riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-31 02:02:21 +06:00
Code Issues Actions 23 Packages Projects Releases Wiki Activity

Update docker files to use torch==2.1.0 (#26735)

Browse Source 
Update docker files to use torch 2.1

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar 2023-10-11 16:23:36 +02:00 committed by GitHub
parent 1d6a84749b
commit b219ae6bd4
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 4 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docker/transformers-all-latest-gpu/Dockerfile
View File

@ -9,7 +9,7 @@ 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='2.0.1'
ARG PYTORCH='2.1.0'
# (not always a valid torch version)
ARG INTEL_TORCH_EXT='1.11.0'
# Example: `cu102`, `cu113`, etc.

5
docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile
View File

@ -4,7 +4,7 @@ LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
ARG PYTORCH='2.0.1'
ARG PYTORCH='2.1.0'
# Example: `cu102`, `cu113`, etc.
ARG CUDA='cu118'
@ -36,7 +36,8 @@ RUN python3 -m pip uninstall -y torch-tensorrt
RUN python3 -m pip uninstall -y apex
RUN git clone https://github.com/NVIDIA/apex
# `MAX_JOBS=1` disables parallel building to avoid cpu memory OOM when building image on GitHub Action (standard) runners
RUN cd apex && git checkout 82ee367f3da74b4cd62a1fb47aa9806f0f47b58b && MAX_JOBS=1 python3 -m pip install --global-option="--cpp_ext" --global-option="--cuda_ext" --no-cache -v --disable-pip-version-check .
# TODO: check if there is alternative way to install latest apex
# RUN cd apex && MAX_JOBS=1 python3 -m pip install --global-option="--cpp_ext" --global-option="--cuda_ext" --no-cache -v --disable-pip-version-check .
# Pre-build **latest** DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout)
RUN python3 -m pip uninstall -y deepspeed