progress

pytorch/Dockerfile

@@ -3,14 +3,12 @@
 # -------------------------------------------------------
 FROM pytorch/pytorch:latest
 
-RUN useradd -m -s /bin/bash oleg
 
 # Install packages
-RUN pip install jupyterlab
+RUN pip install jupyterlab ipywidgets
-RUN pip install pandas
+RUN pip install pandas numpy
-RUN pip install numpy
 RUN pip install plotly
-RUN pip install fastbook
+#
 
 # Install additional applications
 RUN apt update

tensorflow/Dockerfile

@@ -8,7 +8,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ca-certificates \
     && rm -rf /var/lib/apt/lists/*
 
-RUN useradd -m -s /bin/bash oleg
+# RUN useradd -m -s /bin/bash oleg
 
 RUN mkdir -p /workspace/tf_cache
 

tensorflow/docker-compose.yml

@@ -8,9 +8,9 @@ version: '3.8'
 
 services:
   jupyter:
-    user: "oleg"
+    # user: "oleg"
     build: ${ROOT_DIR}
-    image: cvtt/jupyter_gpu_tf:v1.0.4
+    image: cvtt/jupyter_gpu_tf:v1.0.5
     container_name: jupyter_gpu_tf
     runtime: nvidia
     environment:

test/.env

@@ -0,0 +1,2 @@
+ROOT_DIR=/opt/jupyter_gpu/test
+JUPYTER_PORT=7777

test/Dockerfile

@@ -0,0 +1,25 @@
+# -------------------------------------------------------
+# Relies on JUPYTER_PORT being set in docker-compose.yml
+# -------------------------------------------------------
+FROM pytorch/pytorch:latest
+
+# RUN useradd -m -s /bin/bash oleg
+
+# Install packages
+RUN pip install jupyterlab ipywidgets
+# RUN pip install pandas
+# RUN pip install numpy
+
+
+# Set environment variables, etc.
+#ENV MY_ENV_VAR=myvalue
+
+# Set the working directory
+WORKDIR /workspace
+
+# Expose the port for JupyterLab
+EXPOSE ${JUPYTER_PORT}
+
+# Command to run JupyterLab
+CMD ["sh", "-c", "jupyter-lab --ip=0.0.0.0 --port=7777 --no-browser --allow-root --NotebookApp.token=''"]
+

test/docker-compose.yml

@@ -0,0 +1,25 @@
+version: '3.8'
+
+#==================================================
+# Relies on the file `.env` content for varables:
+#    ROOT_DIR
+#    JUPYTER_PORT
+#==================================================
+
+services:
+  jupyter:
+    # user: "oleg"
+    build: ${ROOT_DIR}
+    image: cvtt/test:v0.0.0
+    container_name: jupyter_gpu_test
+    runtime: nvidia
+    environment:
+      - JUPYTER_ENABLE_LAB=yes
+    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
+      - ${ROOT_DIR}/.cache/torch:/root/.cache/torch
+    ports:
+      - "${JUPYTER_PORT}:${JUPYTER_PORT}"
+    shm_size: "8gb"

test/notebooks/Untitled.ipynb

@@ -0,0 +1,83 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "275a869c-e8a3-4f6b-9b57-fc2f7168fd35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "89039be9d80d47e28620bcb141326986",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(IntSlider(value=5, description='x', max=10), Output()), _dom_classes=('widget-interact',…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done\n"
+     ]
+    }
+   ],
+   "source": [
+    "import ipywidgets\n",
+    "from ipywidgets import interact, IntSlider\n",
+    "\n",
+    "def f(x):\n",
+    "    return x\n",
+    "\n",
+    "interact(f, x=IntSlider(min=0, max=10, step=1, value=5))\n",
+    "print(\"Done\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "5096e77c-b350-4512-96c3-9cef0534bf35",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip freeze | grep ipwidget"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}