tmp
 ENV NV_PEER_MEM_VERSION=1.2
@@ -113,6 +114,7 @@ RUN <<EOT
 source /opt/conda/etc/profile.d/conda.sh
 conda create -n ${CONDA_ENV_NAME} python=${PYTHON_VERSION} -c conda-forge -y
 echo "conda activate ${CONDA_ENV_NAME}" >> ~/.bashrc
+which python > ~/python_path.txt
 conda activate ${CONDA_ENV_NAME}
 # 克隆 ninja 源码并编译
 git clone https://github.com/ninja-build/ninja.git ${STAGE_DIR}/ninja
@@ -297,7 +299,7 @@ EOT
 # 80：适用于 NVIDIA Ampere 架构（如 A100）。
 # 90a：适用于 NVIDIA Hopper 架构（如 H100）。
 # 89:GeForce RTX 4090 
-ARG DCUTLASS_NVCC_ARCHS="89"
+ARG DCUTLASS_NVCC_ARCHS="80;89;90a"
 ENV DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS}
 RUN <<EOT
 #!/bin/bash
@@ -316,28 +318,12 @@ cd ..
 # make test_unit_gemm_warp -j"$(nproc)"
 EOT

-# CUDA_ARCH_LIST="80;86;89;90"
-ARG DEEPSPEED_VERSION="0.14.3"
-ENV DEEPSPEED_VERSION=${DEEPSPEED_VERSION}
-ARG DEEPSPEED_INSTALL_FLAGS="--allow_sudo --pip_sudo --no_clean"
-ENV DEEPSPEED_INSTALL_FLAGS=${DEEPSPEED_INSTALL_FLAGS}
-ARG CUDA_ARCH_LIST="80;86;89;90"
-ENV CUDA_ARCH_LIST=${CUDA_ARCH_LIST}
-ARG DS_BUILD_SPARSE_ATTN=0
-ENV DS_BUILD_SPARSE_ATTN=${DS_BUILD_SPARSE_ATTN}
-ARG DS_BUILD_FUSED_ADAM=1
-ENV DS_BUILD_FUSED_ADAM=${DS_BUILD_FUSED_ADAM}
-ARG DS_BUILD_CPU_ADAM=1
-ENV DS_BUILD_CPU_ADAM=${DS_BUILD_CPU_ADAM}
-ARG DS_BUILD_OPS=1
-ENV DS_BUILD_OPS=${DS_BUILD_OPS}
-ENV CUTLASS_PATH=/opt/cutlass
-# install deepspeed
+# install deepspeed step 1
 RUN <<EOT
 #!/bin/bash
 source /opt/conda/etc/profile.d/conda.sh
 conda activate ${CONDA_ENV_NAME}
-python -m pip install setuptools==${SETUPTOOLS_VERSION}
+/opt/conda/envs/${CONDA_ENV_NAME}/bin/python -m pip install setuptools==${SETUPTOOLS_VERSION}
 # install oneapi for deepspeed
 git clone https://github.com/oneapi-src/oneCCL.git ${STAGE_DIR}/oneCCL
 cd ${STAGE_DIR}/oneCCL
@@ -349,30 +335,56 @@ cmake .. -DCMAKE_INSTALL_PREFIX=/usr/local
 make -j"$(nproc)" install
 EOT

+# install deepspeed step 2
+ARG CUDA_ARCH_LIST="80;86;89;90"
+ENV CUDA_ARCH_LIST=${CUDA_ARCH_LIST}
 RUN <<EOT
 #!/bin/bash
 source /opt/conda/etc/profile.d/conda.sh
 conda activate ${CONDA_ENV_NAME}
 git clone https://github.com/microsoft/DeepSpeed-Kernels.git ${STAGE_DIR}/DeepSpeed-Kernels
 cd ${STAGE_DIR}/DeepSpeed-Kernels
-CUDA_ARCH_LIST=${CUDA_ARCH_LIST} python setup.py bdist_wheel
-pip install dist/deepspeed_kernels-*.whl
-# CUDA_ARCH_LIST=${CUDA_ARCH_LIST} pip install -v .
+# CUDA_ARCH_LIST=${CUDA_ARCH_LIST} python setup.py bdist_wheel
+# pip install dist/deepspeed_kernels-*.whl
+CUDA_ARCH_LIST=${CUDA_ARCH_LIST} python -m pip install -v .
 EOT

+ARG DEEPSPEED_VERSION="0.14.3"
+ENV DEEPSPEED_VERSION=${DEEPSPEED_VERSION}
+ARG DEEPSPEED_INSTALL_FLAGS="--allow_sudo --pip_sudo --no_clean"
+ENV DEEPSPEED_INSTALL_FLAGS=${DEEPSPEED_INSTALL_FLAGS}
+ARG DS_BUILD_SPARSE_ATTN=0
+ENV DS_BUILD_SPARSE_ATTN=${DS_BUILD_SPARSE_ATTN}
+ARG DS_BUILD_FUSED_ADAM=1
+ENV DS_BUILD_FUSED_ADAM=${DS_BUILD_FUSED_ADAM}
+ARG DS_BUILD_CPU_ADAM=1
+ENV DS_BUILD_CPU_ADAM=${DS_BUILD_CPU_ADAM}
+ARG DS_BUILD_OPS=1
+ENV DS_BUILD_OPS=${DS_BUILD_OPS}
+ARG HOSTFILE_CONTENT=""
+ENV HOSTFILE_CONTENT=${HOSTFILE_CONTENT}
+ENV CUTLASS_PATH=/opt/cutlass
+
+# install deepspeed step 3
 RUN <<EOT
 #!/bin/bash
 source /opt/conda/etc/profile.d/conda.sh
 conda activate ${CONDA_ENV_NAME}
 git clone https://github.com/microsoft/DeepSpeed.git ${STAGE_DIR}/DeepSpeed
-cd ${STAGE_DIR}/DeepSpeed 
+cd ${STAGE_DIR}/DeepSpeed
 git checkout . 
-# git checkout v${DEEPSPEED_VERSION}
-python setup.py bdist_wheel
-DS_BUILD_OPS=${DS_BUILD_OPS} pip install dist/deepspeed*.whl --force-reinstall
-# DS_BUILD_OPS=${DS_BUILD_OPS} pip install -r requirements/requirements.txt
-./install.sh ${DEEPSPEED_INSTALL_FLAGS} 
-# ./install.sh ${DEEPSPEED_INSTALL_FLAGS} --hostfile /job/hostfile # ./install.sh --allow_sudo --pip_sudo --no_clean --hostfile /path/to/your/hostfile
+git checkout ${DEEPSPEED_VERSION}
+# 修改 install.sh 脚本中的 python 解释器路径
+# sed "s|\bpython\b|/opt/conda/envs/${CONDA_ENV_NAME}/bin/python|g" install.sh > install_modified.sh
+# chmod +x ./install_modified.sh
+# 检查 HOSTFILE_CONTENT 并写入文件
+if [ -n "${HOSTFILE_CONTENT}" ]; then
+    echo "${HOSTFILE_CONTENT}" > /tmp/hostfile
+    INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS} --hostfile /tmp/hostfile"
+else
+    INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS}"
+fi
+eval $INSTALL_CMD
 EOT

 # install transformers and flash-attn
@@ -410,6 +422,4 @@ EOT
 # code-server --install-extension ms-python.vscode-pylance
 # EOT

-# 启动 ssh 服务
-# CMD ["/bin/bash", "-c", "service ssh start; tail -f /dev/null"]
 CMD ["/usr/sbin/sshd", "-D"]
--- a/finetune/docker-compose_pytorch2.3.yml
+++ b/finetune/docker-compose_pytorch2.3.yml
@@ -34,7 +34,7 @@ services:
        CUDA: cu121
        CUDA_ARCH_LIST: "80;86;89;90" # for RTX 4090, all : "80;86;89;90"
        SETUPTOOLS_VERSION: "69.5.1"
-        DCUTLASS_NVCC_ARCHS: "90a" # 90a for H100 GPU 89:GeForce RTX 4090 
+        DCUTLASS_NVCC_ARCHS: "80;86;89;90;90a" # 90a for H100 GPU 89:GeForce RTX 4090 
    volumes:
      - ./src:/bbtft
    container_name: ubuntu-finetune