本文整理汇总了Python中dsn.create_model方法的典型用法代码示例。如果您正苦于以下问题：Python dsn.create_model方法的具体用法？Python dsn.create_model怎么用？Python dsn.create_model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.create_model方法的7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: testBuildModelDann
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelDann(self):
images, labels, params = self._testBuildDefaultModel()
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'dann_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 6) 示例2: testBuildModelDannSumOfPairwiseSquares
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelDannSumOfPairwiseSquares(self):
images, labels, params = self._testBuildDefaultModel()
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'dann_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 6) 示例3: testBuildModelDannMultiPSTasks
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelDannMultiPSTasks(self):
images, labels, params = self._testBuildDefaultModel()
params['ps_tasks'] = 10
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'dann_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 6) 示例4: testBuildModelMmd
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelMmd(self):
images, labels, params = self._testBuildDefaultModel()
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'mmd_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 6) 示例5: testBuildModelCorr
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelCorr(self):
images, labels, params = self._testBuildDefaultModel()
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'correlation_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 6) 示例6: testBuildModelNoAdaptationWeightDecay
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelNoAdaptationWeightDecay(self):
images, labels, params = self._testBuildDefaultModel()
params['use_separation'] = False
params['weight_decay'] = 1e-5
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels, 'none',
params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 1)
self.assertTrue(len(tf.contrib.losses.get_regularization_losses()) >= 1) 示例7: testBuildModelNoSeparation
# 需要导入模块: import dsn [as 别名]
# 或者: from dsn import create_model [as 别名]
def testBuildModelNoSeparation(self):
images, labels, params = self._testBuildDefaultModel()
params['use_separation'] = False
with self.test_session():
dsn.create_model(images, labels,
tf.cast(tf.ones([32,]), tf.bool), images, labels,
'dann_loss', params, 'dann_mnist')
loss_tensors = tf.contrib.losses.get_losses()
self.assertEqual(len(loss_tensors), 2)