Description
This talk will present new features of TorchBench that make us to achieve even higher coverage of PyTorch & model benchmarking: More SOTA models in workloads; Integration with PT2 and other backends; Improvements on OSS service and infra, including userbenchmarks, model stableness improvements, and GCP A100 support.