TorchServe CPP Backend скачать в хорошем качестве

TorchServe CPP Backend

Watch Li Ning from AWS present her talk "TorchServe CPP Backend" at PyTorch Conference 2022. TorchServe is a PyTorch model serving solution. Internally, it is divided into two parts: frontend for model management, and backend for model loading and prediction. TorchServe’s default Python backend allows users to easily plug in a model’s pre and post processing, and also serves PyTorch’s eager mode and torchscripted models. However, this backend limits TorchServe to further performance optimizations due to Python’s restrictions. TorchServe’s CPP backend is a new feature implemented in C++. It not only allows users to plug in model pre and post processing as Python backend does, but also builds the foundation for GPU utilization and concurrency optimization, even providing the flexibility to be embedded in an edge device. Visit our website: https://pytorch.org/ Read our blog: https://pytorch.org/blog/ Follow us on Twitter:   / pytorch   Follow us on LinkedIn:   / pyto.  . Follow us on Facebook:   / pytorch   #PyTorch #ArtificialIntelligence #MachineLearning