Training FastPitch Using More Than 1 GPU Fails
**Describe the bug**
When training FastPitch on more than 1 GPU the following error occurs:
`AttributeError: Can't pickle local object 'FilterbankFeatures.__init__.<locals>.<lambda>'`

docker run command:
```
python fastpitch.py --config-name=fastpitch_align_v1.05.yaml train_dataset=/path/to/manifest.json validation_datasets=/path/to/manifest.json  sup_data_path=/path/to/wav exp_manager.exp_dir=path/to/dir trainer.max_epochs=10 trainer.check_val_every_n_epoch=1 model.train_ds.dataloader_params.batch_size=70 model.validation_ds.dataloader_params.batch_size=30 model.n_speakers=1 model.pitch_mean=152.3 model.pitch_std=64.0 model.pitch_fmin=30 model.pitch_fmax=512 model.optim.lr=1e-1 trainer.devices=6 trainer.strategy=null
```

**Environment details**
Docker image: nvcr.io/nvidia/nemo:23.01
GPU model: NVIDIA A100-SXM