Dev: host gpu にアクセスOK

Dockerfile

@@ -1,3 +1,26 @@
-FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
+#FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
+FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
+#FROM nvidia/cuda:12.5.0-devel-ubuntu22.04
+
+RUN apt update -y
+RUN apt install -y wget
+
+RUN apt install -y build-essential
+RUN apt install -y python3 python3-pip python-is-python3
+
+#RUN mkdir -p /miniconda3
+RUN mkdir -p /anaconda3
+# RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /miniconda3/miniconda.sh
+RUN wget https://repo.anaconda.com/archive/Anaconda3-2024.02-1-Linux-x86_64.sh -O /anaconda3/anaconda.sh
+# RUN bash /miniconda3/miniconda.sh -b -u -p /miniconda3
+RUN bash /anaconda3/anaconda.sh -b -u -p /anaconda3
+# RUN rm -f /miniconda3/miniconda.sh
+
+# RUN /miniconda3/bin/conda init bash
+RUN /anaconda3/bin/conda init bash
+
+COPY environment.yml /root/environment.yml
+#RUN /miniconda3/bin/conda env create -f /root/environment.yml
+#RUN /anaconda3/bin/conda env create -f /root/environment.yml
 
 CMD ["/bin/bash"]

compose.yaml

@@ -6,14 +6,22 @@ services:
       dockerfile: Dockerfile
     container_name: gsplat-dev-container
     image: gsplat:1.0
-    user: 1010:1010
+    # user: 1010:1010 #terada
     volumes:
-      - /etc/passwd:/etc/passwd:ro
-      - /etc/group:/etc/group:ro
-      - .:/home/terada/gaussian-splatting
+      # - /etc/passwd:/etc/passwd:ro
+      # - /etc/group:/etc/group:ro
+      - .:/root/gaussian-splatting
       - ~/.ssh:/root/.ssh
       # ports:
       #   - "8087:8088"
-    working_dir: /home/terada/gaussian-splatting
+    working_dir: /root/gaussian-splatting
     tty: true
     network_mode: "host"
+    # host gpu を使えるようにする設定　https://docs.docker.jp/compose/gpu-support.html
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]