PyTorch 1.5 Released: New APIs, Updated C Frontend and More - Synced

The PyTorch Team yesterday announced the release of PyTorch 1.5, along with new and updated libraries. The release features several major new API additions and improvements, including a significant update to the C frontend, Channel Last memory format for computer vision models, and a stable release of the distributed RPC framework used for model-parallel training. The C frontend API is now at parity with Python with appropriate documentation, and features previously tagged as experimental have been moved to stable versions. C optimizers now also behave identically to those in the Python API. The team has also released an experimental Channel Last memory format for computer vision models, which unlocks the ability to use performance efficient convolution algorithms and hardware such as Nvidia's Tensor Cores and FBGEMM.