update training data encountered when using force_start_step
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@ -165,6 +165,7 @@ class Trainer:
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self.start_epoch = 0
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if 'force_start_step' in opt.keys():
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self.current_step = opt['force_start_step']
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self.total_training_data_encountered = self.current_step * opt['datasets']['train']['batch_size']
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opt['current_step'] = self.current_step
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def do_step(self, train_data):
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@ -318,7 +319,7 @@ class Trainer:
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../experiments/train_autoregressive_codegen.yml')
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_clip_text_to_voice.yml')
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
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args = parser.parse_args()
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opt = option.parse(args.opt, is_train=True)
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