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ammending triton deployment documentation
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docsrc/tutorials/deploy_torch_tensorrt_to_triton.rst

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@@ -30,7 +30,7 @@ Sign up and login with your key (follow the instructions
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# <xx.xx> is the yy:mm for the publishing tag for NVIDIA's Pytorch
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# container; eg. 22.04
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docker run -it --gpus all -v $(pwd):/workspace nvcr.io/nvidia/pytorch:<xx.xx>-py3
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docker run -it --gpus all -v ${PWD}:/workspace nvcr.io/nvidia/pytorch:<xx.xx>-py3
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Once inside the container, we can proceed to download a ResNet model from
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Torchhub and optimize it with Torch-TensorRT.

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