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generate_data_properties.py

@@ -4,6 +4,7 @@
 
 Parameters from hparam.py will be used
 """
+
 import argparse
 import os
 import sys

hifigandenoiser.py

@@ -1,4 +1,5 @@
 """Waveglow style denoiser can be used to remove the artifacts from the HiFiGAN generated audio."""
+
 import torch
 
 from src.utilities.stft import STFT

src/data_module.py

@@ -3,6 +3,7 @@
 
 Contains PyTorch-Lightning's datamodule and dataloaders
 """
+
 import nltk
 import pytorch_lightning as pl
 from torch.utils.data import DataLoader

src/hparams.py

@@ -3,6 +3,7 @@
 
 Hyper Parameters for the experiment
 """
+
 import os
 from argparse import Namespace
 

src/model/HMMComponents/Decoder.py

@@ -1,5 +1,6 @@
 """Parameter Model This model takes state as an input and generates its parameters i.e mean, standard deviation and
 the probability of transition to the next state."""
+
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

src/model/HMMComponents/TransitionModel.py

@@ -3,6 +3,7 @@
 This network is responsible for the models response of whether to switch to next state or keep emitting at the current
 state.
 """
+
 import torch
 import torch.nn as nn
 

src/model/layers.py

@@ -2,6 +2,7 @@
 
 Layer modules used in the model design
 """
+
 import torch
 import torch.nn as nn
 from librosa.filters import mel as librosa_mel_fn

src/training_module.py

@@ -4,6 +4,7 @@
 This file contains PyTorch Lightning's main module where code
 of the main model is implemented
 """
+
 import os
 from argparse import Namespace
 

src/utilities/data.py

@@ -3,6 +3,7 @@
 
 Utilities for processing of Data
 """
+
 import random
 
 import numpy as np

src/utilities/functions.py

@@ -2,6 +2,7 @@
 
 File for custom utility functions to improve numerical precision
 """
+
 import torch
 
 

src/utilities/plotting.py

@@ -3,6 +3,7 @@
 
 File contains utilities for plotting
 """
+
 from typing import Any
 
 import matplotlib

src/utilities/text/__init__.py

@@ -1,4 +1,5 @@
 """from https://github.com/keithito/tacotron."""
+
 import re
 
 from src.utilities.text import cleaners

train.py

@@ -3,6 +3,7 @@
 
 PyTorch-Lightning Trainer file, main file to run your training
 """
+
 import argparse
 import os