init

transformers/docker/transformers-quantization-latest-gpu/Dockerfile

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+FROM nvidia/cuda:12.6.0-cudnn-devel-ubuntu22.04
+LABEL maintainer="Hugging Face"
+
+ARG DEBIAN_FRONTEND=noninteractive
+
+# Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands)
+SHELL ["sh", "-lc"]
+
+# The following `ARG` are mainly used to specify the versions explicitly & directly in this docker file, and not meant
+# to be used as arguments for docker build (so far).
+
+ARG PYTORCH='2.8.0'
+# Example: `cu102`, `cu113`, etc.
+ARG CUDA='cu126'
+# Disable kernel mapping for quantization tests
+ENV DISABLE_KERNEL_MAPPING=1
+
+RUN apt update
+RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg
+RUN python3 -m pip install --no-cache-dir --upgrade pip
+
+ARG REF=main
+RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF
+
+RUN [ ${#PYTORCH} -gt 0 ] && VERSION='torch=='$PYTORCH'.*' ||  VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
+RUN echo torch=$VERSION
+# `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
+# Currently, let's just use their latest releases (when `torch` is installed with a release version)
+RUN python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio torchcodec --extra-index-url https://download.pytorch.org/whl/$CUDA
+
+RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
+
+# needed in bnb and awq
+RUN python3 -m pip install --no-cache-dir einops
+
+# Add bitsandbytes for mixed int8 testing
+RUN python3 -m pip install --no-cache-dir bitsandbytes
+
+# Add gptqmodel for gtpq quantization testing, installed from source for pytorch==2.6.0 compatibility
+RUN python3 -m pip install lm_eval
+RUN git clone https://github.com/ModelCloud/GPTQModel.git && cd GPTQModel && pip install -v . --no-build-isolation
+
+# Add optimum for gptq quantization testing
+RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
+
+# Add PEFT
+RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft
+
+# Add hqq for quantization testing
+RUN python3 -m pip install --no-cache-dir hqq
+
+# For GGUF tests
+RUN python3 -m pip install --no-cache-dir gguf
+
+# Add autoawq for quantization testing
+RUN python3 -m pip install --no-cache-dir autoawq[kernels]
+
+# Add quanto for quantization testing
+RUN python3 -m pip install --no-cache-dir optimum-quanto
+
+# Add compressed-tensors for quantization testing
+RUN python3 -m pip install --no-cache-dir compressed-tensors
+
+# Add AMD Quark for quantization testing
+RUN python3 -m pip install --no-cache-dir amd-quark
+
+# Add AutoRound for quantization testing
+RUN python3 -m pip install --no-cache-dir auto-round
+
+# Add torchao for quantization testing
+RUN python3 -m pip install --no-cache-dir torchao
+
+# Add transformers in editable mode
+RUN python3 -m pip install --no-cache-dir -e ./transformers[dev-torch]
+
+# `kernels` may give different outputs (within 1e-5 range) even with the same model (weights) and the same inputs
+RUN python3 -m pip uninstall -y kernels
+
+# Uninstall flash-attn installed by autoawq, it causes issues here : https://github.com/huggingface/transformers/actions/runs/15915442841/job/44892146131
+RUN python3 -m pip uninstall -y flash-attn
+
+# When installing in editable mode, `transformers` is not recognized as a package.
+# this line must be added in order for python to be aware of transformers.
+RUN cd transformers && python3 setup.py develop
+
+# Low usage or incompatible lib, will enable later on
+
+# # Add aqlm for quantization testing
+# RUN python3 -m pip install --no-cache-dir aqlm[gpu]==1.0.2
+
+# # Add vptq for quantization testing
+# RUN pip install vptq
+
+# Add spqr for quantization testing
+# Commented for now as No matching distribution found we need to reach out to the authors
+# RUN python3 -m pip install --no-cache-dir spqr_quant[gpu]
+
+# # Add eetq for quantization testing
+# RUN git clone https://github.com/NetEase-FuXi/EETQ.git && cd EETQ/ && git submodule update --init --recursive && pip install .
+
+# # Add flute-kernel and fast_hadamard_transform for quantization testing
+# # Commented for now as they cause issues with the build
+# # TODO: create a new workflow to test them
+# RUN python3 -m pip install --no-cache-dir flute-kernel==0.4.1
+# RUN python3 -m pip install --no-cache-dir git+https://github.com/Dao-AILab/fast-hadamard-transform.git
+
+# Add fp-quant for quantization testing
+# Requires py3.11 but our CI runs on 3.9
+# RUN python3 -m pip install --no-cache-dir "fp-quant>=0.1.6"