parameters: (x: Tensor)
return_statement: return x ** 0.5
docstring: r"""Element-wise `sqrt`.
  
      Examples:
  
          .. testcode::
  
              import numpy as np
              from megengine import tensor
              import megengine.functional as F
  
              x = tensor(np.arange(0, 6, dtype=np.float32).reshape(2, 3))
              out = F.sqrt(x)
              print(out.numpy().round(decimals=4))
  
          Outputs:
  
          .. testoutput::
  
              [[0.     1.     1.4142]
               [1.7321 2.     2.2361]]
docstring_summary: r"""Element-wise `sqrt`.
docstring_tokens: r Element - wise sqrt .
function: def sqrt(x: Tensor) -> Tensor:
      r"""Element-wise `sqrt`.
  
      Examples:
  
          .. testcode::
  
              import numpy as np
              from megengine import tensor
              import megengine.functional as F
  
              x = tensor(np.arange(0, 6, dtype=np.float32).reshape(2, 3))
              out = F.sqrt(x)
              print(out.numpy().round(decimals=4))
  
          Outputs:
  
          .. testoutput::
  
              [[0.     1.     1.4142]
               [1.7321 2.     2.2361]]
      """
      return x ** 0.5
function_tokens: def sqrt ( x : Tensor ) -> Tensor : return x ** 0.5