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Lightning Talk: Adding Backends for TorchInductor: Case Study with Intel GPU - Eikan Wang, Intel - YouTube
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TorchInductor: a PyTorch-native Compiler with Define-by-Run IR and Symbolic Shapes - compiler - PyTorch Dev Discussions
Torch2 CPU] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.cumsum · Issue #93495 · pytorch/pytorch · GitHub
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
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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