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#0: Update tg/tgg Resnet READMEs to be in line with the others
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tt-aho committed Sep 19, 2024
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5 changes: 4 additions & 1 deletion models/demos/tg/resnet50/README.md
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Expand Up @@ -15,6 +15,9 @@ ResNet50 is a deep convolutional neural network architecture with 50 layers, des

### TG
#### End-to-End Performance
+ For end-to-end performance, run `pytest models/demos/tg/resnet50/tests/test_perf_e2e_resnet.py::test_perf_trace`.
+ For end-to-end performance, run
```python
pytest models/demos/tg/resnet50/tests/test_perf_e2e_resnet.py::test_perf_trace`
```
+ This will generate a CSV with the timings and throughputs.
+ **Expected end-to-end perf**: For batch = 16 per device, or batch 512 in total, it is about `66,150 fps` currently. This may vary machine to machine.
5 changes: 4 additions & 1 deletion models/demos/tgg/resnet50/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,9 @@ ResNet50 is a deep convolutional neural network architecture with 50 layers, des

### TGG
#### End-to-End Performance
+ For end-to-end performance, run `pytest models/demos/tgg/resnet50/tests/test_perf_e2e_resnet.py::test_perf_trace`.
+ For end-to-end performance, run
```python
pytest models/demos/tgg/resnet50/tests/test_perf_e2e_resnet.py::test_perf_trace`
```
+ This will generate a CSV with the timings and throughputs.
+ **Expected end-to-end perf**: For batch = 16 per device, or batch 1024 in total, it is about `122,800 fps` currently. This may vary machine to machine.

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