PyTorch 1.2
With PyTorch 1.2, the open source ML framework takes a major step forward for production usage with the addition of an improved and more polished TorchScript environment. These improvements make it even easier to ship production models, expand support for exporting ONNX formatted models, and enhance module level support for Transformers. In addition to these new features, TensorBoard is now no longer experimental - you can simply type from torch.utils.tensorboard import SummaryWriter to get started.
TorchScript Improvements
Since its release in PyTorch 1.0, TorchScript has provided a path to production for eager PyTorch models. The TorchScript compiler converts PyTorch models to a statically typed graph representation, opening up opportunities for
optimization and execution in constrained environments where Python is not available. You can incrementally convert your model to TorchScript, mixing compiled code seamlessly with Python.