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Intel Model Zoo 2.2.0 release

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@ashahba ashahba released this 13 Dec 00:11

New Functionality

Ten new TF workload containers and model packages that are available on the Intel® oneContainer Portal:

  • InceptionV4 FP32 Inference
  • InceptionV4 Int8 Inference
  • ResNet101 FP32 Inference
  • ResNet101 Int8 Inference
  • Transformer-LT MLPerf BFloat16 Training
  • GNMT MLPerf FP32 Inference
  • DenseNet169 FP32 Inference
  • ResNet50v1.5 BFloat16 Training
  • Wide & Deep Large Dataset FP32 Inference
  • Wide & Deep Large Dataset Int8 Inference

Two new PyTorch workload containers and model packages that are available on the Intel® oneContainer Portal:

  • ResNet50 FP32 Inference
  • ResNet50 BFloat16 Inference

Three new TF Kubernetes packages that are available on the Intel® oneContainer Portal:

  • BERT Large FP32 Training
  • Wide & Deep Large Dataset FP32 Training
  • RFCN FP32 Inference

A new Helm chart to deploy TensorFlow Serving on a K8s cluster

DL Frameworks (TensorFlow)

TensorFlow models in the 2.2 release are validated on the following TensorFlow versions:

  • Intel Optimizations for TensorFlow v2.3.0 or v1.15.2 (select models)
  • Intel Optimizations for TensorFlow serving v2.3

DL Frameworks (PyTorch)

PyTorch models in the 2.2 release are validated on the following PyTorch version:

  • PyTorch v1.5.0-rc3

Supported Configurations

Intel Model Zoo 2.2 is validated on the following environment:

  • Ubuntu 18.04 LTS
  • Python 3.6
  • Docker Server v19+
  • Docker Client v18+