Python源码示例：inception.slim.losses.cross_entropy_loss()
示例1
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例2
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例3
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例4
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例5
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例6
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例7
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例8
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例9
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例10
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例11
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例12
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例13
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例14
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例15
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例16
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例17
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例18
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例19
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例20
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例21
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例22
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例23
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例24
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例25
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例26
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例27
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
示例28
def testCrossEntropyLossAllCorrect(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 0.0, 3)
示例29
def testCrossEntropyLossAllWrong(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 10.0, 3)
示例30
def testCrossEntropyLossAllWrongWithWeight(self):
with self.test_session():
logits = tf.constant([[10.0, 0.0, 0.0],
[0.0, 10.0, 0.0],
[0.0, 0.0, 10.0]])
labels = tf.constant([[0, 0, 1],
[1, 0, 0],
[0, 1, 0]])
loss = losses.cross_entropy_loss(logits, labels, weight=0.5)
self.assertEquals(loss.op.name, 'CrossEntropyLoss/value')
self.assertAlmostEqual(loss.eval(), 5.0, 3)
