import datetime from TTS.utils.io import AttrDict tcolors = AttrDict({ 'OKBLUE': '\033[94m', 'HEADER': '\033[95m', 'OKGREEN': '\033[92m', 'WARNING': '\033[93m', 'FAIL': '\033[91m', 'ENDC': '\033[0m', 'BOLD': '\033[1m', 'UNDERLINE': '\033[4m' }) class ConsoleLogger(): def __init__(self): # TODO: color code for value changes # use these to compare values between iterations self.old_train_loss_dict = None self.old_epoch_loss_dict = None self.old_eval_loss_dict = None # pylint: disable=no-self-use def get_time(self): now = datetime.datetime.now() return now.strftime("%Y-%m-%d %H:%M:%S") def print_epoch_start(self, epoch, max_epoch): print("\n{}{} > EPOCH: {}/{}{}".format(tcolors.UNDERLINE, tcolors.BOLD, epoch, max_epoch, tcolors.ENDC), flush=True) def print_train_start(self): print(f"\n{tcolors.BOLD} > TRAINING ({self.get_time()}) {tcolors.ENDC}") def print_train_step(self, batch_steps, step, global_step, log_dict, loss_dict, avg_loss_dict): indent = " | > " print() log_text = "{} --> STEP: {}/{} -- GLOBAL_STEP: {}{}\n".format( tcolors.BOLD, step, batch_steps, global_step, tcolors.ENDC) for key, value in loss_dict.items(): # print the avg value if given if f'avg_{key}' in avg_loss_dict.keys(): log_text += "{}{}: {:.5f} ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}']) else: log_text += "{}{}: {:.5f} \n".format(indent, key, value) for idx, (key, value) in enumerate(log_dict.items()): if isinstance(value, list): log_text += f"{indent}{key}: {value[0]:.{value[1]}f}" else: log_text += f"{indent}{key}: {value}" if idx < len(log_dict)-1: log_text += "\n" print(log_text, flush=True) # pylint: disable=unused-argument def print_train_epoch_end(self, global_step, epoch, epoch_time, print_dict): indent = " | > " log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch_time:.2f} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n" for key, value in print_dict.items(): log_text += "{}{}: {:.5f}\n".format(indent, key, value) print(log_text, flush=True) def print_eval_start(self): print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}\n") def print_eval_step(self, step, loss_dict, avg_loss_dict): indent = " | > " print() log_text = f"{tcolors.BOLD} --> STEP: {step}{tcolors.ENDC}\n" for key, value in loss_dict.items(): # print the avg value if given if f'avg_{key}' in avg_loss_dict.keys(): log_text += "{}{}: {:.5f} ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}']) else: log_text += "{}{}: {:.5f} \n".format(indent, key, value) print(log_text, flush=True) def print_epoch_end(self, epoch, avg_loss_dict): indent = " | > " log_text = " {}--> EVAL PERFORMANCE{}\n".format( tcolors.BOLD, tcolors.ENDC) for key, value in avg_loss_dict.items(): # print the avg value if given color = '' sign = '+' diff = 0 if self.old_eval_loss_dict is not None and key in self.old_eval_loss_dict: diff = value - self.old_eval_loss_dict[key] if diff < 0: color = tcolors.OKGREEN sign = '' elif diff > 0: color = tcolors.FAIL sign = '+' log_text += "{}{}:{} {:.5f} {}({}{:.5f})\n".format(indent, key, color, value, tcolors.ENDC, sign, diff) self.old_eval_loss_dict = avg_loss_dict print(log_text, flush=True)