RuntimeError: Index put requires the source and destination dtypes match, got Long for the destination and Int for the source.

When I am trying to run inference to yield an unconditional monomer as described in the README, I get the following error:

_[2023-04-01 20:22:08,689][main][INFO] - Making design test_outputs/test_0
[2023-04-01 20:22:08,692][inference.model_runners][INFO] - Using contig: ['150-150']
Error executing job with overrides: ['contigmap.contigs=[150-150]', 'inference.output_prefix=test_outputs/test', 'inference.num_designs=10']
Traceback (most recent call last):
File "C:\Users\Norb\RFdiffusion\run_inference.py", line 76, in main
x_init, seq_init = sampler.sample_init()
File "C:\Users\Norb\RFdiffusion\inference\model_runners.py", line 341, in sample_init
seq_t[contig_map.hal_idx0] = seq_orig[contig_map.ref_idx0]
RuntimeError: Index put requires the source and destination dtypes match, got Long for the destination and Int for the source.

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
(SE3nv)_

Sorry in case I am missing something basic, I am an absolute beginner. Thank you so much in advance.

Start with inference/model_runners.py at line 341, where sample_init assigns seq_orig[contig_map.ref_idx0] into seq_t[contig_map.hal_idx0]. Reproduce the README unconditional-monomer inference using the shown Hydra overrides, inspect the two tensor dtypes, and confirm that inference completes without the reported RuntimeError.