decord._ffi.base.DECORDError: [16:56:24] /github/workspace/src/video/video_reader.cc:151: Check failed: st_nb >= 0 (-1381258232 vs. 0) ERROR cannot find video stream with wanted index: -1

when I trained in kinetics 400, it happened:

`=> base model: resnet50
kinetics: 400 classes
[06/22 16:52:42 TDN]: storing name: TDN__kinetics_RGB_resnet50_avg_segment8_e100

Initializing TSN with base model: resnet50.
TSN Configurations:
input_modality: RGB
num_segments: 8
new_length: 1
consensus_module: avg
dropout_ratio: 0.5
img_feature_dim: 256

=> base model: resnet50
[06/22 16:52:43 TDN]: [TDN-resnet50]group: first_conv_weight has 1 params, lr_mult: 1, decay_mult: 1
[06/22 16:52:43 TDN]: [TDN-resnet50]group: first_conv_bias has 1 params, lr_mult: 2, decay_mult: 0
[06/22 16:52:43 TDN]: [TDN-resnet50]group: normal_weight has 143 params, lr_mult: 1, decay_mult: 1
[06/22 16:52:43 TDN]: [TDN-resnet50]group: normal_bias has 64 params, lr_mult: 2, decay_mult: 0
[06/22 16:52:43 TDN]: [TDN-resnet50]group: BN scale/shift has 232 params, lr_mult: 1, decay_mult: 0
[06/22 16:52:43 TDN]: [TDN-resnet50]group: custom_ops has 0 params, lr_mult: 1, decay_mult: 1
video number:234619
video number:19760
video number:234619
video number:19760
libibverbs: Warning: couldn't open config directory '/etc/libibverbs.d'.
libibverbs: Warning: couldn't open config directory '/etc/libibverbs.d'.
[06/22 16:52:54 TDN]: Epoch: [0][0/14663], lr: 0.02000 Time 6.965 (6.965) Data 3.851 (3.851) Loss 5.9819 (5.9819) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000)
[06/22 16:53:05 TDN]: Epoch: [0][20/14663], lr: 0.02000 Time 0.951 (0.853) Data 0.000 (0.183) Loss 6.1689 (6.5195) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000)
[06/22 16:53:19 TDN]: Epoch: [0][40/14663], lr: 0.02000 Time 0.555 (0.782) Data 0.000 (0.094) Loss 6.0868 (6.3538) Prec@1 0.000 (0.305) Prec@5 0.000 (0.305)
[06/22 16:53:34 TDN]: Epoch: [0][60/14663], lr: 0.02000 Time 0.476 (0.761) Data 0.000 (0.063) Loss 6.1435 (6.2322) Prec@1 0.000 (0.205) Prec@5 0.000 (0.820)
[06/22 16:53:47 TDN]: Epoch: [0][80/14663], lr: 0.02000 Time 0.908 (0.742) Data 0.000 (0.048) Loss 5.7867 (6.1691) Prec@1 0.000 (0.309) Prec@5 0.000 (0.772)
[06/22 16:54:01 TDN]: Epoch: [0][100/14663], lr: 0.02000 Time 0.554 (0.729) Data 0.000 (0.038) Loss 5.7885 (6.1329) Prec@1 0.000 (0.371) Prec@5 0.000 (1.114)
[06/22 16:54:14 TDN]: Epoch: [0][120/14663], lr: 0.02000 Time 0.680 (0.719) Data 0.000 (0.032) Loss 6.0279 (6.1143) Prec@1 0.000 (0.310) Prec@5 0.000 (0.930)
[06/22 16:54:27 TDN]: Epoch: [0][140/14663], lr: 0.02000 Time 0.491 (0.708) Data 0.000 (0.027) Loss 5.8971 (6.0965) Prec@1 0.000 (0.266) Prec@5 0.000 (1.064)
[06/22 16:54:41 TDN]: Epoch: [0][160/14663], lr: 0.02000 Time 0.519 (0.704) Data 0.000 (0.024) Loss 5.8185 (6.0764) Prec@1 0.000 (0.311) Prec@5 12.500 (1.242)
[06/22 16:54:54 TDN]: Epoch: [0][180/14663], lr: 0.02000 Time 0.613 (0.702) Data 0.000 (0.021) Loss 5.8592 (6.0648) Prec@1 0.000 (0.345) Prec@5 0.000 (1.312)
[06/22 16:55:08 TDN]: Epoch: [0][200/14663], lr: 0.02000 Time 0.519 (0.699) Data 0.000 (0.019) Loss 5.9776 (6.0537) Prec@1 0.000 (0.435) Prec@5 0.000 (1.368)
[06/22 16:55:21 TDN]: Epoch: [0][220/14663], lr: 0.02000 Time 0.500 (0.697) Data 0.000 (0.018) Loss 6.0370 (6.0481) Prec@1 0.000 (0.396) Prec@5 0.000 (1.527)
[06/22 16:55:35 TDN]: Epoch: [0][240/14663], lr: 0.02000 Time 0.714 (0.698) Data 0.000 (0.016) Loss 5.8629 (6.0379) Prec@1 0.000 (0.363) Prec@5 12.500 (1.556)
[06/22 16:55:49 TDN]: Epoch: [0][260/14663], lr: 0.02000 Time 0.565 (0.695) Data 0.000 (0.015) Loss 5.8003 (6.0317) Prec@1 0.000 (0.431) Prec@5 0.000 (1.628)
[06/22 16:56:13 TDN]: Epoch: [0][280/14663], lr: 0.02000 Time 0.572 (0.733) Data 0.000 (0.014) Loss 5.8998 (6.0280) Prec@1 0.000 (0.445) Prec@5 0.000 (1.601)
[06/22 16:56:27 TDN]: Epoch: [0][300/14663], lr: 0.02000 Time 0.524 (0.731) Data 0.000 (0.013) Loss 5.8075 (6.0214) Prec@1 0.000 (0.415) Prec@5 0.000 (1.620)
Traceback (most recent call last):
File "main.py", line 361, in
main()
File "main.py", line 211, in main
train_loss, train_top1, train_top5 = train(train_loader, model, criterion, optimizer, epoch=epoch, logger=logger, scheduler=scheduler)
File "main.py", line 260, in train
for i, (input, target) in enumerate(train_loader):
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 363, in __next__
data = self._next_data()
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 971, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1014, in _process_data
data.reraise()
File "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
decord._ffi.base.DECORDError: Caught DECORDError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/workspace/mnt/storage/kanghaidong/new_video_project/video_project/TDN/ops/dataset.py", line 166, in __getitem__
video_list = decord.VideoReader(video_path)
File "/usr/local/lib/python3.6/dist-packages/decord/video_reader.py", line 55, in __init__
uri, ctx.device_type, ctx.device_id, width, height, num_threads, 0, fault_tol)
File "/usr/local/lib/python3.6/dist-packages/decord/_ffi/_ctypes/function.py", line 175, in __call__
ctypes.byref(ret_val), ctypes.byref(ret_tcode)))
File "/usr/local/lib/python3.6/dist-packages/decord/_ffi/base.py", line 78, in check_call
raise DECORDError(err_str)
decord._ffi.base.DECORDError: [16:56:24] /github/workspace/src/video/video_reader.cc:151: Check failed: st_nb >= 0 (-1381258232 vs. 0) ERROR cannot find video stream with wanted index: -1`
how to solve it?