parameters: (shape, dtype=None)
return_statement: return output
docstring: Initialize a tensor with zeros.
  
      If dtype is ``None``, use ``config.floatX``.
  
      Parameters
      ----------
      shape : tuple or list
          The shape of Tensor.
      dtype : str or None
          The data type of Tensor.
  
      Returns
      -------
      Tensor
          The initialized tensor.
docstring_summary: Initialize a tensor with zeros.
docstring_tokens: Initialize a tensor with zeros .
function: def zeros(shape, dtype=None):
      """Initialize a tensor with zeros.
  
      If dtype is ``None``, use ``config.floatX``.
  
      Parameters
      ----------
      shape : tuple or list
          The shape of Tensor.
      dtype : str or None
          The data type of Tensor.
  
      Returns
      -------
      Tensor
          The initialized tensor.
  
      """
      if dtype is None: dtype = config.floatX
      else:
          if dtype not in _DATA_TYPES.keys():
              raise TypeError("Unsupported data type: {}".format(dtype))
      np_value = np.zeros(shape, dtype=_DATA_TYPES[dtype])
      output = Tensor(shape=shape, dtype=dtype)
      output.set_value(np_value)
      return output
function_tokens: def zeros ( shape , dtype = None ) : if dtype is None : dtype = config . floatX else : if dtype not in _DATA_TYPES . keys ( ) : raise TypeError ( "Unsupported data type: {}" . format ( dtype ) ) np_value = np . zeros ( shape , dtype = _DATA_TYPES [ dtype ] ) output = Tensor ( shape = shape , dtype = dtype ) output . set_value ( np_value ) return output