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Fix incorrect EP options parameter names for TensorRT RTX #26304

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tianleiwu merged 1 commit into from
Oct 14, 2025
Merged

Fix incorrect EP options parameter names for TensorRT RTX #26304

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8 changes: 4 additions & 4 deletions docs/execution-providers/TensorRTRTX-ExecutionProvider.md
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Expand Up @@ -183,9 +183,9 @@ TensorRT RTX EP provides the following user configurable options with the [Execu
| nv_dump_subgraphs | `bool` | Enable subgraph dumping for debugging | false |
| nv_detailed_build_log | `bool` | Enable detailed build logging | false |
| enable_cuda_graph | `bool` | Enable [CUDA graph](https://developer.nvidia.com/blog/cuda-graphs/) to reduce inference overhead. Helpful for smaller models | false |
| profile_min_shapes | `str` | Comma-separated list of input tensor shapes for the minimum optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| profile_max_shapes | `str` | Comma-separated list of input tensor shapes for the maximum optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| profile_opt_shapes | `str` | Comma-separated list of input tensor shapes for the optimal optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| nv_profile_min_shapes | `str` | Comma-separated list of input tensor shapes for the minimum optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| nv_profile_max_shapes | `str` | Comma-separated list of input tensor shapes for the maximum optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| nv_profile_opt_shapes | `str` | Comma-separated list of input tensor shapes for the optimal optimization profile. Format: `"input1:dim1xdim2x...,input2:dim1xdim2x..."` | "" (auto) |
| nv_multi_profile_enable | `bool` | Enable support for multiple optimization profiles in TensorRT engine. Allows dynamic input shapes for different inference requests | false |
| nv_use_external_data_initializer | `bool` | Use external data initializer for model weights. Useful for EP context large models with external data files | false |
| nv_runtime_cache_path | `str` | Path to store runtime cache. Setting this enables faster model loading by caching JIT compiled kernels for each TensorRT RTX engine. | "" (disabled) |
Expand Down Expand Up @@ -260,4 +260,4 @@ When using [onnxruntime_perf_test](https://github.com/microsoft/onnxruntime/tree

## Plugins Support

TensorRT RTX doesn’t support plugins
TensorRT RTX doesn’t support plugins
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