[dicp][ascend] infer op resinfo (part 2) (DeepLink-org#491)

* fix a bug in get_cast_dtype: type(int+bool) should be int

* clean code format

* finish res_op_infer for more simple operators

* Update operator.py

delete some unnecessary print()

* Update operator.py

clean code

* finish operators' info inference except for those having trouble testing solely without inference and operators involving Reshape still have problems

* clean code format

* Update warning message output in operator.py

* extract common function for general binary and unary operator ,add op bmm's inference

* Update ascend_op.py

delete unuse param

dicp/dicp/dynamo_bridge/operator.py

@@ -89,19 +89,14 @@ def make_cpu(x):
         with fake_mode:
             try:
                 if hasattr(self, "infer_result"):
-                    info: TensorInfo = self.infer_result(*new_args, **kwargs)
-                    return torch.empty(
-                        info.shape, dtype=info.dtype, memory_format=info.memory_format
-                    )
+                    return self.infer_result(*new_args, **kwargs)
                 elif hasattr(self, "torch_op"):
                     return self.torch_op(*new_args, **kwargs)
             except Exception as e:
-                print("torch_op: ", self.torch_op if hasattr(self, "torch_op") else "")
-                print(new_args, kwargs)
-                print(e.args)
-                print(traceback.format_exc())
                 log = logging.getLogger(__name__)
                 if hasattr(self, "infer_result"):
-                    log.warning("infer shape and dtype failed")
+                    log.warning(
+                        str(self.__name__) + ": infer shape and dtype failed,ignore"
+                    )
                 elif hasattr(self, "torch_op"):
-                    log.warning("torch_op error")
+                    log.warning("torch_op error: " + str(self.torch_op.__name__))