Add pytorch/training/gpu/2.3.1/transformers/4.48.0/py311/Dockerfile (#134)

* Add latest PyTorch DLC with bumped dependencies

* Fix `Dockerfile` due to extra `&&`

* Lower `flash-attn` dependency version

* Add `uv` to install `pip` dependencies faster

This commit also contains some formatting improvements to better debug
the `Dockerfile` such as indentation when a command is divided in
multiple lines to know that it refers to the unindented command above;
also set bash as the default shell, and fix `gcloud` CLI installation

* Bump `transformers` to 4.48.0 and fix `Dockerfile` formatting

Bump the `transformers` dependency to 4.48.0 to support the ModernBERT
architecture, as well as bumping `diffusers` including new video and
image generation pipelines, as well as a bunch of other features,
improvements and bug fixes. Additionally, the `Dockerfile` formatting
has been fixed.

* Update `containers/pytorch/training/README.md`

* Fix `containers/pytorch/training/README.md`

* Set `transformers` version to 4.47.1 instead

* Remove `--upgrade` flag from `torch` and `transformers` install

* Bump `torch` to 2.3.1 and move `Dockerfile`

* Remove `uv` from `Dockerfile`

* Upgrade `transformers` to 4.48.0

* Remove strict version pinning on `protobuf`

Author: alvarobartt

containers/pytorch/training/README.md

@@ -29,7 +29,7 @@ The PyTorch Training containers will start a training job that will start on `do
   docker run --gpus all -ti \
       -v $(pwd)/artifact:/artifact \
       -e HF_TOKEN=$(cat ~/.cache/huggingface/token) \
-      us-docker.pkg.dev/deeplearning-platform-release/gcr.io/huggingface-pytorch-training-cu121.2-3.transformers.4-42.ubuntu2204.py310 \
+      us-docker.pkg.dev/deeplearning-platform-release/gcr.io/huggingface-pytorch-training-cu121.2-3.transformers.4-47.ubuntu2204.py311 \
       trl sft \
       --model_name_or_path google/gemma-2b \
       --attn_implementation "flash_attention_2" \
@@ -76,7 +76,7 @@ The PyTorch Training containers come with two different containers depending on
 - **GPU**: To build the PyTorch Training container for GPU, an instance with at least one NVIDIA GPU available is required to install `flash-attn` (used to speed up the attention layers during training and inference).
 
   ```bash
-  docker build -t us-docker.pkg.dev/deeplearning-platform-release/gcr.io/huggingface-pytorch-training-cu121.2-3.transformers.4-42.ubuntu2204.py310 -f containers/pytorch/training/gpu/2.3.0/transformers/4.42.3/py310/Dockerfile .
+  docker build -t us-docker.pkg.dev/deeplearning-platform-release/gcr.io/huggingface-pytorch-training-cu121.2-3.transformers.4-47.ubuntu2204.py311 -f containers/pytorch/training/gpu/2.3.0/transformers/4.47.1/py311/Dockerfile .
   ```
 
 - **TPU**: You can build PyTorch Training container for Google Cloud TPUs on any machine with docker build, you do not need to build it on a TPU VM

containers/pytorch/training/gpu/2.3.1/transformers/4.48.0/py311/Dockerfile

@@ -0,0 +1,101 @@
+FROM nvidia/cuda:12.1.1-devel-ubuntu22.04
+SHELL ["/bin/bash", "-c"]
+
+LABEL maintainer="Hugging Face"
+ARG DEBIAN_FRONTEND=noninteractive
+
+# Versions
+ARG CUDA="cu121"
+ARG PYTORCH="2.3.1"
+ARG FLASH_ATTN="2.6.3"
+ARG TRANSFORMERS="4.48.0"
+ARG HUGGINGFACE_HUB="0.27.0"
+ARG DIFFUSERS="0.32.1"
+ARG PEFT="0.14.0"
+ARG TRL="0.13.0"
+ARG BITSANDBYTES="0.45.0"
+ARG DATASETS="3.2.0"
+ARG ACCELERATE="1.2.1"
+ARG EVALUATE="0.4.3"
+ARG SENTENCE_TRANSFORMERS="3.3.1"
+ARG DEEPSPEED="0.16.1"
+ARG MAX_JOBS=4
+
+RUN apt-get update -y && \
+    apt-get install software-properties-common -y && \
+    add-apt-repository ppa:deadsnakes/ppa && \
+    apt-get -y upgrade --only-upgrade systemd openssl cryptsetup && \
+    apt-get install -y \
+        build-essential \
+        bzip2 \
+        curl \
+        git \
+        git-lfs \
+        tar \
+        gcc \
+        g++ \
+        cmake \
+        gnupg \
+        libprotobuf-dev \
+        libaio-dev \
+        protobuf-compiler \
+        python3.11 \
+        python3.11-dev \
+        libsndfile1-dev \
+        ffmpeg && \
+    apt-get clean autoremove --yes && \
+    rm -rf /var/lib/apt/lists/*
+
+# Set Python 3.11 as the default python version
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 && \
+    ln -sf /usr/bin/python3.11 /usr/bin/python
+
+# Install pip from source and upgrade it
+RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
+    python get-pip.py && \
+    rm get-pip.py && \
+    pip install --upgrade pip
+
+# Install latest release PyTorch (PyTorch must be installed before any DeepSpeed C++/CUDA ops.)
+RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/${CUDA} "torch==${PYTORCH}" torchvision torchaudio
+
+# Install and upgrade Flash Attention 2
+RUN pip install --no-cache-dir packaging ninja
+RUN MAX_JOBS=${MAX_JOBS} pip install --no-build-isolation flash-attn==${FLASH_ATTN}
+
+# Install Hugging Face Libraries
+RUN pip install --no-cache-dir \
+        "transformers[sklearn,sentencepiece,vision]==${TRANSFORMERS}" \
+        "huggingface_hub[hf_transfer]==${HUGGINGFACE_HUB}" \
+        "diffusers==${DIFFUSERS}" \
+        "datasets==${DATASETS}" \
+        "accelerate==${ACCELERATE}" \
+        "evaluate==${EVALUATE}" \
+        "peft==${PEFT}" \
+        "trl==${TRL}" \
+        "sentence-transformers==${SENTENCE_TRANSFORMERS}" \
+        "deepspeed==${DEEPSPEED}" \
+        "bitsandbytes==${BITSANDBYTES}" \
+        tensorboard \
+        jupyter notebook
+
+ENV HF_HUB_ENABLE_HF_TRANSFER="1"
+
+# Install Google Cloud Dependencies
+RUN pip install --upgrade --no-cache-dir \
+        google-cloud-storage \
+        google-cloud-bigquery \
+        google-cloud-aiplatform \
+        google-cloud-pubsub \
+        google-cloud-logging
+
+# Install Google CLI single command
+RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" \
+    | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \
+    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg \
+    | apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
+    touch /var/lib/dpkg/status && \
+    apt-get update -y && \
+    apt-get install google-cloud-sdk -y && \
+    apt-get clean autoremove --yes && \
+    rm -rf /var/lib/{apt,dpkg,cache,log}