chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:17:40 +08:00
commit f1825c8ceb
10096 changed files with 2364182 additions and 0 deletions
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# Dockerfile used to create the docker image for `03_serving_stable_diffusion`.
FROM anyscale/ray:latest-py39-cu118
COPY requirements.txt ./
RUN pip install --no-cache-dir -U -r requirements.txt
RUN echo "Testing Ray Import..." && python -c "import ray"
RUN ray --version
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accelerate==0.20.3
diffusers==0.17.1
fastapi==0.97.0
ipywidgets
matplotlib==3.7.1
numpy==1.24.3
torch==2.0.1
transformers==4.30.1
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# Dockerfile used to create the docker image for `04_finetuning_llms_with_deepspeed`.
FROM anyscale/ray:2.9.0-py310-cu121
COPY requirements.txt ./
RUN sudo apt-get update
RUN sudo apt-get install -y libaio1
RUN pip install --upgrade pip
# We need pydantic at this version to install deepspeed 0.10.2 (as part of the requirements.txt)
RUN pip install pydantic==1.10.7
RUN pip install -U -r requirements.txt
RUN pip install torch==2.1.1 --index-url https://download.pytorch.org/whl/cu121
RUN pip install flash-attn==2.4.2 --no-build-isolation
RUN echo "Testing Ray Import..." && python -c "import ray"
RUN ray --version
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deepspeed==0.10.2
fairscale
transformers>=4.36.2
dataset
accelerate
evaluate
wandb
pytorch-lightning
protobuf
torchmetrics
sentencepiece
peft==0.7.0