Golang  TensorFlow2.5.0  have a memory leak on reloading model
Hi **@LoveVsLike** ,
Could you try to update tensorflow older version to the latest version. After that make sure the latest version of tfgo.Before reloading the model, make sure that any existing TensorFlow sessions are properly closed or deleted. You can explicitly close a session in TensorFlow using sess.Close(). 
If you are facing the same issue after these changes please feel free to ask. And provide code snippet also it is help us to reproduce your issue.

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

tf2.5.0

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I am a user of tfgo, and I encountered a bug in tfgo. When the model is reloaded, there is a memory leak, But when I see tfgo source code, I find this bug is from tf, Because I find TF C.TF_DeleteSession is not work

### Standalone code to reproduce the issue

```shell
I find tf lib C.TF_DeleteSession(s.c, status.c) is not work
```


### Relevant log output

_No response_