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update doc
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thevishalagarwal committed Sep 3, 2025
commit e1464d87b68a74941717e1400ba1e90e926dd3ab
2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -10,7 +10,7 @@ plugins:
- jekyll-redirect-from
kramdown:
parse_block_html: true
toc_levels: '2'
toc_levels: '4'
logo: '/images/ONNX-Runtime-logo.svg'
aux_links:
'ONNX Runtime':
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4 changes: 2 additions & 2 deletions docs/execution-providers/TensorRTRTX-ExecutionProvider.md
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Expand Up @@ -99,13 +99,13 @@ For a practical example of usage, please refer to:

There are two other ways to quick generate an EP context model

1. **ONNX Runtime Perf Test**
**ONNX Runtime Perf Test**

```sh
onnxruntime_perf_test.exe -e nvtensorrtrtx -I -r 1 "/path/to/model.onnx" --compile_ep_context --compile_model_path "/path/to/model_ctx.onnx"
```

2. **Python Script**
**Python Script**

```sh
python tools/python/compile_ep_context_model.py -i "path/to/model.onnx" -o "/path/to/model_ctx.onnx"
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