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Author: calderjo

Dockerfile.tmpl

@@ -35,7 +35,12 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 # b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
 # This conflict causes a number of package downgrades, which are handled in this command
 RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com "cuml-cu12==25.2.1" \
-    "nvidia-cudnn-cu12==9.3.0.75" "nvidia-cublas-cu12==12.5.3.2" "nvidia-cusolver-cu12==11.6.3.83"
+    "nvidia-cudnn-cu12==9.3.0.75" "nvidia-cublas-cu12==12.5.3.2" "nvidia-cusolver-cu12==11.6.3.83" \
+    "nvidia-cuda-cupti-cu12==12.5.82" "nvidia-cuda-nvrtc-cu12==12.5.82" "nvidia-cuda-runtime-cu12==12.5.82" \
+    "nvidia-cufft-cu12==11.2.3.61" "nvidia-curand-cu12==10.3.6.82" "nvidia-cusparse-cu12==12.5.1.3" \
+    "nvidia-nvjitlink-cu12==12.5.82"
+
+RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"
 
 # b/385145217 Latest Colab lacks mkl numpy, install it.
 RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel/simple numpy