本文整理匯總了Python中tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape.forward_event_shape_tensor方法的典型用法代碼示例。如果您正苦於以下問題：Python Reshape.forward_event_shape_tensor方法的具體用法？Python Reshape.forward_event_shape_tensor怎麽用？Python Reshape.forward_event_shape_tensor使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape的用法示例。
在下文中一共展示了Reshape.forward_event_shape_tensor方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testMultipleUnspecifiedDimensionsOpError
# 需要導入模塊: from tensorflow.contrib.distributions.python.ops.bijectors.reshape import Reshape [as 別名]
# 或者: from tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape import forward_event_shape_tensor [as 別名]
def testMultipleUnspecifiedDimensionsOpError(self):
with self.cached_session() as sess:
shape_in, shape_out, feed_dict = self.build_shapes([2, 3], [4, -1, -1,])
bijector = Reshape(
event_shape_out=shape_out,
event_shape_in=shape_in,
validate_args=True)
with self.assertRaisesError(
"elements must have at most one `-1`."):
sess.run(bijector.forward_event_shape_tensor(shape_in),
feed_dict=feed_dict)示例2: _testInvalidDimensionsOpError
# 需要導入模塊: from tensorflow.contrib.distributions.python.ops.bijectors.reshape import Reshape [as 別名]
# 或者: from tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape import forward_event_shape_tensor [as 別名]
def _testInvalidDimensionsOpError(self, expected_error_message):
with self.cached_session() as sess:
shape_in, shape_out, feed_dict = self.build_shapes([2, 3], [1, 2, -2,])
bijector = Reshape(
event_shape_out=shape_out,
event_shape_in=shape_in,
validate_args=True)
with self.assertRaisesError(expected_error_message):
sess.run(bijector.forward_event_shape_tensor(shape_in),
feed_dict=feed_dict)示例3: testInvalidDimensionsOpError
# 需要導入模塊: from tensorflow.contrib.distributions.python.ops.bijectors.reshape import Reshape [as 別名]
# 或者: from tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape import forward_event_shape_tensor [as 別名]
def testInvalidDimensionsOpError(self):
with self.test_session() as sess:
shape_in, shape_out, feed_dict = self.build_shapes([2, 3], [1, 2, -2,])
bijector = Reshape(
event_shape_out=shape_out,
event_shape_in=shape_in,
validate_args=True)
with self.assertRaisesError(
"elements must be either positive integers or `-1`."):
sess.run(bijector.forward_event_shape_tensor(shape_in),
feed_dict=feed_dict)示例4: testEventShapeTensor
# 需要導入模塊: from tensorflow.contrib.distributions.python.ops.bijectors.reshape import Reshape [as 別名]
# 或者: from tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape import forward_event_shape_tensor [as 別名]
def testEventShapeTensor(self):
"""Test event_shape_tensor methods when even ndims may be dynamic."""
shape_in_static = [2, 3]
shape_out_static = [6,]
shape_in, shape_out, feed_dict = self.build_shapes(shape_in_static,
shape_out_static)
bijector = Reshape(
event_shape_out=shape_out,
event_shape_in=shape_in, validate_args=True)
# using the _tensor methods, we should always get a fully-specified
# result since these are evaluated at graph runtime.
with self.cached_session() as sess:
(shape_out_,
shape_in_) = sess.run((
bijector.forward_event_shape_tensor(shape_in),
bijector.inverse_event_shape_tensor(shape_out),
), feed_dict=feed_dict)
self.assertAllEqual(shape_out_static, shape_out_)
self.assertAllEqual(shape_in_static, shape_in_)