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I'm able to execute the code on the chair example : python run_nerf.py --config configs/chair.txt --finest_res 512 --log2_hashmap_size 19 --lrate 0.01 --lrate_decay 10
I nevertheless had to bring some modifications .
in run_nerf.py, replace set_default_tensor_type by torch.set_default_device(device) ; Not sure If we have to enforce the dtype as well
in run_nerf.py, replace torch.Tensor([1e10]) (which was on CPU for some reasons, despite the set_default_device ?!) by torch.tensor([1e10]) (which correctly used the default device)
do the same as above in run_nerf_helpers.py for the ms2psnr lambda function
edit: I believe the code is running , the PSNR is increasing; and here is an example frame produced at iteration 2000
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