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Adds a ruff lint rule to ban raising raw exceptions. Most of these should at the very least be runtime exception, value errors, type errors or some other errors. There are hundreds of instance of these bad exception types already in the codebase, so I have noqa'd most of them. Hopefully this error code will get commiters to rethink what exception type they should raise when they submit a PR. I also encourage people to gradually go and fix all the existing noqas that have been added so they can be removed overtime and our exception typing can be improved. Pull Request resolved: https://github.com/pytorch/pytorch/pull/124570 Approved by: https://github.com/ezyang |
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| TestApp | ||
| .gitignore | ||
| LibTorch-Lite-Nightly.podspec.template | ||
| LibTorch-Lite.h | ||
| LibTorch-Lite.podspec.template | ||
| LibTorch.h | ||
| LibTorch.podspec.template | ||
| METADATA.bzl | ||
| README.md | ||
PyTorch for iOS
Cocoapods Developers
PyTorch is now available via Cocoapods, to integrate it to your project, simply add the following line to your Podfile and run pod install
pod 'LibTorch-Lite'
Import the library
For Objective-C developers, simply import the umbrella header
#import <LibTorch-Lite.h>
For Swift developers, you need to create an Objective-C class as a bridge to call the C++ APIs. We highly recommend you to follow the Image Classification demo where you can find out how C++, Objective-C and Swift work together.
Disable Bitcode
Since PyTorch is not yet built with bitcode support, you need to disable bitcode for your target by selecting the Build Settings, searching for Enable Bitcode and set the value to No.
LICENSE
PyTorch is BSD-style licensed, as found in the LICENSE file.