Update Dockerfile and scripts

Dockerfile

@@ -1,4 +1,4 @@
-FROM condaforge/miniforge3:22.9.0-2
+FROM condaforge/mambaforge
 ENV PYTHONUNBUFFERED 1
 
 
@@ -14,7 +14,6 @@ RUN apt-get update \
     && DEBIAN_FRONTEND=noninteractive apt-get install -y \
     build-essential \
     git \
-    git-lfs \
     curl \
     wget \
     unzip \
@@ -26,25 +25,26 @@ RUN apt-get update \
     openssh-server \
     && mkdir /var/run/sshd \
     && rm -rf /var/lib/apt/lists/* \
-    && git lfs install \
     && echo 'PermitRootLogin yes' >> /etc/ssh/sshd_config
 
 
 # ----------------------------- Install dependencies ------------------------------
 COPY environment.yaml /root/conda_environment.yaml
-RUN conda env update -n base -f /root/conda_environment.yaml \
-    && conda clean --all --yes \
-    && conda init
+RUN mamba config --set ssl_verify false \
+    && mamba env update -n base -f /root/conda_environment.yaml \
+    && mamba clean --all --yes \
+    && mamba init
 
 # xargs are used to make possible use pip install flags in requirements.txt 
 # see https://pip.pypa.io/en/stable/cli/pip_install
 COPY requirements.txt /root/requirements.txt
-RUN sed '/^#/d' /root/requirements.txt | xargs -L 1 pip install --no-cache-dir
+RUN pip config --global set http.sslVerify false \
+    && sed '/^#/d' /root/requirements.txt | xargs -L 1 pip install --no-cache-dir
 
 
 # ------------------- Configure Jupyter and Tensorboard individually --------------------
 COPY .jupyter_password set_jupyter_password.py /root/.jupyter/
-RUN pip install jupyterlab ipywidgets tensorboard \
+RUN pip install -U jupyterlab ipywidgets tensorboard \
     && python /root/.jupyter/set_jupyter_password.py /root
 
 RUN echo "#!/bin/sh" > ~/init.sh \

docker_build.sh

@@ -50,7 +50,7 @@ docker build -t $docker_image_name \
     .
 
 
-tmp_container_name=tmp_${docker_image_name}_$RANDOM
+tmp_container_name=tmp_${docker_image_name%%:*}_$RANDOM
 # ----- Install user packages from ./src to the container and submodules from ./libs ----
 docker run -dt -v ${PWD}:/code --name $tmp_container_name --entrypoint="" $docker_image_name bash
 for lib in $(ls ./libs)

docker_start_interactive.sh

@@ -2,7 +2,12 @@
 set -e
 
 # ------------- Read default image name from build output or manual input  --------------
-docker_image_name=$(cat .docker_image_name)
+if [ -e .docker_image_name ]; then
+    docker_image_name=$(cat .docker_image_name)
+else
+    docker_image_name=DOCKER_IMAGE_NAME
+fi
+
 read -r -p "Image [$docker_image_name]: " docker_image_name_input
 docker_image_name=${docker_image_name_input:-$docker_image_name}
 
@@ -12,7 +17,12 @@ read -r -p "Container name [$container_name]: " container_name_input
 container_name=${container_name_input:-$container_name}
 
 # ----------------------------- Prompt for workspace folder -----------------------------
-ws_dump=$(cat .ws_dir)
+if [ -e .ws_dir ]; then
+    ws_dump=$(cat .ws_dir)
+else
+    ws_dump=""
+fi
+
 read -r -p "Absolute path to the project workspace folder with data and experiment artifacts [$ws_dump]: " ws
 ws=${ws:-$ws_dump}
 if [ "$ws" ]
@@ -22,7 +32,12 @@ then
 fi
 
 # ---------------------------- Prompt for tensorboard folder ----------------------------
-tb_dump=$(cat .tb_dir)
+if [ -e .ws_dir ]; then
+    tb_dump=$(cat .tb_dir)
+else
+    tb_dump=""
+fi
+
 tb=${tb_dump:="/ws/experiments"}
 read -r -p "Relative path to the tensorboard logdir [$tb]: " tb
 tb=${tb:-$tb_dump}
@@ -38,15 +53,15 @@ gpus=\"'device=str'\"
 gpus=$(sed "s/str/$gpus_prompt/g" <<< $gpus)
 
 # ---------------------------- Prompt for host Jupyter port -----------------------------
-read -p "Jupyter port [8888]: " jupyter_port
+read -p "Jupyter forwarded port [XXXX] -> container's 8888: " jupyter_port
 jupyter_port=${jupyter_port:-8888}
 
 # -------------------------- Prompt for host TensorBoard port ---------------------------
-read -p "TensorBoard port [6006]: " tb_port
+read -p "TensorBoard forwarded port [XXXX] -> container's 6006: " tb_port
 tb_port=${tb_port:-6006}
 
 # ------------------------------ Prompt for host SSH port -------------------------------
-read -p "SSH port [22]: " ssh_port
+read -p "SSH forwarded port [XXXX] -> container's 22: " ssh_port
 ssh_port=${ssh_port:-22}
 
 # -------------------------------- Start the container ----------------------------------