comment

Author: calderjo

Dockerfile.tmpl

@@ -47,8 +47,9 @@ 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
 # b/302136621: Fix eli5 import for learntools
+# b/416137032: cuda 12.9.0 breaks datashader 1.18.0
 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" cuda-bindings==12.8.0 cuda-python==12.8.0 \
+    "nvidia-cudnn-cu12==9.3.0.75" cuda-bindings==12.8.0 2==12.8.0 \
     scipy tsfresh scikit-learn==1.2.2 category-encoders eli5
 
 RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"