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原文链接:Serving TensorRT Models with NVIDIA Triton Inference Server
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以GauGAN模型为例,该模型是nVidia团队对语义图像合成的一个研究。该模型可以将用户通过基于语义的画笔画成的图像生成一个相对真实的图像。
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(…碎片化想法太多,只能先零散的记录,慢慢整合) **
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在本地(wsl2)使用模型的时候因为已经装好了cuda驱动,所以推理较快,但是在docker环境下由于没有安装对应的驱动 nvidia-docker ,导致模型跑在cpu上非常慢。
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.