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@ -667,7 +667,9 @@ class Predict(GNet):
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fake = self.generator.network(inputs=z, label=label)
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fake = self.generator.network(inputs=z, label=label)
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init = tf.compat.v1.global_variables_initializer()
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init = tf.compat.v1.global_variables_initializer()
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saver = tf.compat.v1.train.Saver()
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print ([self.CHECKPOINTS])
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# saver = tf.compat.v1.train.Saver()
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saver = tf.compat.v1.train.Saver(max_to_keep=len(self.CHECKPOINTS))
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df = pd.DataFrame()
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df = pd.DataFrame()
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CANDIDATE_COUNT = args['candidates'] if 'candidates' in args else 1 #0 if self.ROW_COUNT < 1000 else 100
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CANDIDATE_COUNT = args['candidates'] if 'candidates' in args else 1 #0 if self.ROW_COUNT < 1000 else 100
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candidates = []
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candidates = []
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Steve Nyemba
2 years ago