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In difficult times, it is critical for developers and technologists to turn their focus toward designing solutions that serve communities. “Does my new tool solve a clear problem?” “How are people already adapting my products?” “Have I taken a global perspective?” Explore how to answer these and other key questions for designing with care in the time of COVID-19: https://bit.ly/2zvWM2K
PyTorch 1.5 has been released, delivering significant updates to several APIs including the C++ frontend. The update also includes new APIs for autograd for hessians and jacobians, and allows for the creation of Custom C++ Classes. Additionally, the update contains a stable release of the distributed RPC framework used for model-parallel training, and ‘channels last’ memory format for computer vision models. Check out the full release notes: https://bit.ly/2YZ1UHg



























