progress

pytorch/.env

@@ -1,5 +1,5 @@
 ROOT_DIR=/opt/jupyter_gpu/pytorch
 DATA_DIR=/opt/jupyter_gpu/data
 JUPYTER_PORT=8888
-PUID=1000
-PGID=1000
+# PUID=1000
+# PGID=1000

pytorch/Dockerfile

@@ -18,6 +18,7 @@ RUN apt-get install graphviz -y
 
 # Set environment variables, etc.
 #ENV MY_ENV_VAR=myvalue
+COPY cvttpy /cvttpy
 
 # Set the working directory
 WORKDIR /workspace

pytorch/docker-compose.yml

@@ -10,23 +10,19 @@ version: '3.8'
 #==================================================
 services:
   jupyter:
-    user: "${UID}:${GID}"
-    build: ${ROOT_DIR}
-    image: cvtt/jupyter_gpu_pt:v1.1.5
+    # user: "${UID}:${GID}"
+    image: cloud21.cvtt.vpn:5500/jupyter_gpu_pytorch:latest
     container_name: jupyter_gpu_pt
     runtime: nvidia
     restart: unless-stopped
     environment:
       - JUPYTER_ENABLE_LAB=yes
       - PYTHONPATH=/cvtt/prod
-#    security_opt:
-#      - no-new-privileges:true
     volumes:
       - ${ROOT_DIR}/notebooks:/workspace
       - ${ROOT_DIR}/jupyter_settings/user-settings:/root/.jupyter/lab/user-settings
       - ${ROOT_DIR}/jupyter_settings/workspaces:/root/.jupyter/lab/workspaces
       - ${ROOT_DIR}/.cache/torch:/root/.cache/torch
-      - ${ROOT_DIR}/cvtt:/cvtt
 
       - ${DATA_DIR}:/workspace/data
     ports:

pytorch/notebooks/Testing GPU.ipynb

@@ -246,7 +246,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,