def model_initilization(self, cfg):
############################################################################################################################################
def initialization():
var_list = tf.global_variables()
for var in var_list:
self.sess.run(tf.variables_initializer([var]), feed_dict={self.z: self.sample_z[:cfg.iBatchSize], self.images_lab: self.sample_images[:cfg.iBatchSize], self.fInputNoise: cfg.fInputNoise})
print(var.op.name)
#self.sess.run(tf.initialize_all_tables(), feed_dict={self.z: self.sample_z[:cfg.iBatchSize], self.images_lab: self.sample_images[:cfg.iBatchSize], self.fInputNoise: cfg.fInputNoiseBiG})
print('optimizor initialization')
if cfg.bLoadCheckpoint:
if self.load(cfg):
print(" [*] Load SUCCESS")
else:
print(" [!] Load failed...")
initialization()
else:
initialization()
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