parameters: (self, name="batch_shape")
docstring: Batch dimensions of this instance as a 1-D int32 `Tensor`.
  
      The product of the dimensions of the `batch_shape` is the number of
      independent distributions of this kind the instance represents.
  
      Args:
        name: name to give to the op.
  
      Returns:
        `Tensor` `batch_shape`
docstring_summary: Batch dimensions of this instance as a 1-D int32 `Tensor`.
docstring_tokens: Batch dimensions of this instance as a 1 - D int32 Tensor .
function: def batch_shape(self, name="batch_shape"):
      """Batch dimensions of this instance as a 1-D int32 `Tensor`.
  
      The product of the dimensions of the `batch_shape` is the number of
      independent distributions of this kind the instance represents.
  
      Args:
        name: name to give to the op.
  
      Returns:
        `Tensor` `batch_shape`
      """
      with ops.name_scope(self.name):
        with ops.op_scope([], name):
          return array_ops.shape(self._ones())
function_tokens: def batch_shape ( self , name = "batch_shape" ) : with ops . name_scope ( self . name ) : with ops . op_scope ( [ ] , name ) : return array_ops . shape ( self . _ones ( ) )