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Fix rendering for torch.compile() docs (#25432)

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fix rendering
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Merve Noyan 2023-08-10 14:25:00 +03:00 committed by GitHub
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docs/source/en/perf_torch_compile.md
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@ -293,6 +293,7 @@ Below you can find inference durations in milliseconds for each model with and w
We also benchmarked on PyTorch nightly (2.1.0dev, find the wheel [here](https://download.pytorch.org/whl/nightly/cu118)) and observed improvement in latency both for uncompiled and compiled models.
### A100
| **Task/Model** | **Batch Size** | **torch 2.0 - no compile** | **torch 2.0 -<br> compile** |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 12.462 | 6.954 |
@ -303,6 +304,7 @@ We also benchmarked on PyTorch nightly (2.1.0dev, find the wheel [here](https://
| Object Detection/DETR | 16 | 163.749 | 163.706 |
### T4
| **Task/Model** | **Batch Size** | **torch 2.0 - <br>no compile** | **torch 2.0 - <br>compile** |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 14.408 | 14.052 |
@ -313,6 +315,7 @@ We also benchmarked on PyTorch nightly (2.1.0dev, find the wheel [here](https://
| Object Detection/DETR | 16 | OOM | OOM |
### V100
| **Task/Model** | **Batch Size** | **torch 2.0 - <br>no compile** | **torch 2.0 - <br>compile** |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 13.477 | 7.926 |
@ -327,6 +330,7 @@ We also benchmarked on PyTorch nightly (2.1.0dev, find the wheel [here](https://
We benchmarked `reduce-overhead` compilation mode for A100 and T4 in Nightly.
### A100
| **Task/Model** | **Batch Size** | **torch 2.0 - <br>no compile** | **torch 2.0 - <br>compile** |
|:---:|:---:|:---:|:---:|
| Image Classification/ConvNeXT | Unbatched | 11.758 | 7.335 |
@ -340,6 +344,7 @@ We benchmarked `reduce-overhead` compilation mode for A100 and T4 in Nightly.
### T4
| **Task/Model** | **Batch Size** | **torch 2.0 - <br>no compile** | **torch 2.0 - <br>compile** |
|:---:|:---:|:---:|:---:|
| Image Classification/ConvNeXT | Unbatched | 32.137 | 31.84 |