#!/bin/bash
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set -e
set -u

# Accept CUDA version as parameter (e.g., cu126, cu128, cu129)
CUDA_VERSION=${1:-cu128}

# Install requirements.txt first, so we can override any versions later for docker image
pip3 install -r /install/requirements.txt
pip3 install --force-reinstall torch --index-url https://download.pytorch.org/whl/${CUDA_VERSION}
pip3 install responses pytest scipy build cuda-python nvidia-nvshmem-cu12

# Install cudnn package based on CUDA version
if [[ "$CUDA_VERSION" == *"cu13"* ]]; then
  pip3 install --upgrade cuda-python==13.0
  pip3 install "nvidia-cudnn-cu13>=9.12.0.46"
else
  pip3 install --upgrade cuda-python==12.*
  pip3 install "nvidia-cudnn-cu12>=9.11.0.98"
fi
