Model Zoo for Intel® Architecture v2.6.0

TensorFlow Framework

• Support for TensorFlow v2.7.0

New TensorFlow models

• N/A

Other features and bug fixes for TensorFlow models

• Updates to only use docker --privileged when required and check --cpuset
• • Except for BERT Large and Wide and Deep models
• Updated the ImageNet download link
• Fix platform_util.py for systems with only one socket or subset of cores within a socket
• Replace USE_DAAL4PY_SKLEARN env var with patch_sklearn
• Add error handling for when a frozen graph isn't passed for BERT large FP32 inference*

PyTorch Framework

• Support for PyTorch v1.10.0 and IPEX v1.10.0

New PyTorch models

• GoogLeNet Inference(FP32, BFloat16**)
• Inception v3 Inference(FP32, BFloat16**)
• MNASNet 0.5 Inference(FP32, BFloat16**)
• MNASNet 1.0 Inference(FP32, BFloat16**)
• ResNet 50 Inference(Int8)
• ResNet 50 Training(FP32, BFloat16**)
• ResNet 101 Inference(FP32, BFloat16**)
• ResNet 152 Inference(FP32, BFloat16**)
• ResNext 32x4d Inference(FP32, BFloat16**)
• ResNext 32x16d Inference(FP32, Int8, BFloat16**)
• VGG-11 Inference(FP32, BFloat16**)
• VGG-11 with batch normalization Inference(FP32, BFloat16**)
• Wide ResNet-50-2 Inference(FP32, BFloat16**)
• Wide ResNet-101-2 Inference(FP32, BFloat16**)
• BERT base Inference(FP32, BFloat16**)
• BERT large Inference(FP32, Int8, BFloat16**)
• BERT large Training(FP32, BFloat16**)
• DistilBERT base Inference(FP32, BFloat16**)
• RNN-T Inference(FP32, BFloat16**)
• RNN-T Training(FP32, BFloat16**)
• RoBERTa base Inference(FP32, BFloat16**)
• Faster R-CNN ResNet50 FPN Inference(FP32
• Mask R-CNN Inference(FP32, BFloat16**)
• Mask R-CNN Training(FP32, BFloat16**)
• Mask R-CNN ResNet50 FPN Inference(FP32)
• RetinaNet ResNet-50 FPN Inference(FP32)
• SSD-ResNet34 Inference(FP32, Int8, BFloat16**)
• SSD-ResNet34 Training(FP32, BFloat16**)
• DLRM Inference(FP32, Int8, BFloat16**)
• DLRM Training(FP32)

Other features and bug fixes for PyTorch models

• DLRM and ResNet 50 documentation updates

Supported Configurations

Intel Model Zoo 2.6.0 is validated on the following environment:

• Ubuntu 20.04 LTS
• Python 3.8, 3.9
• Docker Server v19+
• Docker Client v18+