Make docker images lighter (#2149)

.github/workflows/docker.yaml

@@ -15,8 +15,8 @@ jobs:
       matrix:
         arch: ["amd64"]
         base:
-        # - "nvcr.io/nvidia/pytorch:22.03-py3" # GPU enabled
-        - "ubuntu:20.04" # CPU only
+        - "nvidia/cuda:11.8.0-base-ubuntu22.04" # GPU enabled
+        - "python:3.10.8-slim" # CPU only
     steps:
       - uses: actions/checkout@v2
       - name: Log in to the Container registry
@@ -32,7 +32,7 @@ jobs:
           base="ghcr.io/coqui-ai/tts"
           tags="" # PR build
 
-          if [[ ${{ matrix.base }} = "ubuntu:20.04" ]]; then
+          if [[ ${{ matrix.base }} = "python:3.10.8-slim" ]]; then
             base="ghcr.io/coqui-ai/tts-cpu"
           fi
 

Dockerfile

@@ -1,20 +1,12 @@
-ARG BASE=nvcr.io/nvidia/pytorch:22.03-py3
+ARG BASE=nvidia/cuda:11.8.0-base-ubuntu22.04
 FROM ${BASE}
-RUN apt-get update && apt-get install -y --no-install-recommends gcc g++ make  python3 python3-dev python3-pip python3-venv python3-wheel espeak espeak-ng libsndfile1-dev && rm -rf /var/lib/apt/lists/*
+RUN apt-get update && apt-get upgrade -y
+RUN apt-get install -y --no-install-recommends gcc g++ make python3 python3-dev python3-pip python3-venv python3-wheel espeak-ng libsndfile1-dev && rm -rf /var/lib/apt/lists/*
 RUN pip install llvmlite --ignore-installed
 
-# Create and activate virtual env
-ENV VIRTUAL_ENV=/venv
-RUN python3 -m venv $VIRTUAL_ENV
-ENV PATH="$VIRTUAL_ENV/bin:$PATH"
-RUN pip install -U pip setuptools wheel
-
 WORKDIR /root
-COPY requirements.txt /root
-COPY requirements.dev.txt /root
-COPY requirements.notebooks.txt /root
-RUN ["/bin/bash", "-c", "pip install -r <(cat requirements.txt requirements.dev.txt requirements.notebooks.txt)"]
 COPY . /root
+RUN pip3 install torch torchaudio --extra-index-url https://download.pytorch.org/whl/cu117
 RUN make install
 ENTRYPOINT ["tts"]
 CMD ["--help"]