52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
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#!/usr/bin/python
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# -*- coding: utf-8 -*-
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#####################################
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# File name : train_graph.py
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# Create date : 2019-02-01 17:22
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# Modified date : 2019-02-19 13:06
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# Author : DARREN
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# Describe : not set
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# Email : lzygzh@126.com
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#####################################
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from __future__ import division
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from __future__ import print_function
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import time
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import status
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from graph import RNNGraph
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class TrainRNNGraph(RNNGraph):
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def __init__(self, data_dict, config):
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super(TrainRNNGraph, self).__init__(data_dict, config)
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def eval_a_epoch(self):
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loss, acc, corrects = self._eval_a_epoch()
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def train_a_epoch(self):
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loss, acc, corrects = self._train_a_epoch()
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def _run_a_epoch(self, epoch):
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status.update_epoch(epoch, self.status_dict)
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start = time.time()
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self.train_a_epoch()
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self.eval_a_epoch()
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end = time.time()
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status.update_elapsed_time(start, end, self.status_dict)
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status.save_epoch_status(self.status_dict, self.config)
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self._save_trained_model()
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def train_the_model(self):
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self._create_output()
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epoch = self.status_dict["epoch"]
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while True:
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if not self.check_epoch_stop():
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self._run_a_epoch(epoch)
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epoch += 1
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else:
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break
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self.show_the_value()
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return self.graph_dict["model"]
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