r = functional_ops.map_fn(double_scoped, elems)# Check that we have the one variable we asked for here.self.assertEqual(len(variables.trainable_variables()),1) self.assertEqual(variables.trainable_variables()[0].name,"root/body/two:0") sess.run([variables.global_variables_initializer()...
self.assertIsInstance(train_ops, namedtuples.GANTrainOps)# No new trainable variables should have been added.self.assertLen(variables_lib.get_trainable_variables(), num_trainable_vars)# Sync hooks should be populated in the GANTrainOps.self.assertLen(train_ops.train_hooks,...
本文搜集整理了关于python中tensorflow trainable_variables方法/函数的使用示例。 Namespace/Package: tensorflow Method/Function: trainable_variables 导入包: tensorflow 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 def __init__(self,learning_rate, cost,feed,sess,m,comm,size,...
self.reset()# Parameters for updating target network.tau =0.001#TODO:Update to support player_id > 2.#NOTE:This is a bit of a hack to update the variables in the target# network. It can be fixed by using scope and Tensorflow 1.4 which takes# a scope argument in tf.trainable_variables...