progress

build.sh

@@ -31,9 +31,9 @@ Cmd="docker build -t ${ImageName} -t ${ImageName}:${Version} -f ${DockerDir}/Doc
 echo ${Cmd}
 eval ${Cmd}
 
-Cmd="docker save -o ${ImageDir}/${ImageName}.img.tar ${ImageName}"
+# Cmd="docker save -o ${ImageDir}/${ImageName}.img.tar ${ImageName}"
-echo ${Cmd}
+# echo ${Cmd}
-eval ${Cmd}
+# eval ${Cmd}
 
 Cmd="docker tag ${ImageName}:latest ${RegistryService}/${ImageName}:latest"
 echo ${Cmd}

research/jupyter_gpu_pytorch/.env

@@ -0,0 +1,5 @@
+ROOT_DIR=/opt/jupyter_gpu/pytorch
+DATA_DIR=/opt/jupyter_gpu/data
+JUPYTER_PORT=8888
+PUID=1000
+PGID=1000

research/jupyter_gpu_pytorch/Dockerfile

@@ -0,0 +1,41 @@
+# -------------------------------------------------------
+# Relies on JUPYTER_PORT being set in docker-compose.yml
+# -------------------------------------------------------
+FROM pytorch/pytorch:latest
+
+
+# Install packages
+RUN pip install jupyterlab ipywidgets
+RUN pip install pandas numpy
+RUN pip install plotly
+RUN pip install seaborn
+RUN pip install statsmodels
+#
+RUN pip install autogluon
+#
+RUN pip install scikit-learn
+RUN pip install Arch
+RUN pip install Quantlib
+RUN pip install Backtrader
+RUN pip install pyfolio
+RUN pip install XGBoost
+
+# Install additional applications
+RUN apt update
+RUN apt-get install graphviz -y
+
+RUN mkdir -p /workspace
+
+# Set environment variables, etc.
+#ENV MY_ENV_VAR=myvalue
+COPY cvttpy /cvttpy
+
+# Set the working directory
+WORKDIR /workspace
+
+# Expose the port for JupyterLab
+EXPOSE ${JUPYTER_PORT}
+
+# Command to run JupyterLab
+CMD ["jupyter-lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''"]
+

research/jupyter_gpu_pytorch/docker-compose.yml

@@ -0,0 +1,31 @@
+version: '3.8'
+
+#==================================================
+# Relies on the file `.env` content for varables:
+#    ROOT_DIR
+#    DATA_DIR
+#    JUPYTER_PORT
+#    UID
+#    GID
+#==================================================
+services:
+  jupyter:
+    # user: "${UID}:${GID}"
+    # build: ${ROOT_DIR}
+    image: cloud21.cvtt.vpn:5500/jupyter_gpu_pt:latest
+    container_name: jupyter_gpu_pt
+    runtime: nvidia
+    restart: unless-stopped
+    environment:
+      - JUPYTER_ENABLE_LAB=yes
+      - PYTHONPATH=/cvtt/prod
+    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
+
+      - ${DATA_DIR}:/workspace/data
+    ports:
+      - "${JUPYTER_PORT}:${JUPYTER_PORT}"
+    shm_size: "8gb"

research/jupyter_gpu_tensorflow/.env

@@ -0,0 +1,3 @@
+ROOT_DIR=/opt/jupyter_gpu/tensorflow
+DATA_DIR=/opt/jupyter_gpu/data
+JUPYTER_PORT=9999

research/jupyter_gpu_tensorflow/Dockerfile

@@ -0,0 +1,42 @@
+# Use the official TensorFlow image with GPU support
+FROM tensorflow/tensorflow:latest-gpu-jupyter
+
+# Install necessary packages
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    curl \
+    ca-certificates \
+    graphviz \
+    && rm -rf /var/lib/apt/lists/*
+
+# RUN useradd -m -s /bin/bash oleg
+
+RUN mkdir -p /workspace/tf_cache
+
+# Install packages
+RUN pip install jupyterlab
+RUN pip install pandas
+RUN pip install numpy
+RUN pip install plotly
+RUN pip install seaborn
+RUN pip install statsmodels
+
+RUN pip install scikit-learn
+RUN pip install Arch
+RUN pip install Quantlib
+RUN pip install Backtrader
+RUN pip install pyfolio
+RUN pip install XGBoost
+
+# Install additional applications
+# RUN apt update
+# RUN apt-get install graphviz -y
+
+# 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=9999 --allow-root --no-browser --NotebookApp.token=''"]

research/jupyter_gpu_tensorflow/docker-compose.yml

@@ -0,0 +1,27 @@
+version: '3.8'
+
+#==================================================
+# Relies on the file `.env` content for varables:
+#    ROOT_DIR
+#    DATA_DIR
+#    JUPYTER_PORT
+#==================================================
+
+services:
+  jupyter:
+    image: cloud21.cvtt.vpn:5500/jupyter_gpu_tensorflow:latest
+    container_name: jupyter_gpu_tf
+    runtime: nvidia
+    restart: unless-stopped
+    environment:
+      - JUPYTER_ENABLE_LAB=yes
+      #- PYTHONPATH=/cvtt/prod
+      - TF_CACHE_DIR=/workspace/tf_cache
+    volumes:
+      - ${ROOT_DIR}/notebooks:/workspace
+      - ${ROOT_DIR}/jupyter_settings/user-settings:/home/oleg/.jupyter/lab/user-settings
+      - ${ROOT_DIR}/jupyter_settings/workspaces:/home/oleg/.jupyter/lab/workspaces
+      # - ${DATA_DIR}:/workspace/data
+    ports:
+      - "${JUPYTER_PORT}:${JUPYTER_PORT}"
+    shm_size: "8gb"