Add documentation for NV TensorRT RTX ExecutionProvider#24829
Add documentation for NV TensorRT RTX ExecutionProvider#24829jywu-msft merged 3 commits intomicrosoft:gh-pagesfrom
Conversation
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Tagging @chilo-ms @gedoensmax @ishwar-raut1 for review. |
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@chilo-ms @jywu-msft any comments or suggestions ? (Not sure why the tests are failing). |
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Pull Request Overview
This PR adds documentation for the NV TensorRT RTX ExecutionProvider, providing detailed instructions and code examples for both C++ and Python users.
- Introduces a new markdown file with installation, build, usage, configurations, and performance tuning sections.
- Provides illustrative code snippets and explanations for session options and EP caching mechanisms.
Comments suppressed due to low confidence (2)
docs/execution-providers/TensorRTRTX-ExecutionProvider.md:18
- There is an extra preposition in the phrasing; consider revising to "to accelerate ONNX models on RTX GPUs".
to accelerate ONNX model in on RTX GPUs.
docs/execution-providers/TensorRTRTX-ExecutionProvider.md:63
- [nitpick] The link appears to reference a file with a slightly different name than the current document; consider updating it to 'TensorRTRTX-ExecutionProvider.md' for consistency.
Here are examples and different [scenarios](./TensorRT-RTXExecutionProvider.md#scenario) to set NV TensorRT RTX EP session options:
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LGTM. there are some known existing bad links which cause the failure. need to fix those. but should be unrelated to your doc |
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we need to fix the other broken link checks, but looks like there are some errors for the new page you adding For the Links > Internal check, the following failures were found:
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* Add build instructions for TRT-RTX (only windows for now) * Fix broken link
Sorry about that. Fixed. |
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@jywu-msft , Any more concerns for this first revision of the documentation? Can this be merged now? |
Description
Add documentation for NV TensorRT RTX ExecutionProvider
Motivation and Context
The EP is already online. This is for adding some basic documentation for the options / features exposed by the EP.