Hello! when I ran ./scripts/test_multi.sh using the provided data, the following error occurred. How can I solve this problem? Thanks~
You are using a CUDA device ('NVIDIA GeForce RTX 4080') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if not hasattr(tensorboard, "__version__") or LooseVersion(
/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
) < LooseVersion("1.15"):
Testing DataLoader 0: 1%|▏ | 1/99 [00:00<00:11, 8.50it/s]/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/skvideo/io/ffmpeg.py:466: DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
self._proc.stdin.write(vid.tostring())
Traceback (most recent call last):
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/skvideo/io/ffmpeg.py", line 466, in writeFrame
self._proc.stdin.write(vid.tostring())
BrokenPipeError: [Errno 32] Broken pipe
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 557, in <module>
main(hparams)
File "train.py", line 550, in main
trainer.test(system, dataloaders=system.test_dataloader())
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 706, in test
return call._call_and_handle_interrupt(
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/call.py", line 42, in _call_and_handle_interrupt
return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 92, in launch
return function(*args, **kwargs)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 749, in _test_impl
results = self._run(model, ckpt_path=ckpt_path)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 935, in _run
results = self._run_stage()
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 971, in _run_stage
return self._evaluation_loop.run()
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/loops/utilities.py", line 177, in _decorator
return loop_run(self, *args, **kwargs)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 115, in run
self._evaluation_step(batch, batch_idx, dataloader_idx)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/loops/evaluation_loop.py", line 375, in _evaluation_step
output = call._call_strategy_hook(trainer, hook_name, *step_kwargs.values())
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/trainer/call.py", line 288, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/pytorch_lightning/strategies/ddp.py", line 348, in test_step
return self.model.test_step(*args, **kwargs)
File "train.py", line 489, in test_step
self.video_visualizer.add(img)
File "/home/ft/Project/CoDeF/utils/video_visualizer.py", line 95, in add
self.video.writeFrame(frame)
File "/home/ft/.conda/envs/VIST/lib/python3.8/site-packages/skvideo/io/ffmpeg.py", line 471, in writeFrame
raise IOError(msg)
OSError: [Errno 32] Broken pipe
FFMPEG COMMAND:
/home/ft/.conda/envs/VIST/bin/ffmpeg -y -f rawvideo -pix_fmt rgb24 -s 540x960 -i - -r 30.00 -s 540x960 -vcodec libx264 -crf 1 -pix_fmt yuv420p /home/ft/Project/CoDeF/results/all_sequences/scene_0/base/scene_0_base.mp4
FFMPEG STDERR OUTPUT:
Testing DataLoader 0: 1%| | 1/99 [00:00<00:47, 2.07it/s]