original_docstring: 
      Returns a new tensor with the inverse cosine of the elements of :attr:`input`.
  
      .. math::
          \\text{out}_{i} = \\arccos(\\text{input}_{i})
  
      Args:
          input (Tensor): the input tensor.
  
      For example:
  
      .. code-block:: python
  
          >>> import oneflow as flow
          >>> import numpy as np
  
          >>> arr = np.array([0.5, 0.6, 0.7])
          >>> input = flow.tensor(arr, dtype=flow.float32)
          >>> output = flow.acos(input)
          >>> output
          tensor([1.0472, 0.9273, 0.7954], dtype=oneflow.float32)
  
      
docstring: Returns a new tensor with the inverse cosine of the elements of :attr:`input`.
docstring_tokens: Returns a new tensor with the inverse cosine of the elements of : attr : ` input ` .
code: def acos_op(input):
      """
      Returns a new tensor with the inverse cosine of the elements of :attr:`input`.
  
      .. math::
          \\text{out}_{i} = \\arccos(\\text{input}_{i})
  
      Args:
          input (Tensor): the input tensor.
  
      For example:
  
      .. code-block:: python
  
          >>> import oneflow as flow
          >>> import numpy as np
  
          >>> arr = np.array([0.5, 0.6, 0.7])
          >>> input = flow.tensor(arr, dtype=flow.float32)
          >>> output = flow.acos(input)
          >>> output
          tensor([1.0472, 0.9273, 0.7954], dtype=oneflow.float32)
  
      """
      return flow._C.acos(input)
code_tokens: def acos_op ( input ) : return flow . _C . acos ( input )
short_docstring: Returns a new tensor with the inverse cosine of the elements of :attr:`input`.
short_docstring_tokens: Returns a new tensor with the inverse cosine of the elements of : attr : ` input ` .
comment: """
      Returns a new tensor with the inverse cosine of the elements of :attr:`input`.
  
      .. math::
          \\text{out}_{i} = \\arccos(\\text{input}_{i})
  
      Args:
          input (Tensor): the input tensor.
  
      For example:
  
      .. code-block:: python
  
          >>> import oneflow as flow
          >>> import numpy as np
  
          >>> arr = np.array([0.5, 0.6, 0.7])
          >>> input = flow.tensor(arr, dtype=flow.float32)
          >>> output = flow.acos(input)
          >>> output
          tensor([1.0472, 0.9273, 0.7954], dtype=oneflow.float32)
  
      """