本文整理汇总了Python中tensorflow.python.debug.stepper.NodeStepper.get_tensor_value方法的典型用法代码示例。如果您正苦于以下问题：Python NodeStepper.get_tensor_value方法的具体用法？Python NodeStepper.get_tensor_value怎么用？Python NodeStepper.get_tensor_value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tensorflow.python.debug.stepper.NodeStepper的用法示例。
在下文中一共展示了NodeStepper.get_tensor_value方法的3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: testUsingNodesNotUsingIntermediateTensors
# 需要导入模块: from tensorflow.python.debug.stepper import NodeStepper [as 别名]
# 或者: from tensorflow.python.debug.stepper.NodeStepper import get_tensor_value [as 别名]
def testUsingNodesNotUsingIntermediateTensors(self):
stepper = NodeStepper(self.sess, self.e)
# There should be no handles before any cont() calls.
self.assertEqual([], stepper.handle_names())
# Before the cont() call, the stepper should not have access to the value
# of c:0.
with self.assertRaisesRegexp(
ValueError,
"This stepper instance does not have access to the value of tensor "
"\"c:0\""):
stepper.get_tensor_value("c:0")
# Using the node/tensor itself, instead of the name str, should work on
# cont().
result = stepper.cont(self.c)
self.assertAllClose(6.0, result)
self.assertEqual({}, stepper.last_feed_types())
self.assertEqual(["c:0"], stepper.handle_names())
# After the cont() call, the stepper should have access to the value of c:0
# via a tensor handle.
self.assertAllClose(6.0, stepper.get_tensor_value("c:0"))
result = stepper.cont(self.e)
self.assertAllClose(24.0, result)
self.assertEqual({
"c:0": NodeStepper.FEED_TYPE_HANDLE
}, stepper.last_feed_types())示例2: testGetTensorValueWorksOnPlaceholder
# 需要导入模块: from tensorflow.python.debug.stepper import NodeStepper [as 别名]
# 或者: from tensorflow.python.debug.stepper.NodeStepper import get_tensor_value [as 别名]
def testGetTensorValueWorksOnPlaceholder(self):
stepper = NodeStepper(
self.sess,
self.y,
feed_dict={
self.ph0: [[1.0, 2.0], [-3.0, 5.0]],
self.ph1: [[-1.0], [0.5]]
})
self.assertAllClose([[1.0, 2.0], [-3.0, 5.0]],
stepper.get_tensor_value("ph0"))
self.assertAllClose([[1.0, 2.0], [-3.0, 5.0]],
stepper.get_tensor_value("ph0:0"))
with self.assertRaisesRegexp(
KeyError, r"The name 'ph0:1' refers to a Tensor which does not exist"):
stepper.get_tensor_value("ph0:1")示例3: testOverrideValue
# 需要导入模块: from tensorflow.python.debug.stepper import NodeStepper [as 别名]
# 或者: from tensorflow.python.debug.stepper.NodeStepper import get_tensor_value [as 别名]
def testOverrideValue(self):
stepper = NodeStepper(self.sess, self.e)
result = stepper.cont(self.c)
self.assertAllClose(6.0, result)
self.assertEqual({}, stepper.last_feed_types())
# There should be no overrides before any cont() calls.
self.assertEqual([], stepper.override_names())
# Calling cont() on c again should lead to use of the handle.
result = stepper.cont(self.c)
self.assertAllClose(6.0, result)
self.assertEqual({
"c:0": NodeStepper.FEED_TYPE_HANDLE
}, stepper.last_feed_types())
# Override c:0.
stepper.override_tensor("c:0", 7.0)
# After the overriding, calling get_tensor_value() on c:0 should yield the
# overriding value.
self.assertEqual(7.0, stepper.get_tensor_value("c:0"))
# Now c:0 should have only an override value, but no cached handle, because
# the handle should have been invalidated.
self.assertEqual([], stepper.handle_names())
self.assertSetEqual(set(), stepper.handle_node_names())
self.assertEqual(["c:0"], stepper.override_names())
# Run a downstream tensor after the value override.
result = stepper.cont(self.e)
self.assertAllClose(28.0, result) # Should reflect the overriding value.
# Should use override, instead of the handle.
self.assertEqual({
"c:0": NodeStepper.FEED_TYPE_OVERRIDE
}, stepper.last_feed_types())