Empowering Models with Performance: The Art of Generalized Model Transformation Approach | PyTorch
TorchDynamo Update: 1.48x geomean speedup on TorchBench CPU Inference - compiler - PyTorch Dev Discussions
PyTorch on X: "4. ⚠️ Inference tensors can't be used outside InferenceMode for Autograd operations. ⚠️ Inference tensors can't be modified in-place outside InferenceMode. ✓ Simply clone the inference tensor and you're
Deploying a Seq2Seq Model with TorchScript — PyTorch Tutorials 2.2.1+cu121 documentation
Optimize inference using torch.compile()
A BetterTransformer for Fast Transformer Inference | PyTorch
E_11. Validation / Test Loop Pytorch - Deep Learning Bible - 2. Classification - Eng.
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
Optimize inference using torch.compile()
Benchmarking Transformers: PyTorch and TensorFlow | by Lysandre Debut | HuggingFace | Medium
TorchServe: Increasing inference speed while improving efficiency - deployment - PyTorch Dev Discussions
The Correct Way to Measure Inference Time of Deep Neural Networks | Deci
Deploying PyTorch models for inference at scale using TorchServe | AWS Machine Learning Blog
Inference mode throws RuntimeError for `torch.repeat_interleave()` for big tensors · Issue #75595 · pytorch/pytorch · GitHub
Use inference_mode instead of no_grad for pth v1.9.0 · Issue #2193 · pytorch/ignite · GitHub
torch.inference_mode and tensor subclass: RuntimeError: Cannot set version_counter for inference tensor · Issue #112024 · pytorch/pytorch · GitHub
Lightning Talk: Accelerating Inference on CPU with Torch.Compile - Jiong Gong, Intel - YouTube