text: """
  Copyright 2020 The OneFlow Authors. All rights reserved.
  
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
  
      http://www.apache.org/licenses/LICENSE-2.0
  
  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.
  """
  from oneflow.compatible import single_client as flow
  from oneflow.compatible.single_client.framework.tensor import register_tensor_op
  from oneflow.compatible.single_client.nn.module import Module
  
  
  class Exp(Module):
      def __init__(self) -> None:
          super().__init__()
  
      def forward(self, x):
          return flow.F.exp(x)
  
  
  @register_tensor_op("exp")
  def exp_op(x):
      """This operator computes the exponential of Tensor.
  
      The equation is:
  
      .. math::
  
          out = e^x
  
      Args:
          x (oneflow.compatible.single_client.Tensor): A Tensor
  
      Returns:
          oneflow.compatible.single_client.Tensor: The result Tensor
  
      For example:
  
      .. code-block:: python
  
          >>> import numpy as np
          >>> import oneflow.compatible.single_client.experimental as flow
          >>> flow.enable_eager_execution()
  
          >>> x = flow.Tensor(np.array([1, 2, 3]).astype(np.float32))
          >>> y = x.exp()
          >>> y
          tensor([ 2.7183,  7.3891, 20.0855], dtype=oneflow.float32)
  
      """
      return Exp()(x)
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod(raise_on_error=True)
  