Model Zoo for Intel® Architecture v2.11.0

Supported Frameworks

• Intel® Optimizations for TensorFlow v2.12.0
• Intel® Optimizations for TensorFlow v2.11.dev202242 for optimized performance on Sapphire Rapids
• Intel® Extension for TensorFlow v1.2.0
• Intel® Extension for PyTorch v2.0.0+cpu
• Intel® Extension for PyTorch v1.13.120+xpu

New models

• New precisions FP16 and BFloat16 for different workloads

New features

• Intel® Data Center GPU Flex and Max Series workloads validated with Intel® Extension for PyTorch v1.13.120+xpu and Intel® Extension for TensorFlow v1.2.0.
• Intel® Cloud Data Connector, a tool that helps to use cloud storage tools as AWS Buckets, Google Storage and Azure Storage. Also helps to configure Machine Learning jobs on AzureML. This tool is a helper to use cloud services in Machine Learning process, also provides a common way to interact between cloud providers.
• Dataset Downloader command line interface, a tool to download and apply the preprocessing needed for the list of supported datasets.

Bug fixes:

• This release contains many bug fixes to the previous versions. Please see the commit history here: https://github.com/IntelAI/models/commits/v2.11.0

Supported Configurations

Intel Model Zoo v2.11.0 is validated on the following environment:

• Ubuntu 22.04 LTS
• Ubuntu 20.04 LTS
• Windows 11
• Windows Subsystem for Linux 2 (WSL2)
• Python 3.8, 3.9