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[Docs] Fix nvidia_gpu.md, add sm80 in precompiled (#5462)
* Update supported GPU architectures in installation guide * Update supported architectures in GPU installation guide * Update GPU architectures support in installation guide
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@@ -83,7 +83,7 @@ The built packages will be in the ```FastDeploy/dist``` directory.
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## 5. Precompiled Operator Wheel Packages
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FastDeploy provides precompiled GPU operator wheel packages for quick setup without building the entire source code.
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This method currently supports **SM90 architecture (e.g., H20/H100)** and **CUDA 12.6** environments only.
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This method currently supports **SM80/90 architecture (e.g., A100/H100)** and **CUDA 12.6** environments only.
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> By default, `build.sh` compiles all custom operators from source.To use the precompiled package, enable it with the `FD_USE_PRECOMPILED` parameter.
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> If the precompiled package cannot be downloaded or does not match the current environment, the system will automatically fall back to `4. Build Wheel from Source`.
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@@ -104,7 +104,7 @@ cd FastDeploy
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# Argument 1: Whether to build wheel package (1 for yes)
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# Argument 2: Python interpreter path
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# Argument 3: Whether to compile CPU inference operators (false for GPU only)
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# Argument 4: Target GPU architectures (currently supports [90])
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# Argument 4: Target GPU architectures (currently supports 80/90)
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# Argument 5: Whether to use precompiled operators (1 for enable)
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# Argument 6 (optional): Specific commitID for precompiled operators(The default is the current commit ID.)
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@@ -121,7 +121,7 @@ After the build completes, the operator binaries can be found in `FastDeploy/fas
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> **Notes:**
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>
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> - This mode prioritizes downloading precompiled GPU operator wheels to reduce build time.
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> - Currently supports **GPU + SM90 + CUDA 12.6** only.
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> - Currently supports **GPU, SM80/90, CUDA 12.6** only.
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> - For custom architectures or modified operator logic, please use **source compilation (Section 4)**.
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> - You can check whether the precompiled wheel for a specific commit has been successfully built on the [FastDeploy CI Build Status Page](https://github.com/PaddlePaddle/FastDeploy/actions/workflows/ci_image_update.yml).
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