RuntimeError: InnerRun:torch_npu/csrc/framework/OpParamMaker.cpp:208 NPU error, error code is 500002

一、问题现象（附报错日志上下文）：

```
/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch_npu/dynamo/__init__.py:18: UserWarning: Register eager implementation for the 'npu' backend of dynamo, as torch_npu was not compiled with torchair.
  warnings.warn(
Traceback (most recent call last):
  File "/home/HwHiAiUser/work/ai-910/test/npu_rms_norm_test.py", line 6, in <module>
    out1 = torch_npu.npu_rms_norm(x, w, epsilon=1e-5)[0]
  File "/home/anaconda3/envs/sakura/lib/python3.9/site-packages/torch/_ops.py", line 692, in __call__
    return self._op(*args, **kwargs or {})
RuntimeError: InnerRun:torch_npu/csrc/framework/OpParamMaker.cpp:208 NPU error, error code is 500002
[Error]: A GE error occurs in the system.
        Rectify the fault based on the error information in the ascend log.
EZ3003: No supported Ops kernel and engine are found for [RmsNorm1], optype [RmsNorm].
        Possible Cause: The operator is not supported by the system. Therefore, no hit is found in any operator information library.
        Solution: 1. Check that the OPP component is installed properly. 2. Submit an issue to request for the support of this operator type.
        TraceBack (most recent call last):
        build graph failed, graph id:0, ret:-1[FUNC:BuildModelWithGraphId][FILE:ge_generator.cc][LINE:1615]
        [Build][SingleOpModel]call ge interface generator.BuildSingleOpModel failed. ge result = 4294967295[FUNC:ReportCallError][FILE:log_inner.cpp][LINE:161]
        [Build][Op]Fail to build op model[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145]
        build op model failed, result = 500002[FUNC:ReportInnerError][FILE:log_inner.cpp][LINE:145]
```

二、软件版本:
-- CANN 版本 (e.g., CANN 3.0.x，5.x.x):  7.0.0
--Pytorch 版本:2.1.0
--Python 版本 (e.g., Python 3.7.5):3.9.2
-- MindStudio版本 (e.g., MindStudio 2.0.0 (beta3)):无
--操作系统版本 (e.g., Ubuntu 18.04):oe2203

三、测试步骤：

```
import torch
import torch_npu
x = torch.randn(24, 1, 128).bfloat16().npu()
w = torch.randn(128).bfloat16().npu()

out1 = torch_npu.npu_rms_norm(x, w, epsilon=1e-5)[0]
print(out1)
```

Ascend/pytorch
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