mirror of
https://github.com/wassname/TTS.git
synced 2026-09-12 12:11:47 +08:00
pylint fix
This commit is contained in:
+10
-9
@@ -72,7 +72,7 @@ class AudioProcessor(object):
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# setup scaler
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if stats_path:
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mel_mean, mel_std, linear_mean, linear_std, _ = self.load_stats(stats_path)
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self.setup_scaler(mel_mean, mel_std, linear_mean,linear_std)
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self.setup_scaler(mel_mean, mel_std, linear_mean, linear_std)
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self.signal_norm = True
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self.max_norm = None
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self.clip_norm = None
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@@ -107,7 +107,7 @@ class AudioProcessor(object):
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# mean-var scaling
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if hasattr(self, 'mel_scaler'):
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if S.shape[0] == self.num_mels:
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return self.mel_scaler.transform(S.T).T
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return self.mel_scaler.transform(S.T).T
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elif S.shape[0] == self.n_fft / 2:
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return self.linear_scaler.transform(S.T).T
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else:
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@@ -136,7 +136,7 @@ class AudioProcessor(object):
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# mean-var scaling
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if hasattr(self, 'mel_scaler'):
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if S_denorm.shape[0] == self.num_mels:
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return self.mel_scaler.inverse_transform(S_denorm.T).T
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return self.mel_scaler.inverse_transform(S_denorm.T).T
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elif S_denorm.shape[0] == self.n_fft / 2:
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return self.linear_scaler.inverse_transform(S_denorm.T).T
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else:
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@@ -168,10 +168,10 @@ class AudioProcessor(object):
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for key in stats_config.keys():
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if key in skip_parameters:
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continue
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assert stats_config[key] == self.__dict__[
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key], f" [!] Audio param {key} does not match the value used for computing mean-var stats. {stats_config[key]} vs {self.__dict__[key]}"
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assert stats_config[key] == self.__dict__[key],\
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f" [!] Audio param {key} does not match the value used for computing mean-var stats. {stats_config[key]} vs {self.__dict__[key]}"
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return mel_mean, mel_std, linear_mean, linear_std, stats_config
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# pylint: disable=attribute-defined-outside-init
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def setup_scaler(self, mel_mean, mel_std, linear_mean, linear_std):
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self.mel_scaler = StandardScaler()
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@@ -180,9 +180,11 @@ class AudioProcessor(object):
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self.linear_scaler.set_stats(linear_mean, linear_std)
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### DB and AMP conversion ###
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# pylint: disable=no-self-use
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def _amp_to_db(self, x):
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return 20 * np.log10(np.maximum(1e-5, x))
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# pylint: disable=no-self-use
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def _db_to_amp(self, x):
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return np.power(10.0, x * 0.05)
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@@ -269,15 +271,14 @@ class AudioProcessor(object):
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y = self._istft(S_complex * angles)
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return y
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def compute_stft_paddings(self,x, pad_sides=1):
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def compute_stft_paddings(self, x, pad_sides=1):
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'''compute right padding (final frame) or both sides padding (first and final frames)
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'''
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assert pad_sides in (1, 2)
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pad = (x.shape[0] // self.hop_length + 1) * self.hop_length - x.shape[0]
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if pad_sides == 1:
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return 0, pad
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else:
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return pad // 2, pad // 2 + pad % 2
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return pad // 2, pad // 2 + pad % 2
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### Audio Processing ###
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def find_endpoint(self, wav, threshold_db=-40, min_silence_sec=0.8):
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@@ -22,6 +22,7 @@ class ConsoleLogger():
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self.old_epoch_loss_dict = None
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self.old_eval_loss_dict = None
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# pylint: disable=no-self-use
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def get_time(self):
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now = datetime.datetime.now()
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return now.strftime("%Y-%m-%d %H:%M:%S")
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@@ -47,10 +48,11 @@ class ConsoleLogger():
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log_text += "{}{}: {:.5f} ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}'])
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else:
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log_text += "{}{}: {:.5f} \n".format(indent, key, value)
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log_text += "{}avg_spec_len: {}\n{}avg_text_len: {}\n{}step_time: {:.2f}\n{}loader_time: {:.2f}\n{}lr: {:.5f}"\
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.format(indent, avg_spec_length, indent, avg_text_length, indent, step_time, indent, loader_time, indent, lr)
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log_text += f"{indent}avg_spec_len: {avg_spec_length}\n{indent}avg_text_len: {avg_text_length}\n{indent}\
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step_time: {step_time:.2f}\n{indent}loader_time: {loader_time:.2f}\n{indent}lr: {lr:.5f}"
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print(log_text, flush=True)
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# pylint: disable=unused-argument
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def print_train_epoch_end(self, global_step, epoch, epoch_time,
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print_dict):
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indent = " | > "
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+5
-11
@@ -369,7 +369,7 @@ class KeepAverage():
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return self.avg_values[key]
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def items(self):
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return self.avg_values.items()
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return self.avg_values.items()
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def add_value(self, name, init_val=0, init_iter=0):
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self.avg_values[name] = init_val
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@@ -412,7 +412,7 @@ def _check_argument(name, c, enum_list=None, max_val=None, min_val=None, restric
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tcolors = AttrDict({
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'OKBLUE': '\033[94m',
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'HEADER': '\033[95m',
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'HEADER': '\033[95m',
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'OKGREEN': '\033[92m',
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'WARNING': '\033[93m',
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'FAIL': '\033[91m',
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@@ -428,17 +428,10 @@ def print_train_step(batch_steps, step, global_step, avg_spec_length, avg_text_l
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log_text = "{} --> STEP: {}/{} -- GLOBAL_STEP: {}{}\n".format(tcolors.BOLD, step, batch_steps, global_step, tcolors.ENDC)
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for key, value in print_dict.items():
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log_text += "{}{}: {:.5f}\n".format(indent, key, value)
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log_text += "{}avg_spec_len: {}\n{}avg_text_len: {}\n{}step_time: {:.2f}\n{}loader_time: {:.2f}\n{}lr: {:.5f}"\
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log_text += f"{indent}avg_spec_len: {avg_spec_length}\n{indent}avg_text_len: {avg_text_length}\
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\n{indent}step_time: {step_time:.2f}\n{indent}loader_time: {loader_time:.2f}\n{indent}lr: {lr:.5f}"\
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.format(indent, avg_spec_length, indent, avg_text_length, indent, step_time, indent, loader_time, indent, lr)
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print(log_text, flush=True)
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def print_train_epoch(step, global_step, epoch, loss_dict):
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pass
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def print_eval_step():
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pass
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def check_config(c):
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@@ -530,6 +523,7 @@ def check_config(c):
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_check_argument('tb_model_param_stats', c, restricted=True, val_type=bool)
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# dataloading
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# pylint: disable=import-outside-toplevel
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from TTS.utils.text import cleaners
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_check_argument('text_cleaner', c, restricted=True, val_type=str, enum_list=dir(cleaners))
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_check_argument('enable_eos_bos_chars', c, restricted=True, val_type=bool)
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+1
-1
@@ -40,7 +40,7 @@ def plot_spectrogram(linear_output, audio, fig_size=(16, 10)):
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return fig
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def visualize(alignment, postnet_output, stop_tokens, text, hop_length, CONFIG, decoder_output=None, output_path=None, figsize=[8, 24]):
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def visualize(alignment, postnet_output, stop_tokens, text, hop_length, CONFIG, decoder_output=None, output_path=None, figsize=(8, 24)):
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if decoder_output is not None:
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num_plot = 4
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else:
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