This submodule contains high-level common utilities used across multiple algorithms and
frameworks as well as helper functions for managing aspects of different frameworks like pytorch.
For example, pytorch_utils.py contains utilities to interact with PyTorch
like getting a device architecture (cpu or gpu), moving a model to a specific device, and handling
parallelism when multiple gpus are present.
This repository was archived by the owner on Nov 16, 2023. It is now read-only.