Intel Model Zoo 2.2.0 release
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+