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Updated Core Frontend Onboarding (markdown)
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New to developing PyTorch? We've got you covered.
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Unit 1: PyTorch Basics
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### Unit 1: PyTorch Basics
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- [Developer Environment Setup](https://github.com/pytorch/pytorch/wiki/PyTorch-Basics#development-setup)
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- [Learn about where and how PyTorch is used](https://github.com/pytorch/pytorch/wiki/PyTorch-Basics#learn-about-how-to-use-pytorch)
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Unit 2: Tensors, Operators, and Testing
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### Unit 2: Tensors, Operators, and Testing
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- [Tensor and Operator Basics](https://github.com/pytorch/pytorch/wiki/Tensor-and-Operator-Basics)
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- [[Running and writing tests|Running-and-writing-tests]]
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- [Tensor Views Lab](https://colab.research.google.com/drive/1rJP2aw-f5Iwqwri0_Ei_OI8_esh1Nyeq#scrollTo=LpTEuP0JZzav&line=1&uniqifier=1)
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Unit 3: Autograd
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### Unit 3: Autograd
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- [Autograd basics](https://github.com/pytorch/pytorch/wiki/Autograd-Basics)
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- [Autograd Lab](https://github.com/pytorch/pytorch/wiki/Autograd-Onboarding-Lab)
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Unit 4: Dispatcher, Structured Kernels, and Codegen
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### Unit 4: Dispatcher, Structured Kernels, and Codegen
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- [[Dispatcher and Python bindings|PyTorch-dispatcher-walkthrough]]
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- [Codegen and Structured Kernels Lab](https://github.com/pytorch/pytorch/wiki/Codegen-and-Structured-Kernels)
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Unit 5: torch.nn
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### Unit 5: torch.nn
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- [[nn|nn-Basics]], [[C++|Cpp-API-Quick-Walkthrough]]
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- [Modules Lab](https://github.com/pytorch/pytorch/wiki/Module-Onboarding-Lab)
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Unit 6: CUDA basics
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### Unit 6: CUDA basics
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- [[CUDA-basics]]
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- [CUDA Perf Lab (internal-only)](https://github.com/pytorch/pytorch/wiki/CUDA-basics#debugging-and-profiling-tips)
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Unit 7: Data (Optional)
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### Unit 7: Data (Optional)
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- [[data|Data-Basics]]
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