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Fix some typos in Readme.md
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Signed-off-by: Samurdhi Karunaratne <skarunaratne@nvidia.com>
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samurdhikaru authored and rajeevsrao committed Nov 29, 2023
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -72,7 +72,7 @@ To build the TensorRT-OSS components, you will first need the following software

2. #### (Optional - if not using TensorRT container) Specify the TensorRT GA release build path

If using the TensorRT OSS build container, TensorRT libraries are preinstalled under `/usr/lib/x86_64-linux-gnu` and you may skip this step.
If using the TensorRT OSS build container, TensorRT libraries are pre-installed under `/usr/lib/x86_64-linux-gnu` and you may skip this step.

Else download and extract the TensorRT GA build from [NVIDIA Developer Zone](https://developer.nvidia.com/nvidia-tensorrt-download).

Expand All @@ -87,7 +87,7 @@ To build the TensorRT-OSS components, you will first need the following software

3. #### (Optional - for Jetson builds only) Download the JetPack SDK
1. Download and launch the JetPack SDK manager. Login with your NVIDIA developer account.
2. Select the platform and target OS (example: Jetson AGX Xavier, `Linux Jetpack 5.0`), and click Continue.
2. Select the platform and target OS (example: Jetson AGX Xavier, `Linux Jetpack 5.0`), and click Continue.
3. Under `Download & Install Options` change the download folder and select `Download now, Install later`. Agree to the license terms and click Continue.
4. Move the extracted files into the `<TensorRT-OSS>/docker/jetpack_files` folder.
Expand Down Expand Up @@ -193,7 +193,7 @@ For Linux platforms, we recommend that you generate a docker container for build
- Tesla T4, GeForce RTX 2080: `-DGPU_ARCHS="75"`
- Titan V, Tesla V100: `-DGPU_ARCHS="70"`
- Multiple SMs: `-DGPU_ARCHS="80 75"`
- `TRT_PLATFORM_ID`: Bare-metal build (unlike containerized cross-compilation) on non Linux/x86 platforms must explicitly specify the target platform. Currently supported options: `x86_64` (default), `aarch64`
- `TRT_PLATFORM_ID`: Bare-metal build (unlike containerized cross-compilation) on non-Linux/x86 platforms must explicitly specify the target platform. Currently supported options: `x86_64` (default), `aarch64`
# References
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