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@ -80,10 +80,13 @@ def train(args_opt, config):
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keep_checkpoint_max=config.KEEP_CKPT_MAX_NUM)
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ckpoint_cb = ModelCheckpoint(prefix="CNNCTC", config=config_ck, directory=config.SAVE_PATH)
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if args_opt.device_id == 0:
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model.train(config.TRAIN_EPOCHS, ds, callbacks=[callback, ckpoint_cb], dataset_sink_mode=False)
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if args_opt.run_distribute:
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if args_opt.device_id == 0:
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model.train(config.TRAIN_EPOCHS, ds, callbacks=[callback, ckpoint_cb], dataset_sink_mode=False)
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else:
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model.train(config.TRAIN_EPOCHS, ds, callbacks=[callback], dataset_sink_mode=False)
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else:
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model.train(config.TRAIN_EPOCHS, ds, callbacks=[callback], dataset_sink_mode=False)
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model.train(config.TRAIN_EPOCHS, ds, callbacks=[callback, ckpoint_cb], dataset_sink_mode=False)
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if __name__ == '__main__':
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