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Python Reshape.inverse_log_det_jacobian方法代碼示例

本文整理匯總了Python中tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape.inverse_log_det_jacobian方法的典型用法代碼示例。如果您正苦於以下問題:Python Reshape.inverse_log_det_jacobian方法的具體用法?Python Reshape.inverse_log_det_jacobian怎麽用?Python Reshape.inverse_log_det_jacobian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tensorflow.contrib.distributions.python.ops.bijectors.reshape.Reshape的用法示例。


在下文中一共展示了Reshape.inverse_log_det_jacobian方法的1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: testBijector

# 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 inverse_log_det_jacobian [as 別名]
  def testBijector(self):
    """Do a basic sanity check of forward, inverse, jacobian."""
    expected_x = np.random.randn(4, 3, 2)
    expected_y = np.reshape(expected_x, [4, 6])

    with self.cached_session() as sess:
      shape_in, shape_out, feed_dict = self.build_shapes([3, 2], [6,])
      bijector = Reshape(
          event_shape_out=shape_out,
          event_shape_in=shape_in,
          validate_args=True)
      (x_,
       y_,
       fldj_,
       ildj_) = sess.run((
           bijector.inverse(expected_y),
           bijector.forward(expected_x),
           bijector.forward_log_det_jacobian(expected_x, event_ndims=2),
           bijector.inverse_log_det_jacobian(expected_y, event_ndims=2),
       ), feed_dict=feed_dict)
      self.assertEqual("reshape", bijector.name)
      self.assertAllClose(expected_y, y_, rtol=1e-6, atol=0)
      self.assertAllClose(expected_x, x_, rtol=1e-6, atol=0)
      self.assertAllClose(0., fldj_, rtol=1e-6, atol=0)
      self.assertAllClose(0., ildj_, rtol=1e-6, atol=0)
開發者ID:Ajaycs99,項目名稱:tensorflow,代碼行數:27,代碼來源:reshape_test.py


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