Very long audio files : sub_iter.strides(0)[0] == 0 INTERNAL ASSERT FAILED about denoiser HOT 4 CLOSED

python -m denoiser.enhance --dns64 --noisy_dir=/gpfsscratch/rech/xdz/uow84uh/DATA/ACLEW10K_daylongs_subset --out_dir=/gpfsscratch/rech/xdz/uow84uh/DATA/ACLEW10K_daylongs_subset_enhanced_by_dns64_cuda --num_workers 10 --verbose --device cuda --streaming
/gpfswork/rech/xdz/uow84uh/.conda/envs/denoiser/lib/python3.7/site-packages/torchaudio/backend/utils.py:54: UserWarning: "sox" backend is being deprecated. The default backend will be changed to "sox_io" backend in 0.8.0 and "sox" backend will be removed in 0.9.0. Please migrate to "sox_io" backend. Please refer to https://github.com/pytorch/audio/issues/903 for the detail.
  '"sox" backend is being deprecated. '
DEBUG:__main__:Namespace(batch_size=1, device='cuda', dns48=False, dns64=True, dry=0, master64=False, model_path=None, noisy_dir='/gpfsscratch/rech/xdz/uow84uh/DATA/ACLEW10K_daylongs_subset', noisy_json=None, num_workers=10, out_dir='/gpfsscratch/rech/xdz/uow84uh/DATA/ACLEW10K_daylongs_subset_enhanced_by_dns64_cuda', sample_rate=16000, streaming=True, verbose=10)
INFO:denoiser.pretrained:Loading pre-trained real time H=64 model trained on DNS.
DEBUG:denoiser.pretrained:Demucs(
  (encoder): ModuleList(
    (0): Sequential(
      (0): Conv1d(1, 64, kernel_size=(8,), stride=(4,))
      (1): ReLU()
      (2): Conv1d(64, 128, kernel_size=(1,), stride=(1,))
      (3): GLU(dim=1)
    )
    (1): Sequential(
      (0): Conv1d(64, 128, kernel_size=(8,), stride=(4,))
      (1): ReLU()
      (2): Conv1d(128, 256, kernel_size=(1,), stride=(1,))
      (3): GLU(dim=1)
    )
    (2): Sequential(
      (0): Conv1d(128, 256, kernel_size=(8,), stride=(4,))
      (1): ReLU()
      (2): Conv1d(256, 512, kernel_size=(1,), stride=(1,))
      (3): GLU(dim=1)
    )
    (3): Sequential(
      (0): Conv1d(256, 512, kernel_size=(8,), stride=(4,))
      (1): ReLU()
      (2): Conv1d(512, 1024, kernel_size=(1,), stride=(1,))
      (3): GLU(dim=1)
    )
    (4): Sequential(
      (0): Conv1d(512, 1024, kernel_size=(8,), stride=(4,))
      (1): ReLU()
      (2): Conv1d(1024, 2048, kernel_size=(1,), stride=(1,))
      (3): GLU(dim=1)
    )
  )
  (decoder): ModuleList(
    (0): Sequential(
      (0): Conv1d(1024, 2048, kernel_size=(1,), stride=(1,))
      (1): GLU(dim=1)
      (2): ConvTranspose1d(1024, 512, kernel_size=(8,), stride=(4,))
      (3): ReLU()
    )
    (1): Sequential(
      (0): Conv1d(512, 1024, kernel_size=(1,), stride=(1,))
      (1): GLU(dim=1)
      (2): ConvTranspose1d(512, 256, kernel_size=(8,), stride=(4,))
      (3): ReLU()
    )
    (2): Sequential(
      (0): Conv1d(256, 512, kernel_size=(1,), stride=(1,))
      (1): GLU(dim=1)
      (2): ConvTranspose1d(256, 128, kernel_size=(8,), stride=(4,))
      (3): ReLU()
    )
    (3): Sequential(
      (0): Conv1d(128, 256, kernel_size=(1,), stride=(1,))
      (1): GLU(dim=1)
      (2): ConvTranspose1d(128, 64, kernel_size=(8,), stride=(4,))
      (3): ReLU()
    )
    (4): Sequential(
      (0): Conv1d(64, 128, kernel_size=(1,), stride=(1,))
      (1): GLU(dim=1)
      (2): ConvTranspose1d(64, 1, kernel_size=(8,), stride=(4,))
    )
  )
  (lstm): BLSTM(
    (lstm): LSTM(1024, 1024, num_layers=2)
  )
)
/var/spool/slurmd/job1228906/slurm_script: line 42:  8335 Killed                  python -m denoiser.enhance $PRETRAINED_MODEL --noisy_dir=${DATA_DIR} --out_dir=${DATA_DIR}_enhanced_by_${SUFFIX}_cuda --num_workers 10 --verbose --device cuda --streaming
slurmstepd: error: Detected 1 oom-kill event(s) in step 1228906.batch cgroup. Some of your processes may have been killed by the cgroup out-of-memory handler.