data_functions.py

# Adapted from
# https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch

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"""Generic functions to get specific collate, dataloader and batch_to_gpu functions
for the model.
"""

__all__ = ['get_collate_function', 'get_data_loader', 'get_batch_to_gpu']

from typing import Callable
import torch

from fastpitch.data_function import (TextMelAliCollate, TextMelAliLoader,
                                     batch_to_gpu as batch_to_gpu_fastpitch)
from tacotron2.data_function import batch_to_gpu as batch_to_gpu_tacotron2
from tacotron2.data_function import TextMelCollate, TextMelLoader
from waveglow.data_function import batch_to_gpu as batch_to_gpu_waveglow
from waveglow.data_function import MelAudioLoader


def get_collate_function(model_name: str) -> Callable:
    """Return a collate function for the `model_name`."""

    if model_name not in ['Tacotron2', 'WaveGlow', 'FastPitch']:
        raise NotImplementedError(f"Unknown {model_name}")

    return {'Tacotron2': lambda _: TextMelCollate(n_frames_per_step=1),
            'WaveGlow': lambda _: torch.utils.data.dataloader.default_collate,
            'FastPitch': TextMelAliCollate}[model_name]()


def get_data_loader(model_name: str, *args) -> Callable:
    """Return a DataLoader for the `model_name`."""

    if model_name not in ['Tacotron2', 'WaveGlow', 'FastPitch']:
        raise NotImplementedError(f"Unknown {model_name}")

    return {'Tacotron2': TextMelLoader,
            'WaveGlow': MelAudioLoader,
            'FastPitch': TextMelAliLoader}[model_name](*args)


def get_batch_to_gpu(model_name: str) -> Callable:
    """Return a function for placing a batch to GPU for the `model_name`."""

    if model_name not in ['Tacotron2', 'WaveGlow', 'FastPitch']:
        raise NotImplementedError(f"Unknown {model_name}")

    return {'Tacotron2': batch_to_gpu_tacotron2,
            'WaveGlow': batch_to_gpu_waveglow,
            'FastPitch': batch_to_gpu_fastpitch}[model_name]