RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

[jiangyijin]

Hello, I used two RTX 4090 graphics cards. when I run python runners/hypersim/triangulation.py --output_dir outputs/quickstart_triangulation, I encountered the following error:
Extracting colors

Computing visual neighbors... (n_neighbors = 20)
[LOG] Start 2D line detection and description (detector = deeplsd, extractor = wireframe, n_images = 98)...
100% | | 98/98 [00:32<00:00, 3.05it/s]
Loaded SuperPoint model
100% | |98/98 [00:02<00:00, 32.92it/s]
[LOG] Start matching 2D lines... (extractor = wireframe, matcher = gluestick, n_images = 98, n_neighbors = 20)
Loaded SuperPoint model
0%| | 0/98 [00:00<?, ?it/s]../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:144: operator(): block: [2,0,0], thread: [96,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed.
../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:144: operator(): block: [2,0,0], thread: [98,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed.
../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:144: operator(): block: [2,0,0], thread: [100,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed.

RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

0%| | 0/98 [00:00<?, ?it/s]