CANN训练营：AclNNInvocation样例报错 error code is 361001

一、问题现象（附报错日志上下文）：
AclNNInvocation样例报错 error code is 361001

二、软件版本:
-- CANN 版本 (e.g., CANN 3.0.x，5.x.x):  
A300-3010-npu-driver_23.0.0_linux-x86_64.run
Ascend-cann-nnrt_8.0.RC2.alpha002_linux-x86_64.run
Ascend-cann-toolkit_8.0.RC2.alpha002_linux-x86_64.run
--操作系统版本 (e.g., Ubuntu 18.04):
Ubuntu 18
![云配置](https://foruda.gitee.com/images/1718376127233317955/f1087742_11184062.png "屏幕截图")
--驱动 `npu-smi info`
```
+--------------------------------------------------------------------------------------------------------+
| npu-smi 23.0.0                                   Version: 23.0.0                                       |
+-------------------------------+-----------------+------------------------------------------------------+
| NPU     Name                  | Health          | Power(W)     Temp(C)           Hugepages-Usage(page) |
| Chip    Device                | Bus-Id          | AICore(%)    Memory-Usage(MB)                        |
+===============================+=================+======================================================+
| 104     310                   | OK              | 12.8         43                0     / 969           |
| 0       0                     | 0000:00:0D.0    | 0            623  / 7759                             |
+===============================+=================+======================================================+
+-------------------------------+-----------------+------------------------------------------------------+
| NPU     Chip                  | Process id      | Process name             | Process memory(MB)        |
+===============================+=================+======================================================+
| No running processes found in NPU 104                                                                  |
+===============================+=================+======================================================+
```
--其他
cmake版本过低，重装了cmake-3.30.0-rc2-linux-x86_64.sh
pip用的清华源，用 `-i https://pypi.tuna.tsinghua.edu.cn/simple` 方式临时安装
apt用的清华源
```
# 默认注释了源码镜像以提高 apt update 速度，如有需要可自行取消注释
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic main restricted universe multiverse
# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic main restricted universe multiverse
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-updates main restricted universe multiverse
# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-updates main restricted universe multiverse
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-backports main restricted universe multiverse
# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-backports main restricted universe multiverse

# 以下安全更新软件源包含了官方源与镜像站配置，如有需要可自行修改注释切换
deb http://security.ubuntu.com/ubuntu/ bionic-security main restricted universe multiverse
# deb-src http://security.ubuntu.com/ubuntu/ bionic-security main restricted universe multiverse

# 预发布软件源，不建议启用
# deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-proposed main restricted universe multiverse
# # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ bionic-proposed main restricted universe multiverse
```
python3.7.5配置了环境变量以及软连接
.bashrc新增内容
```
export LD_LIBRARY_PTATH=/usr/local/python3.7.5/lib:$LD_LIBRARY_PATH
export PATH=/usr/local/python3.7.5/bin:$PATH
source /usr/local/Ascend/driver/bin/setenv.bash
source /home/HwHiAiUser/Ascend/nnrt/set_env.sh
source /home/HwHiAiUser/Ascend/ascend-toolkit/set_env.sh
export PATH=$PATH:/home/HwHiAiUser/downloads/cmake-3.30.0-rc2-linux-x86_64/bin
```
三、测试步骤：
- 下载样例代码 `git clone https://gitee.com/ascend/samples`
- 进入目录 `cd samples/operator/AddCustomSample/FrameworkLaunch`
- 配置环境 `source ~/.bashrc`
- 修改CANN环境配置，将/usr/local/...全部替换为真实路径/home/HwHiAiUser/...
- 进入目录 `cd samples/operator/AddCustomSample/FrameworkLaunch/AddCustom/`
- 生成算子run包，并进入build_out安装.run
- 进入目录 `cd samples/operator/AddCustomSample/FrameworkLaunch/AclNNInvocation`
- 执行 `bash run.sh`报错

四、日志信息:
```
INFO: generate input data success!
-- The C compiler identification is GNU 7.5.0
-- The CXX compiler identification is GNU 7.5.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- env INC_PATH: /home/HwHiAiUser/Ascend/ascend-toolkit/latest
-- env LIB_PATH: /home/HwHiAiUser/Ascend/ascend-toolkit/latest/lib64
-- Configuring done (0.3s)
-- Generating done (0.0s)
-- Build files have been written to: /home/HwHiAiUser/code/samples/operator/AddCustomSample/FrameworkLaunch/AclNNInvocation/build
INFO: cmake success!
[ 20%] Building CXX object CMakeFiles/execute_add_op.dir/operator_desc.cpp.o
[ 40%] Building CXX object CMakeFiles/execute_add_op.dir/op_runner.cpp.o
[ 60%] Building CXX object CMakeFiles/execute_add_op.dir/main.cpp.o
[ 80%] Building CXX object CMakeFiles/execute_add_op.dir/common.cpp.o
[100%] Linking CXX executable /home/HwHiAiUser/code/samples/operator/AddCustomSample/FrameworkLaunch/AclNNInvocation/output/execute_add_op
[100%] Built target execute_add_op
INFO: make success!
INFO: execute op!
[INFO]  Set device[0] success
[INFO]  Get RunMode[1] success
[INFO]  Init resource success
[INFO]  Set input success
[INFO]  Copy input[0] success
[INFO]  Copy input[1] success
[INFO]  Create stream success
[ERROR]  Get Operator Workspace failed. error code is 361001
[ERROR]  Run op failed
[INFO]  Reset Device success
[INFO]  Destory resource success
ERROR: acl executable run failed! please check your project!
```

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