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