update

finetune/Dockerfile

@@ -138,7 +138,7 @@ python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing]
 # # (https://www.deepspeed.ai/tutorials/advanced-install/#pre-install-deepspeed-ops)
 python3 -m pip uninstall -y torch torchvision torchaudio 
 # # install pytorch create conda env aleay exists
-python3 -m pip install torch==${PYTORCH_VERSION}+${CUDA} torchvision==${TORCHVISION_VERSION}+${CUDA} torchaudio==${TORCHAUDIO_VERSION} --extra-index-url https://download.pytorch.org/whl/${CUDA}
+python3 -m pip install torch==${PYTORCH_VERSION}+${CUDA} torchvision==${TORCHVISION_VERSION}+${CUDA} torchaudio==${TORCHAUDIO_VERSION} xformers --extra-index-url https://download.pytorch.org/whl/${CUDA}
 python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
 python3 -m pip uninstall -y transformer-engine
 python3 -m pip uninstall -y torch-tensorrt
@@ -350,7 +350,7 @@ cd ${STAGE_DIR}/DeepSpeed-Kernels
 CUDA_ARCH_LIST=${CUDA_ARCH_LIST} python -m pip install -v .
 EOT
 
-ARG DEEPSPEED_VERSION="0.14.3"
+ARG DEEPSPEED_VERSION="v0.14.3"
 ENV DEEPSPEED_VERSION=${DEEPSPEED_VERSION}
 ARG DEEPSPEED_INSTALL_FLAGS="--allow_sudo --pip_sudo --verbose"
 ENV DEEPSPEED_INSTALL_FLAGS=${DEEPSPEED_INSTALL_FLAGS}
@@ -373,51 +373,53 @@ 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
-git checkout . 
+git checkout ${DEEPSPEED_VERSION}
-git checkout v${DEEPSPEED_VERSION}
+sed 's/pip install/python -m pip install/' install.sh > install_modified.sh
-# python setup.py bdist_wheel
+chmod +x ./install_modified.sh
-# 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.sh ${DEEPSPEED_INSTALL_FLAGS} --hostfile /tmp/hostfile"
+    INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS} --hostfile /tmp/hostfile"
 else
-    INSTALL_CMD="./install.sh ${DEEPSPEED_INSTALL_FLAGS}"
+    INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS}"
 fi
-# eval $INSTALL_CMD
+eval $INSTALL_CMD
+# clean up
+# rm -f deepspeed/git_version_info_installed.py
+# rm -rf dist build deepspeed.egg-info
+# python setup.py bdist_wheel
 # DS_BUILD_OPS=${DS_BUILD_OPS} pip install -v dist/deepspeed*.whl
 # DS_BUILD_OPS=${DS_BUILD_OPS} pip install -v -r requirements/requirements.txt
 # pip install numpy==1.22.4 # ImportError: cannot import name 'BUFSIZE' from 'numpy' (/opt/conda/envs/deepspeed/lib/python3.10/site-packages/numpy/__init__.py) wait for fix in numpy=2.0.0
 EOT
 
 # install transformers and flash-attn
-# RUN <<EOT
+RUN <<EOT
-# #!/bin/bash
+#!/bin/bash
-# source /opt/conda/etc/profile.d/conda.sh
+source /opt/conda/etc/profile.d/conda.sh
-# conda activate ${CONDA_ENV_NAME}
+conda activate ${CONDA_ENV_NAME}
-# # install transformers
+# install transformers
-# git clone https://github.com/huggingface/transformers ${STAGE_DIR}/transformers
+git clone https://github.com/huggingface/transformers ${STAGE_DIR}/transformers
-# cd ${STAGE_DIR}/transformers
+cd ${STAGE_DIR}/transformers
-# python3 ./setup.py develop
+python3 ./setup.py develop
-# python3 -m pip install -U --no-cache-dir "pydantic<2"
+python3 -m pip install -U --no-cache-dir "pydantic<2"
-# # install flash-attn
+# install flash-attn
-# # pip install packaging -i https://pypi.org/simple/ --trusted-host pypi.org
+# pip install packaging -i https://pypi.org/simple/ --trusted-host pypi.org
-# pip install flash-attn --no-build-isolation -i https://pypi.org/simple/ --trusted-host pypi.org
+pip install flash-attn --no-build-isolation -i https://pypi.org/simple/ --trusted-host pypi.org
-# EOT
+EOT
 
 # other packages
-# RUN <<EOT
+ENV TORCH_CUDA_ARCH_LIST="80;86;89;90"
-# #!/bin/bash
+RUN <<EOT
-# source /opt/conda/etc/profile.d/conda.sh
+#!/bin/bash
-# conda activate ${CONDA_ENV_NAME}
+source /opt/conda/etc/profile.d/conda.sh
-# pip install optimum
+conda activate ${CONDA_ENV_NAME}
-# pip install peft tiktoken \
+pip3 install optimum
-#     tqdm matplotlib seaborn numpy pandas scikit-learn diffusers \
+pip3 install peft tiktoken \
-#     huggingface_hub spacy blobfile pycocotools \
+    tqdm matplotlib seaborn numpy pandas scikit-learn diffusers \
-#     xformers open_clip_torch \
+    huggingface_hub spacy blobfile pycocotools \
-#     zstandard -i https://pypi.org/simple/ --trusted-host pypi.org
+    open_clip_torch \
-# EOT
+    zstandard -i https://pypi.org/simple/ --trusted-host pypi.org
+EOT
 
 CMD ["/usr/sbin/sshd", "-D"]

finetune/docker-compose_pytorch2.3.yml

@@ -21,13 +21,13 @@ services:
       args: # PyTorch版本、Python版本与pytorch_lightning版本的对应关系表 https://blog.csdn.net/qq_41813454/article/details/137421822
         PYTHON_VERSION: "3.10"
         CUDA_VERSION: "12.1.0"
-        PYTORCH_VERSION: "2.3.1"
+        PYTORCH_VERSION: "2.3.0"
-        TORCHVISION_VERSION: "0.18.1"
+        TORCHVISION_VERSION: "0.18.0"
-        TORCHAUDIO_VERSION: "2.3.1"
+        TORCHAUDIO_VERSION: "2.3.0"
         DS_BUILD_OPS: 1
-        DS_BUILD_SPARSE_ATTN: 0
+        # DS_BUILD_SPARSE_ATTN: 0
-        DS_BUILD_FUSED_ADAM: 1
+        # DS_BUILD_FUSED_ADAM: 1
-        DS_BUILD_CPU_ADAM: 1
+        # DS_BUILD_CPU_ADAM: 1
         USE_CUDA: 1
         USE_ROCM: 0
         USE_XPU: 0
@@ -35,8 +35,8 @@ services:
         CUDA_ARCH_LIST: "80;86;89;90" # for RTX 4090, all : "80;86;89;90"
         SETUPTOOLS_VERSION: "69.5.1"
         DCUTLASS_NVCC_ARCHS: "80;86;89;90;90a" # 90a for H100 GPU 89:GeForce RTX 4090 
-        DEEPSPEED_VERSION: "0.14.3"
+        DEEPSPEED_VERSION: "master"
-        DEEPSPEED_INSTALL_FLAGS: "--allow_sudo --pip_sudo --verbose"
+        DEEPSPEED_INSTALL_FLAGS: "--allow_sudo"
     volumes:
       - ./src:/bbtft
     container_name: ubuntu-finetune