PyPulseq requires GPU compute (cuPy) on Google Colab

[btasdelen]

This was brought to my attention during the Pulseq workshop. I tested it and confirmed it. Without GPU support, we can't import PyPulseq, because it requires SigPy, which requires cuPy and GPU compute.

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Failed to import CuPy.

If you installed CuPy via wheels (cupy-cudaXXX or cupy-rocm-X-X), make sure that the package matches with the version of CUDA or ROCm installed.

On Linux, you may need to set LD_LIBRARY_PATH environment variable depending on how you installed CUDA/ROCm.
On Windows, try setting CUDA_PATH environment variable.

Check the Installation Guide for details:
  https://docs.cupy.dev/en/latest/install.html

Original error:
  ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
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We should not really require GPU for sequence creation. SigPy lists cupy as optional. Is there a way to circumvent this error?