format with black

TTS/bin/convert_melgan_torch_to_tf.py

@@ -7,8 +7,11 @@ import tensorflow as tf
 import torch
 
 from TTS.utils.io import load_config
-from TTS.vocoder.tf.utils.convert_torch_to_tf_utils import (compare_torch_tf, convert_tf_name,
-                                                            transfer_weights_torch_to_tf)
+from TTS.vocoder.tf.utils.convert_torch_to_tf_utils import (
+    compare_torch_tf,
+    convert_tf_name,
+    transfer_weights_torch_to_tf,
+)
 from TTS.vocoder.tf.utils.generic_utils import setup_generator as setup_tf_generator
 from TTS.vocoder.tf.utils.io import save_checkpoint
 from TTS.vocoder.utils.generic_utils import setup_generator

TTS/bin/synthesize.py

@@ -4,6 +4,7 @@
 import argparse
 import sys
 from argparse import RawTextHelpFormatter
+
 # pylint: disable=redefined-outer-name, unused-argument
 from pathlib import Path
 

TTS/bin/train_encoder.py

@@ -17,8 +17,13 @@ from TTS.speaker_encoder.utils.generic_utils import check_config_speaker_encoder
 from TTS.speaker_encoder.utils.visual import plot_embeddings
 from TTS.tts.datasets.preprocess import load_meta_data
 from TTS.utils.audio import AudioProcessor
-from TTS.utils.generic_utils import (count_parameters, create_experiment_folder, get_git_branch,
-                                     remove_experiment_folder, set_init_dict)
+from TTS.utils.generic_utils import (
+    count_parameters,
+    create_experiment_folder,
+    get_git_branch,
+    remove_experiment_folder,
+    set_init_dict,
+)
 from TTS.utils.io import copy_model_files, load_config
 from TTS.utils.radam import RAdam
 from TTS.utils.tensorboard_logger import TensorboardLogger

TTS/bin/train_glow_tts.py

@@ -8,6 +8,7 @@ import traceback
 from random import randrange
 
 import torch
+
 # DISTRIBUTED
 from torch.nn.parallel import DistributedDataParallel as DDP_th
 from torch.utils.data import DataLoader

TTS/bin/train_speedy_speech.py

@@ -9,6 +9,7 @@ from random import randrange
 
 import numpy as np
 import torch
+
 # DISTRIBUTED
 from torch.nn.parallel import DistributedDataParallel as DDP_th
 from torch.utils.data import DataLoader

TTS/bin/train_tacotron.py

@@ -26,8 +26,14 @@ from TTS.utils.audio import AudioProcessor
 from TTS.utils.distribute import DistributedSampler, apply_gradient_allreduce, init_distributed, reduce_tensor
 from TTS.utils.generic_utils import KeepAverage, count_parameters, remove_experiment_folder, set_init_dict
 from TTS.utils.radam import RAdam
-from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, gradual_training_scheduler, set_weight_decay,
-                                setup_torch_training_env)
+from TTS.utils.training import (
+    NoamLR,
+    adam_weight_decay,
+    check_update,
+    gradual_training_scheduler,
+    set_weight_decay,
+    setup_torch_training_env,
+)
 
 use_cuda, num_gpus = setup_torch_training_env(True, False)
 

TTS/bin/train_vocoder_gan.py

@@ -9,6 +9,7 @@ import traceback
 from inspect import signature
 
 import torch
+
 # DISTRIBUTED
 from torch.nn.parallel import DistributedDataParallel as DDP_th
 from torch.utils.data import DataLoader

TTS/bin/train_vocoder_wavegrad.py

@@ -8,6 +8,7 @@ import traceback
 
 import numpy as np
 import torch
+
 # DISTRIBUTED
 from torch.nn.parallel import DistributedDataParallel as DDP_th
 from torch.optim import Adam

TTS/bin/train_vocoder_wavernn.py

@@ -25,7 +25,6 @@ from TTS.vocoder.utils.io import save_best_model, save_checkpoint
 # from torch.utils.data.distributed import DistributedSampler
 
 
-
 use_cuda, num_gpus = setup_torch_training_env(True, True)
 
 

TTS/tts/layers/feed_forward/encoder.py

@@ -147,9 +147,7 @@ class Encoder(nn.Module):
                 in_hidden_channels == out_channels
             ), "[!] must be `in_channels` == `out_channels` when encoder type is 'fftransformer'"
             # pylint: disable=unexpected-keyword-arg
-            self.encoder = FFTransformerBlock(
-                in_hidden_channels, **encoder_params
-            )
+            self.encoder = FFTransformerBlock(in_hidden_channels, **encoder_params)
         else:
             raise NotImplementedError(" [!] unknown encoder type.")
 

TTS/utils/synthesizer.py

@@ -6,6 +6,7 @@ import torch
 
 from TTS.tts.utils.generic_utils import setup_model
 from TTS.tts.utils.speakers import load_speaker_mapping
+
 # pylint: disable=unused-wildcard-import
 # pylint: disable=wildcard-import
 from TTS.tts.utils.synthesis import synthesis, trim_silence

TTS/vocoder/tf/models/melgan_generator.py

@@ -9,7 +9,6 @@ os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"  # FATAL
 logging.getLogger("tensorflow").setLevel(logging.FATAL)
 
 
-
 # pylint: disable=too-many-ancestors
 # pylint: disable=abstract-method
 class MelganGenerator(tf.keras.models.Model):