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use cuda 13.0.2

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This commit is contained in:
Jintao Huang
2026-06-04 19:27:30 +08:00
parent 3a82ba027f
commit 2be3e5c2ea
2 changed files with 3 additions and 3 deletions
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2
docker/Dockerfile.ubuntu
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@@ -68,7 +68,7 @@ RUN if [ "$IMAGE_TYPE" = "gpu" ]; then \
pip install --no-cache-dir math_verify "datasets<4.8.5" "gradio<5.33" "deepspeed<0.19" ray -U && \
pip install --no-cache-dir mcore-bridge -i https://pypi.org/simple/ -U && \
pip install --no-cache-dir pybind11 liger_kernel wandb swanlab nvitop pre-commit "transformers<5.9" "trl<1.0" "peft<0.20" huggingface-hub -U && \
pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable --no-build-isolation; \
pip install --no-cache-dir --no-build-isolation transformer_engine[pytorch]; \
pip install git+https://github.com/deepseek-ai/DeepGEMM.git@v2.1.1.post3 --no-build-isolation; \
pip install -U flash-linear-attention --no-build-isolation; \
pip install -U git+https://github.com/Dao-AILab/causal-conv1d --no-build-isolation; \

4
docker/build_image.py
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@@ -408,9 +408,9 @@ class LatestGPUImageBuilder(StableGPUImageBuilder):
args.vllm_version = '0.21.0'
if not args.base_image:
# A mirrored image of nvidia/cuda:12.4.0-devel-ubuntu22.04
args.base_image = 'nvidia/cuda:13.0.3-cudnn-devel-ubuntu22.04'
args.base_image = 'nvidia/cuda:13.0.2-cudnn-devel-ubuntu22.04'
if not args.cuda_version:
args.cuda_version = '13.0.3'
args.cuda_version = '13.0.2'
return super().init_args(args)
def generate_dockerfile(self) -> str: