Adding docker build for DeepSpeed

.gitignore

@@ -170,4 +170,7 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 
-.idea/*
+.idea/*
+
+# Deepspeed build
+deepspeed/build

Dockerfile

@@ -4,12 +4,22 @@ FROM continuumio/miniconda3:24.7.1-0
 ARG TTS_MODEL="xtts"
 ENV TTS_MODEL=$TTS_MODEL
 
+ARG CUDA_VERSION="12.1.1"
+ENV CUDA_VERSION=$CUDA_VERSION
+
+ARG PYTHON_VERSION=3.11.9
+ENV PYTHON_VERSION=$PYTHON_VERSION
+
+ARG PYTORCH_VERSION=2.2.1
+ENV PYTORCH_VERSION=$PYTORCH_VERSION
+
 SHELL ["/bin/bash", "-l", "-c"]
 ENV SHELL=/bin/bash
 ENV HOST=0.0.0.0
 ENV DEBIAN_FRONTEND=noninteractive
 ENV CUDA_DOCKER_ARCH=all
 ENV GRADIO_SERVER_NAME="0.0.0.0"
+ENV NVIDIA_VISIBLE_DEVICES=all
 
 RUN <<EOR
     apt-get update
@@ -30,23 +40,30 @@ WORKDIR /alltalk
 ARG INSTALL_ENV_DIR=/alltalk/alltalk_environment/env
 ENV CONDA_AUTO_UPDATE_CONDA="false"
 RUN <<EOR
-    conda create -y -n "alltalk" -c conda-forge python=3.11.9
+    CUDA_SHORT_VERSION=${CUDA_VERSION%.*}
+
+    conda create -y -n "alltalk" -c conda-forge python=${PYTHON_VERSION}
     conda activate alltalk
-    conda install -y \
+    RESULT=$( { conda install -y \
       gcc_linux-64 \
       gxx_linux-64 \
-      pytorch=2.2.1 \
+      pytorch=${PYTORCH_VERSION} \
+      pytorch-cuda=${CUDA_SHORT_VERSION} \
       torchvision \
       torchaudio \
-      pytorch-cuda=12.1 \
       libaio \
-      nvidia/label/cuda-12.1.0::cuda-toolkit=12.1 \
+      nvidia/label/cuda-${CUDA_SHORT_VERSION}.0::cuda-toolkit \
       faiss-gpu=1.9.0 \
       conda-forge::ffmpeg=7.1.0 \
       conda-forge::portaudio=19.7.0 \
       -c pytorch \
       -c anaconda \
-      -c nvidia | grep -zq PackagesNotFoundError && exit 1
+      -c nvidia ; } 2>&1 )
+
+    if echo $RESULT | grep -izq error ; then
+      echo "Failed to install conda dependencies 2: $RESULT"
+      exit 1
+    fi
     conda clean -a && pip cache purge
 EOR
 
@@ -61,22 +78,34 @@ RUN <<EOR
     mkdir /alltalk/pip_cache
     pip install --no-cache-dir --cache-dir=/alltalk/pip_cache -r system/requirements/requirements_standalone.txt
     pip install --no-cache-dir --cache-dir=/alltalk/pip_cache --upgrade gradio==4.32.2
+    # Parler:
+    pip install --no-cache-dir --cache-dir=/alltalk/pip_cache -r system/requirements/requirements_parler.txt
 
-    # Deepspeed:
-    curl -LO https://github.com/erew123/alltalk_tts/releases/download/DeepSpeed-14.0/deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
-    CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CONDA_PREFIX/lib/" \
-      pip install --no-cache-dir --cache-dir=/alltalk/pip_cache deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
-    rm -f deepspeed-0.14.2+cu121torch2.2-cp311-cp311-manylinux_2_24_x86_64.whl
+    conda clean --all --force-pkgs-dirs -y && pip cache purge
+EOR
 
-    # Parler:
-    pip install --no-cache-dir --no-deps --cache-dir=/alltalk/pip_cache -r system/requirements/requirements_parler.txt
+# Deepspeed:
+RUN mkdir -p /tmp/deepseped
+COPY deepspeed/build/*.whl /tmp/deepspeed/
+RUN <<EOR
+    DEEPSPEED_WHEEL=$(realpath /tmp/deepspeed/*.whl)
+    conda activate alltalk
+
+    RESULT=$( { CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CONDA_PREFIX/lib/" \
+      pip install --no-cache-dir ${DEEPSPEED_WHEEL} ; } 2>&1 )
+
+    if echo $RESULT | grep -izq error ; then
+      echo "Failed to install pip dependencies: $RESULT"
+      exit 1
+    fi
 
+    rm ${DEEPSPEED_WHEEL}
     conda clean --all --force-pkgs-dirs -y && pip cache purge
 EOR
 
-# Deepspeed requires cutlass:
-RUN git clone --depth 1 --branch "v3.5.1" https://github.com/NVIDIA/cutlass /alltalk/cutlass
-ENV CUTLASS_PATH=/alltalk/cutlass
+### Deepspeed requires cutlass:
+###RUN git clone --depth 1 --branch "v3.5.1" https://github.com/NVIDIA/cutlass /alltalk/cutlass
+###ENV CUTLASS_PATH=/alltalk/cutlass
 
 # Writing scripts to start alltalk:
 RUN <<EOR

deepspeed/Dockerfile

@@ -0,0 +1,103 @@
+ARG CUDA_VERSION=12.1.1
+FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04
+
+ARG PYTHON_VERSION=3.11
+ENV PYTHON_VERSION=$PYTHON_VERSION
+
+ARG PYTORCH_VERSION=2.2.1
+ENV PYTORCH_VERSION=$PYTORCH_VERSION
+
+ARG DEEPSPEED_VERSION=0.16.1
+ENV DEEPSPEED_VERSION=$DEEPSPEED_VERSION
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+##############################################################################
+# Directories:
+##############################################################################
+ENV STAGE_DIR=/tmp
+RUN mkdir -p ${STAGE_DIR}
+
+##############################################################################
+# Installation/Basic Utilities
+##############################################################################
+SHELL ["/bin/bash", "-l", "-c"]
+ENV SHELL=/bin/bash
+
+RUN <<EOR
+  apt-get update
+  apt-get install --no-install-recommends -y \
+    software-properties-common \
+    ca-certificates
+
+  add-apt-repository ppa:git-core/ppa -y # for latest git
+  add-apt-repository ppa:deadsnakes/ppa -y # for python
+
+  apt-get update
+  apt-get upgrade -y
+  apt-get install --no-install-recommends -y \
+    build-essential \
+    autotools-dev \
+    pdsh \
+    cmake \
+    g++ \
+    gcc \
+    curl \
+    wget \
+    vim \
+    unzip \
+    llvm-dev \
+    git \
+    python${PYTHON_VERSION}-dev \
+    libcupti-dev \
+    libaio-dev
+EOR
+
+##############################################################################
+# Python & pip
+##############################################################################
+RUN <<EOR
+  # Correct symlinks to use the proper python version:
+  PYTHON_MAJOR_VERSION=${PYTHON_VERSION%%.*}
+  rm -f /usr/bin/python${PYTHON_MAJOR_VERSION}
+  ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python${PYTHON_MAJOR_VERSION}
+  ln -s /usr/bin/python3 /usr/bin/python
+
+  curl -O https://bootstrap.pypa.io/pip/3.7/get-pip.py
+  python get-pip.py
+  rm get-pip.py
+  pip install --upgrade pip
+EOR
+
+# Minimal dependencies needed to build deepspeed:
+RUN pip install \
+    deepspeed-kernels \
+    scikit-learn \
+    torch==${PYTORCH_VERSION}
+
+##############################################################################
+# DeepSpeed
+##############################################################################
+RUN <<EOR
+  git clone https://github.com/microsoft/DeepSpeed.git ${STAGE_DIR}/DeepSpeed
+  cd ${STAGE_DIR}/DeepSpeed
+  git checkout .
+  git checkout "tags/v${DEEPSPEED_VERSION}" -b "v${DEEPSPEED_VERSION}"
+EOR
+
+##############################################################################
+# DeepSpeed build file
+##############################################################################
+RUN <<EOR
+  cat << EOF > build_deepspeed.sh
+#!/usr/bin/env bash
+mkdir -p /deepspeed
+cd ${STAGE_DIR}/DeepSpeed
+DS_BUILD_OPS=1 python setup.py build_ext -j8 bdist_wheel
+mv ${STAGE_DIR}/DeepSpeed/dist/*.whl /deepspeed/
+EOF
+EOR
+
+RUN chmod +x /build_deepspeed.sh
+
+ENTRYPOINT ["/build_deepspeed.sh"]

deepspeed/build-deepspeed.sh

@@ -0,0 +1,65 @@
+#!/usr/bin/env bash
+
+CUDA_VERSION=12.1.1
+PYTHON_VERSION=3.11
+PYTORCH_VERSION=2.2.1
+DEEPSPEED_VERSION=0.16.1
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+cd $SCRIPT_DIR
+
+# Parse arguments
+while [ "$#" -gt 0 ]; do
+  case "$1" in
+    --cuda-version)
+      CUDA_VERSION="$2"
+      shift
+      ;;
+    --python-version)
+      PYTHON_VERSION="$2"
+      shift
+      ;;
+    --pytorch-version)
+      PYTORCH_VERSION="$2"
+      shift
+      ;;
+    --deepspeed-version)
+      DEEPSPEED_VERSION="$2"
+      shift
+      ;;
+    *)
+      # Allow to pass arbitrary arguments to docker as well to be flexible:
+      echo "Unknown argument '$1'"
+      exit 1
+      ;;
+  esac
+  shift
+done
+
+PYTHON_VERSION_NO_DOT=${PYTHON_VERSION//./}
+if [[ -n $(find build -name "deepspeed-${DEEPSPEED_VERSION}*-cp${PYTHON_VERSION_NO_DOT}-cp${PYTHON_VERSION_NO_DOT}-*.whl") ]]
+then
+   echo "DeepSpeed was already built - skipping..."
+   exit 0
+fi
+
+echo "Building DeepSpeed $DEEPSPEED_VERSION for CUDA $CUDA_VERSION using python ${PYTHON_VERSION} with PyTorch ${PYTORCH_VERSION}"
+
+rm -rf build # make sure to properly clean up - we only want 1 wheel at the time
+mkdir -p build
+docker buildx \
+  build \
+  --build-arg CUDA_VERSION=$CUDA_VERSION \
+  --build-arg PYTHON_VERSION=$PYTHON_VERSION \
+  --build-arg PYTORCH_VERSION=$PYTORCH_VERSION \
+  --build-arg DEEPSPEED_VERSION=$DEEPSPEED_VERSION \
+  -t deepspeed:cu-$CUDA_VERSION-ds-$DEEPSPEED_VERSION \
+  .
+
+docker run \
+  --rm \
+  -it \
+  --gpus=all \
+  --name deepspeed \
+  -v $SCRIPT_DIR/build:/deepspeed \
+  deepspeed:cu-$CUDA_VERSION-ds-$DEEPSPEED_VERSION

docker-build.sh

@@ -1,11 +1,26 @@
 #!/usr/bin/env bash
 
 TTS_MODEL=xtts
+CUDA_VERSION=12.1.1
+PYTHON_VERSION=3.11.9
+PYTORCH_VERSION=2.2.1
 DOCKER_TAG=latest
 
 # Parse arguments
 while [ "$#" -gt 0 ]; do
   case "$1" in
+    --cuda-version)
+      CUDA_VERSION="$2"
+      shift
+      ;;
+    --python-version)
+      PYTHON_VERSION="$2"
+      shift
+      ;;
+    --pytorch-version)
+      PYTORCH_VERSION="$2"
+      shift
+      ;;
     --tts_model)
       TTS_MODEL="$2"
       shift
@@ -22,11 +37,28 @@ while [ "$#" -gt 0 ]; do
   shift
 done
 
+echo "$PYTHON_VERSION -> ${PYTHON_VERSION%.*}"
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+cd $SCRIPT_DIR
+
+PYTHON_MAJOR_MINOR=${PYTHON_VERSION%.*}
+$SCRIPT_DIR/deepspeed/build-deepspeed.sh \
+  --cuda-version ${CUDA_VERSION} \
+  --python-version ${PYTHON_MAJOR_MINOR} \
+  --pytorch-version ${PYTORCH_VERSION}
+
 echo "Starting docker build process using TTS model '${TTS_MODEL}' and docker tag '${DOCKER_TAG}'"
+echo "Building for CUDA $CUDA_VERSION using python ${PYTHON_VERSION} with PyTorch ${PYTORCH_VERSION}"
+
 
 docker buildx \
   build \
+  --progress=plain \
   --build-arg TTS_MODEL=$TTS_MODEL \
+  --build-arg CUDA_VERSION=$CUDA_VERSION \
+  --build-arg PYTHON_VERSION=$PYTHON_VERSION \
+  --build-arg PYTORCH_VERSION=$PYTORCH_VERSION \
   -t alltalk_beta:${DOCKER_TAG} \
   .