docker update

This commit is contained in:
2023-05-21 09:58:28 +00:00
parent bfda596f8f
commit c1b5e26f26
3 changed files with 68 additions and 0 deletions
+46
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@@ -0,0 +1,46 @@
# Use an existing image as the base
FROM nvcr.io/nvidia/pytorch:23.04-py3
# FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel
# FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
#
# Add the current user to the image
ARG USER_NAME=lhunor
ARG USER_ID=11017
ARG GROUP_NAME=guest
ARG GROUP_ID=11000
# Update the system and install required packages
RUN apt-get update && apt-get upgrade -y && apt-get install -y sudo git apt-utils htop
# Create a new group with the same GID as the host
RUN groupadd --gid $GROUP_ID $GROUP_NAME
# Create a new user with the same UID and GID as the host
RUN useradd --uid $USER_ID --gid $GROUP_ID --shell /bin/bash --create-home $USER_NAME
# don't require password with sudo, for convenience
# not the safest thing to do, but hopefully okay inside the container
RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
# Add the new user to the sudo group
RUN usermod -aG sudo $USER_NAME
# Set the default user to the new user
USER $USER_NAME
WORKDIR /workspace
ENV PATH="$PATH:/home/$USER_NAME/.local/bin"
RUN pip install --upgrade pip
COPY requirements.txt /tmp/
RUN pip install --requirement /tmp/requirements.txt
RUN pip install torch-cluster -f https://data.pyg.org/whl/torch-2.0.0+cu117.html
# defining the volumes that will be mounted
VOLUME [ "/data-net" ]
VOLUME [ "/data-local" ]
VOLUME [ "/home-net" ]
# Start the container with a bash shell
CMD ["/bin/bash"]
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@@ -19,3 +19,24 @@ services:
reservations: reservations:
devices: devices:
- capabilities: [gpu] - capabilities: [gpu]
lhunor_torch_2:
image: lhunor_torch:nv23.04
container_name: lhunor_torch_nv23.04
ipc: host
tty: true
ulimits:
memlock: -1
stack: 67108864
volumes:
- '/home-net/lhunor:/home-net'
- '/data-net/guest/lhunor/data:/data-net'
- '/data-fast/126-data1/lhunor/data:/data-local/126'
- '/data-fast/127-data1/lhunor/data:/data-local/127'
- '/data-fast/128-data1/lhunor/data:/data-local/128'
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
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@@ -1,3 +1,4 @@
torch==2.0.0
numpy numpy
matplotlib matplotlib
opencv-python opencv-python