Fix: 'IterableDatasetWrapper' has no len() when using Lhotse datasets

[AudranBert]

What does this PR do ?

This PR fixes the error #12093. As said in the doc, lhotse datasets don't have a length associated, so it is impossible to set _trainer.limit_train_batches. Instead of throwing an error it will just show a warning saying that _trainer.limit_train_batches is not compatible with lhotse datasets

This PR is a draft because I need to make sure it doesn't break something else. I also need to check if the same errors can happen on other model classes (rnnt...).

Collection: ASR

Changelog

• Fix bug with Lhotse datasets and ctc models

Usage

init_from_nemo_model: ".cache/huggingface/hub/models--nvidia--parakeet-ctc-0.6b/snapshots/16ca39445465932bfbaeb5126933d5ce8bd43a77/parakeet-ctc-0.6b.nemo" # path to nemo model
model:
  sample_rate: 16000
  compute_eval_loss: true
  log_prediction: false     # enables logging sample predictions in the output during training
  ctc_reduction: 'mean_volume'
  skip_nan_grad: false
  seed: 42
  train_ds:
    sample_rate: ${model.sample_rate}
    batch_size: 1 # must be 1 if using bucketing_batch_size
    shuffle: true
    pin_memory: true
    max_duration: 30.1
    min_duration: 0.1
    shuffle_n: 2048
    num_workers: 8
    manifest_filepath:
    manifest_filepath: tarred_datasets/sharded_manifests/manifest__OP_0..95_CL_.json
    tarred_audio_filepaths: tarred_datasets/audio__OP_0..95_CL_.tar
    use_lhotse: true
    batch_duration: 1100
    quadratic_duration: 30
    num_buckets: 30
    num_cuts_for_bins_estimate: 10000
    bucket_buffer_size: 10000
    shuffle_buffer_size: 10000
    use_bucketing: true

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Additional Information

• Related to ASR Lhotse dataloader : TypeError: object of type 'IterableDatasetWrapper' has no len() #12093