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Add PyTorch Glossary (#40639)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40639 Differential Revision: D22421207 Pulled By: gmagogsfm fbshipit-source-id: 7df8bfc85e28bcf1fb08892a3671e7a9cb0dee9c
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GLOSSARY.md
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GLOSSARY.md
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# PyTorch Glossary
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- [PyTorch Glossary](#pytorch-glossary)
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- [Operation and Kernel](#operation-and-kernel)
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- [ATen](#aten)
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- [Operation](#operation)
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- [Native Operation](#native-operation)
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- [Custom Operation](#custom-operation)
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- [Kernel](#kernel)
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- [Compound Operation](#compound-operation)
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- [Composite Operation](#composite-operation)
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- [Non-Leaf Operation](#non-leaf-operation)
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- [Leaf Operation](#leaf-operation)
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- [Device Kernel](#device-kernel)
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- [Compound Kernel](#compound-kernel)
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- [JIT Compilation](#jit-compilation)
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- [JIT](#jit)
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- [TorchScript](#torchscript)
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- [Tracing](#tracing)
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- [Scripting](#scripting)
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# Operation and Kernel
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## ATen
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Short for "A Tensor Library". The foundational tensor and mathematical
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operation library on which all else is built.
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## Operation
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A unit of work. For example, the work of matrix multiplication is an operation
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called aten::matmul.
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## Native Operation
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An operation that comes natively with PyTorch ATen, for example aten::matmul.
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## Custom Operation
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An Operation that is defined by users and is usually a Compound Operation.
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For example, this
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[tutorial](https://pytorch.org/docs/stable/notes/extending.html) details how
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to create Custom Operations.
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## Kernel
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Implementation of a PyTorch operation, specifying what should be done when an
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operation executes.
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## Compound Operation
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A Compound Operation is composed of other operations. Its kernel is usually
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device-agnostic. Normally it doesn't have its own derivative functions defined.
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Instead, AutoGrad automatically computes its derivative based on operations it
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uses.
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## Composite Operation
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Same as Compound Operation.
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## Non-Leaf Operation
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Same as Compound Operation.
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## Leaf Operation
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An operation that's considered a basic operation, as opposed to a Compound
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Operation. Leaf Operation always has dispatch functions defined, usually has a
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derivative function defined as well.
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## Device Kernel
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Device-specific kernel of a leaf operation.
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## Compound Kernel
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Opposed to Device Kernels, Compound kernels are usually device-agnostic and belong to Compound Operations.
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# JIT Compilation
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## JIT
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Just-In-Time Compilation.
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## TorchScript
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An interface to the TorchScript JIT compiler and interpreter.
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## Tracing
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Using `torch.jit.trace` on a function to get an executable that can be optimized
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using just-in-time compilation.
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## Scripting
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Using `torch.jit.script` on a function to inspect source code and compile it as
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TorchScript code.
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@ -323,6 +323,7 @@ Three pointers to get you started:
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- [Tutorials: get you started with understanding and using PyTorch](https://pytorch.org/tutorials/)
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- [Examples: easy to understand pytorch code across all domains](https://github.com/pytorch/examples)
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- [The API Reference](https://pytorch.org/docs/)
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- [Glossary](https://github.com/pytorch/pytorch/blob/master/GLOSSARY.md)
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## Resources
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