How to Test all OPS/KERNELS Accuracy and Performance in my one device?
Hi, 

For platform level test, there is a test file here https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/platform/test.py.

For OP specific, there will be separate test files, which you can find it similar to this file here https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/eager/ops_test.py

TensorFlow has majority of test cases implemented in both `.py and .cc`.
For any specific file, the relevant test file will be `filename_test.py/.cc` similar to the example here https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/kernels/conv3d_test.cc 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

Performance

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

Yes

### Source

source

### TensorFlow version

1.15

### 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 have a device X
I am adapting TensorFlow on X
I want to know if my kernel are **Correct** and it's **Performance**，so  I'll test nearly **ALL ops** both on CPU/GPU/TPN  and X, and comparison results
if there is a **.py** to test all ops? or I need to write every case maself?

### Standalone code to reproduce the issue

```shell
nothing
```


### Relevant log output

_No response_