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TorchInductor: a PyTorch-native Compiler with Define-by-Run IR and Symbolic Shapes - compiler - PyTorch Dev Discussions
How Pytorch 2.0 Accelerates Deep Learning with Operator Fusion and CPU/GPU Code-Generation | by Shashank Prasanna | Towards Data Science
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Induction heating of plasma in an RF induction plasma torch: 1-inductor... | Download Scientific Diagram
![Mark Saroufim on X: "On the subject of codegen I also wanna plug from torch.utils.cpp_extension import load_inline pass it a cuda kernel as a string and it'll generate the right build scripts Mark Saroufim on X: "On the subject of codegen I also wanna plug from torch.utils.cpp_extension import load_inline pass it a cuda kernel as a string and it'll generate the right build scripts](https://pbs.twimg.com/media/GDwBiSaaYAA2oPQ.jpg)
Mark Saroufim on X: "On the subject of codegen I also wanna plug from torch.utils.cpp_extension import load_inline pass it a cuda kernel as a string and it'll generate the right build scripts
Case study of torch.compile / cpp inductor on CPU: min_sum / mul_sum with 1d / matmul-like with static / dynamic shapes · Issue #106614 · pytorch/pytorch · GitHub
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TorchInductor: a PyTorch-native Compiler with Define-by-Run IR and Symbolic Shapes - compiler - PyTorch Dev Discussions
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PyTorch 2.0 Ask the Engineers Q&A Series: Deep Dive into TorchInductor and PT2 Backend Integration - YouTube
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