本文整理汇总了Python中dsn.dsn_loss_coefficient方法的典型用法代码示例。如果您正苦于以下问题：Python dsn.dsn_loss_coefficient方法的具体用法？Python dsn.dsn_loss_coefficient怎么用？Python dsn.dsn_loss_coefficient使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类dsn的用法示例。
在下文中一共展示了dsn.dsn_loss_coefficient方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testBasicDomainSeparationStartPoint
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import dsn_loss_coefficient [as 别名]
def testBasicDomainSeparationStartPoint(self):
with self.test_session() as sess:
# Test for when global_step < domain_separation_startpoint
step = tf.contrib.slim.get_or_create_global_step()
sess.run(tf.global_variables_initializer()) # global_step = 0
params = {'domain_separation_startpoint': 2}
weight = dsn.dsn_loss_coefficient(params)
weight_np = sess.run(weight)
self.assertAlmostEqual(weight_np, 1e-10)
step_op = tf.assign_add(step, 1)
step_np = sess.run(step_op) # global_step = 1
weight = dsn.dsn_loss_coefficient(params)
weight_np = sess.run(weight)
self.assertAlmostEqual(weight_np, 1e-10)
# Test for when global_step >= domain_separation_startpoint
step_np = sess.run(step_op) # global_step = 2
tf.logging.info(step_np)
weight = dsn.dsn_loss_coefficient(params)
weight_np = sess.run(weight)
self.assertAlmostEqual(weight_np, 1.0)