parameters: (inputs, **kwargs)
return_statement: return output
docstring: Rectified Linear Unit function, introduces by `[Nair & Hinton, 2010] <http://www.csri.utoronto.ca/~hinton/absps/reluICML.pdf>`_.
  
      Parameters
      ----------
      inputs : Tensor
          The input tensor.
  
      Returns
      -------
      Tensor
          The output tensor, calculated as: |relu_function|.
docstring_summary: Rectified Linear Unit function, introduces by `[Nair & Hinton, 2010] <http://www.csri.utoronto.ca/~hinton/absps/reluICML.pdf>`_.
docstring_tokens: Rectified Linear Unit function introduces by [ Nair & Hinton 2010 ] <http : // www . csri . utoronto . ca / ~hinton / absps / reluICML . pdf > _ .
function: def Relu(inputs, **kwargs):
      """Rectified Linear Unit function, introduces by `[Nair & Hinton, 2010] <http://www.csri.utoronto.ca/~hinton/absps/reluICML.pdf>`_.
  
      Parameters
      ----------
      inputs : Tensor
          The input tensor.
  
      Returns
      -------
      Tensor
          The output tensor, calculated as: |relu_function|.
  
      """
      CheckInputs(inputs, 1)
      arguments = ParseArguments(locals())
  
      output = Tensor.CreateOperator(nout=1, op_type='Relu', **arguments)
  
      if inputs.shape is not None:
          output.shape = inputs.shape[:]
  
      return output
function_tokens: def Relu ( inputs , * * kwargs ) : CheckInputs ( inputs , 1 ) arguments = ParseArguments ( locals ( ) ) output = Tensor . CreateOperator ( nout = 1 , op_type = 'Relu' , * * arguments ) if inputs . shape is not None : output . shape = inputs . shape [ : ] return output