\"NVIDIA TensorRT is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications.
\nTensorRT is integrated with PyTorch and TensorFlow so you can achieve 6x faster inference with 1 line of code\"
https://developer.nvidia.com/tensorrt#what-is
\n\"TensorFlow-TensorRT (TF-TRT) is an integration of TensorFlow and TensorRT that leverages inference optimization on NVIDIA GPUs within the TensorFlow ecosystem\"
\nThis blog will introduce TensorRT integration in TensorFlow 2.x, and demonstrate a sample workflow with the latest API. Even if you are new to this integration, this blog contains all the information you need to get started. Using the TensorRT integration has shown to improve performance by 2.4X compared to native TensorFlow inference on Nvidia T4 GPUs.\"
\nhttps://blog.tensorflow.org/2021/01/leveraging-tensorflow-tensorrt-integration.html
\"Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs.\"
\nhttps://www.kaggle.com/bouweceunen/nvidia-tensorrt-on-kaggle
", "messages": [ { "id": "1612415", "postDate": "12/08/2021 22:48:44", "content": "\"NVIDIA TensorRT is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications.
\nTensorRT is integrated with PyTorch and TensorFlow so you can achieve 6x faster inference with 1 line of code\"
https://developer.nvidia.com/tensorrt#what-is
\n\"TensorFlow-TensorRT (TF-TRT) is an integration of TensorFlow and TensorRT that leverages inference optimization on NVIDIA GPUs within the TensorFlow ecosystem\"
\nThis blog will introduce TensorRT integration in TensorFlow 2.x, and demonstrate a sample workflow with the latest API. Even if you are new to this integration, this blog contains all the information you need to get started. Using the TensorRT integration has shown to improve performance by 2.4X compared to native TensorFlow inference on Nvidia T4 GPUs.\"
\nhttps://blog.tensorflow.org/2021/01/leveraging-tensorflow-tensorrt-integration.html
\"Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs.\"
\nhttps://www.kaggle.com/bouweceunen/nvidia-tensorrt-on-kaggle
", "rawMarkdown": "###### What is NVIDIA TensorRT?\n\n\"NVIDIA TensorRT is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications.\nTensorRT is integrated with PyTorch and TensorFlow so you can achieve **6x faster** inference with 1 line of code\"\n\nhttps://developer.nvidia.com/tensorrt#what-is\n\n----------------------------------------------------------------------------\n\n###### What is TensorFlow-TensorRT? \n\n\"TensorFlow-TensorRT (TF-TRT) is an integration of TensorFlow and TensorRT that leverages inference optimization on NVIDIA GPUs within the TensorFlow ecosystem\"\n\n----------------------------------------------------------------------------\n\n###### Leveraging TensorFlow-TensorRT integration for Low latency Inference [TensorFlow blog] \n\nThis blog will introduce TensorRT integration in TensorFlow 2.x, and demonstrate a sample workflow with the latest API. Even if you are new to this integration, this blog contains all the information you need to get started. Using the TensorRT integration has shown to improve performance by 2.4X compared to native TensorFlow inference on Nvidia T4 GPUs.\"\nhttps://blog.tensorflow.org/2021/01/leveraging-tensorflow-tensorrt-integration.html\n\n----------------------------------------------------------------------------\n\n###### How To Increase Inference Performance with TensorFlow-TensorRT [Nvidia Youtube]\n\nhttps://youtu.be/O-_K42EAlP0\n\n-----------------------------------------------------------------------------\n\n###### What is Torch-TensorRT?\n\n\"Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs.\"\n\n----------------------------------------------------------------------------\n\n###### Accelerating Inference Up to 6x Faster in PyTorch with Torch-TensorRT [Nvidia blog]\n\nhttps://developer.nvidia.com/blog/accelerating-inference-up-to-6x-faster-in-pytorch-with-torch-tensorrt/\n\n----------------------------------------------------------------------------\n\n\n###### Getting Started with NVIDIA Torch-TensorRT [Nvidia Youtube]\nhttps://youtu.be/TU5BMU6iYZ0\n\n----------------------------------------------------------------------------\n\n\n###### NVIDIA TensorRT on Kaggle [Kaggle notebook]\n\nhttps://www.kaggle.com/bouweceunen/nvidia-tensorrt-on-kaggle", "votes": null }, { "id": "1612614", "postDate": "12/09/2021 06:47:23", "content": "TensorRT is little bit faster than Torch TensorRT
", "rawMarkdown": "[TensorRT](https://github.com/NVIDIA/TensorRT) is little bit faster than [Torch TensorRT](https://github.com/NVIDIA/Torch-TensorRT)", "votes": null }, { "id": "1620374", "postDate": "12/16/2021 17:40:58", "content": "Can TensorRT be valid to win a bonus prize in this competition?
", "rawMarkdown": "Can TensorRT be valid to win a bonus prize in this competition?", "votes": null } ], "comments": [ { "id": 1612614, "author_name": "morizin", "author_url": "", "post_date": "12/09/2021 06:47:23", "content": "TensorRT is little bit faster than Torch TensorRT
", "votes": null, "replies": [] }, { "id": 1620374, "author_name": "phamthaihoangtung", "author_url": "", "post_date": "12/16/2021 17:40:58", "content": "Can TensorRT be valid to win a bonus prize in this competition?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1612415": "###### What is NVIDIA TensorRT?\n\n\"NVIDIA TensorRT is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications.\nTensorRT is integrated with PyTorch and TensorFlow so you can achieve **6x faster** inference with 1 line of code\"\n\nhttps://developer.nvidia.com/tensorrt#what-is\n\n----------------------------------------------------------------------------\n\n###### What is TensorFlow-TensorRT? \n\n\"TensorFlow-TensorRT (TF-TRT) is an integration of TensorFlow and TensorRT that leverages inference optimization on NVIDIA GPUs within the TensorFlow ecosystem\"\n\n----------------------------------------------------------------------------\n\n###### Leveraging TensorFlow-TensorRT integration for Low latency Inference [TensorFlow blog] \n\nThis blog will introduce TensorRT integration in TensorFlow 2.x, and demonstrate a sample workflow with the latest API. Even if you are new to this integration, this blog contains all the information you need to get started. Using the TensorRT integration has shown to improve performance by 2.4X compared to native TensorFlow inference on Nvidia T4 GPUs.\"\nhttps://blog.tensorflow.org/2021/01/leveraging-tensorflow-tensorrt-integration.html\n\n----------------------------------------------------------------------------\n\n###### How To Increase Inference Performance with TensorFlow-TensorRT [Nvidia Youtube]\n\nhttps://youtu.be/O-_K42EAlP0\n\n-----------------------------------------------------------------------------\n\n###### What is Torch-TensorRT?\n\n\"Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs.\"\n\n----------------------------------------------------------------------------\n\n###### Accelerating Inference Up to 6x Faster in PyTorch with Torch-TensorRT [Nvidia blog]\n\nhttps://developer.nvidia.com/blog/accelerating-inference-up-to-6x-faster-in-pytorch-with-torch-tensorrt/\n\n----------------------------------------------------------------------------\n\n\n###### Getting Started with NVIDIA Torch-TensorRT [Nvidia Youtube]\nhttps://youtu.be/TU5BMU6iYZ0\n\n----------------------------------------------------------------------------\n\n\n###### NVIDIA TensorRT on Kaggle [Kaggle notebook]\n\nhttps://www.kaggle.com/bouweceunen/nvidia-tensorrt-on-kaggle", "1612614": "[TensorRT](https://github.com/NVIDIA/TensorRT) is little bit faster than [Torch TensorRT](https://github.com/NVIDIA/Torch-TensorRT)", "1620374": "Can TensorRT be valid to win a bonus prize in this competition?" }, "source": "meta" }