![TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions](https://global.discourse-cdn.com/standard10/uploads/pytorch1/original/2X/0/055c2bb5545a13b017cf21e820655df4a19c8f20.jpeg)
TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions
![Abubakar Abid on X: "3/3 Luckily, we don't have to disable these ourselves. Use PyTorch's 𝚝𝚘𝚛𝚌𝚑.𝚒𝚗𝚏𝚎𝚛𝚎𝚗𝚌𝚎_𝚖𝚘𝚍𝚎 decorator, which is a drop-in replacement for 𝚝𝚘𝚛𝚌𝚑.𝚗𝚘_𝚐𝚛𝚊𝚍 ...as long you need those tensors for anything Abubakar Abid on X: "3/3 Luckily, we don't have to disable these ourselves. Use PyTorch's 𝚝𝚘𝚛𝚌𝚑.𝚒𝚗𝚏𝚎𝚛𝚎𝚗𝚌𝚎_𝚖𝚘𝚍𝚎 decorator, which is a drop-in replacement for 𝚝𝚘𝚛𝚌𝚑.𝚗𝚘_𝚐𝚛𝚊𝚍 ...as long you need those tensors for anything](https://pbs.twimg.com/media/F0HRsqKXwAAEiXw.jpg:large)
Abubakar Abid on X: "3/3 Luckily, we don't have to disable these ourselves. Use PyTorch's 𝚝𝚘𝚛𝚌𝚑.𝚒𝚗𝚏𝚎𝚛𝚎𝚗𝚌𝚎_𝚖𝚘𝚍𝚎 decorator, which is a drop-in replacement for 𝚝𝚘𝚛𝚌𝚑.𝚗𝚘_𝚐𝚛𝚊𝚍 ...as long you need those tensors for anything
Inference mode complains about inplace at torch.mean call, but I don't use inplace · Issue #70177 · pytorch/pytorch · GitHub
![TorchDynamo Update: 1.48x geomean speedup on TorchBench CPU Inference - compiler - PyTorch Dev Discussions TorchDynamo Update: 1.48x geomean speedup on TorchBench CPU Inference - compiler - PyTorch Dev Discussions](https://global.discourse-cdn.com/standard10/uploads/pytorch1/original/1X/1943bdcc2a52bb6016a5568bdbed8a223203d869.png)
TorchDynamo Update: 1.48x geomean speedup on TorchBench CPU Inference - compiler - PyTorch Dev Discussions
![Performance of `torch.compile` is significantly slowed down under `torch.inference_mode` - torch.compile - PyTorch Forums Performance of `torch.compile` is significantly slowed down under `torch.inference_mode` - torch.compile - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/d/6/d65819241a215e5606721d6179a38d960e0ef159.png)
Performance of `torch.compile` is significantly slowed down under `torch.inference_mode` - torch.compile - PyTorch Forums
![Deployment of Deep Learning models on Genesis Cloud - Deployment techniques for PyTorch models using TensorRT | Genesis Cloud Blog Deployment of Deep Learning models on Genesis Cloud - Deployment techniques for PyTorch models using TensorRT | Genesis Cloud Blog](https://blog.genesiscloud.com/assets/img/ml_inference_article_TensorRT_v1.png)
Deployment of Deep Learning models on Genesis Cloud - Deployment techniques for PyTorch models using TensorRT | Genesis Cloud Blog
![TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions](https://global.discourse-cdn.com/standard10/uploads/pytorch1/original/2X/2/209c033d4dfe32debf73a6d462c5537c87976137.png)