完善脚本功能，添加计时估计

benchmark_contract_sliced.py

@@ -31,13 +31,13 @@ else:
     tree = None
 tree = comm.bcast(tree, root=0)
 
-arrays = [torch.from_numpy(np.ascontiguousarray(t._data, dtype=np.complex128)) for t in tn.tensors]
+arrays = [torch.from_numpy(np.asarray(t._data)) for t in tn.tensors]
 n_slices = tree.multiplicity
 
 if rank == 0:
     print(f"Slices: {n_slices}, Ranks: {size}, "
           f"Peak: {tree.max_size() * 16 / 1e9:.2f} GB, "
-          f"Threads/rank: {max(1, NCORES // size)}, Backend: torch")
+          f"Threads/rank: {NCORES}, Backend: torch")
 
 t0 = time.time()
 result = None