Update cutensor to the latest version compatible with its only dependent
in nixpkgs, cupy. Future work might wish to make multiple versions
available. Also update the URL format for all known versions.
Refactor derivation to pick the version that supports the current CUDA version.
Based on the implementation of the same concept in the cudnn derivation.
Add derivation for TensorRT 8, a high-performance deep learning interface SDK
from NVIDIA, which is at this point non-redistributable. The current version
aldo requires CUDA 11, so this is left out of the cudaPackages_10* scopes.
There are many different versions of the `cudatoolkit` and related
cuda packages, and it can be tricky to ensure they remain compatible.
- `cudaPackages` is now a package set with `cudatoolkit`, `cudnn`, `cutensor`, `nccl`, as well as `cudatoolkit` split into smaller packages ("redist");
- expressions should now use `cudaPackages` as parameter instead of the individual cuda packages;
- `makeScope` is now used, so it is possible to use `.overrideScope'` to set e.g. a different `cudnn` version;
- `release-cuda.nix` is introduced to easily evaluate cuda packages using hydra.
