Update Dockerfile.ci to pin nvidia-cublas-cu12 and add numpy installation, ensuring proper dependency management for the build environment.

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>

docker/Dockerfile.ci

@@ -36,15 +36,16 @@ RUN uv pip uninstall --system nvidia-cublas-cu12
 # Use bash -c so that $(python3 -c ...) is expanded inside the container.
 RUN /bin/bash -c 'uv pip install --python "$(python3 -c "import sys; print(sys.executable)")" --no-cache-dir -e ".[dev]"'
 
-# Pin nvidia-cublas-cu12 after vllm-omni install so dependency resolution does not overwrite it
-RUN uv pip install --system --upgrade --force-reinstall "nvidia-cublas-cu12==12.9.1.4"
+
 RUN /bin/bash -c 'FLASHINFER_CUDA_TAG="$(python3 -c "import torch; print((torch.version.cuda or \"12.4\").replace(\".\", \"\"))")" && \
     uv pip install --system --upgrade --force-reinstall \
       "flashinfer-python==0.6.3" \
       "flashinfer-cubin==0.6.3" \
       "flashinfer-jit-cache==0.6.3" \
       --extra-index-url "https://flashinfer.ai/whl/cu${FLASHINFER_CUDA_TAG}"'
-
+# Pin nvidia-cublas-cu12 after vllm-omni install so dependency resolution does not overwrite it
+RUN uv pip install --system --upgrade --force-reinstall "nvidia-cublas-cu12==12.9.1.4"
+RUN uv pip install --system --upgrade --force-reinstall "numpy==2.2.6"
 RUN ln -sf /usr/bin/python3 /usr/bin/python
 
 ENTRYPOINT []