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Is there any particular reason for using numpy instead of jax.numpy?
I will be doing GNN training on GPU, which requires the data to stay on the GPU devices, and I'm not sure if using numpy array is good idea in this case.
The text was updated successfully, but these errors were encountered:
I just found this issue while using this util function in my project, as shown here:
https://github.com/deepmind/jraph/blob/51f5990104f7374492f8f3ea1cbc47feb411c69c/jraph/_src/utils.py#L614-L619
Is there any particular reason for using numpy instead of jax.numpy?
I will be doing GNN training on GPU, which requires the data to stay on the GPU devices, and I'm not sure if using numpy array is good idea in this case.
The text was updated successfully, but these errors were encountered: