number of inputs! See more details in the opt_einsum
     documentation (https://optimized-
     einsum.readthedocs.io/en/stable/path_finding.html).
Note:
 As of PyTorch 1.10 "torch.einsum()" also supports the sublist
 format (see examples below). In this format, subscripts for each
 operand are specified by sublists, list of integers in the range
 [0, 52). These sublists follow their operands, and an extra
 sublist can appear at the end of the input to specify the
 output's subscripts., e.g. *torch.einsum(op1, sublist1, op2,
 sublist2, ..., [subslist_out])*. Python's *Ellipsis* object may
 be provided in a sublist to enable broadcasting as described in
 the Equation section above.

Parameters:
      * equation (str) -- The subscripts for the Einstein
        summation.
  * **operands** (*List**[**Tensor**]*) -- The tensors to compute
    the Einstein summation of.

Return type:
      Tensor
Examples:
  >>> # trace
