These are the deep learning Models optimized to run on Intel® Xeon® Scalable processors
| Container | Framework | Docker Pull Command | Compressed Size |
|---|---|---|---|
| ResNet 50v1.5 Training | TensorFlow | docker pull intel/image-recognition:centos-tf-cpu-resnet50v1-5-training |
1.46GB |
| ResNet 50v1.5 Inference | TensorFlow | docker pull intel/image-recognition:centos-tf-cpu-resnet50v1-5-inference |
1.69GB |
| BERT large Training | TensorFlow | docker pull intel/language-modeling:centos-tf-cpu-bert-large-pretraining |
1.46GB |
| BERT large Inference | TensorFlow | docker pull intel/language-modeling:centos-tf-cpu-bert-large-inference |
6.76GB |
| DIEN Inference | TensorFlow | docker pull intel/recommendation:centos-tf-cpu-dien-inference |
1.61GB |
| MobileNet V1* Inference | TensorFlow | docker pull intel/image-recognition:centos-tf-cpu-mobilenet-v1-inference |
1.39GB |
| 3D U-Net MLPerf* Inference | TensorFlow | docker pull intel/image-segmentation:centos-tf-cpu-3d-unet-mlperf-inference |
2.41GB |
| SSD-ResNet34 Training | TensorFlow | docker pull intel/object-detection:centos-tf-cpu-ssd-resnet34-training |
2.83GB |
| SSD-ResNet34 Inference | TensorFlow | docker pull intel/object-detection:centos-tf-cpu-ssd-resnet34-inference |
2.9GB |
| SSD-MobileNet* Inference | TensorFlow | docker pull intel/object-detection:centos-tf-cpu-ssd-mobilenet-inference |
2.56GB |
| Transformer_LT_mlperf Training | TensorFlow | docker pull intel/language-translation:centos-tf-cpu-transformer-mlperf-training |
1.46GB |
| Transformer_LT_mlperf Inference | TensorFlow | docker pull intel/language-translation:centos-tf-cpu-transformer-mlperf-inference |
3.1GB |
| ResNet50 Training | PyTorch | docker pull intel/image-recognition:centos-pytorch-cpu-resnet50-training |
1.63GB |
| ResNet50 Inference | PyTorch | docker pull intel/image-recognition:centos-pytorch-cpu-resnet50-inference |
1.58GB |
| ResNext-32x16d Inference | PyTorch | docker pull intel/image-recognition:centos-pytorch-cpu-resnext-32x16d-inference |
1.58GB |
| Mask R-CNN Training | PyTorch | docker pull intel/object-detection:centos-pytorch-cpu-maskrcnn-training |
1.76GB |
| Mask R-CNN Inference | PyTorch | docker pull intel/object-detection:centos-pytorch-cpu-maskrcnn-inference |
1.47GB |
| SSD-ResNet34 Training | PyTorch | docker pull intel/object-detection:centos-pytorch-cpu-ssd-resnet34-training |
1.79GB |
| SSD-ResNet34 Inference | PyTorch | docker pull intel/object-detection:centos-pytorch-cpu-ssd-resnet34-inference |
1.76GB |
| BERT large Training | PyTorch | docker pull intel/language-modeling:centos-pytorch-cpu-bert-large-training |
1.99GB |
| BERT large Inference | PyTorch | docker pull intel/language-modeling:centos-pytorch-cpu-bert-large-inference |
1.82GB |
| DistilBERT base Inference | PyTorch | docker pull intel/language-modeling:centos-pytorch-cpu-distilbert-inference |
2.04GB |
| RNNT Training | PyTorch | docker pull intel/language-modeling:centos-pytorch-cpu-rnnt-training |
1.9GB |
| RNNT Inference | PyTorch | docker pull intel/language-modeling:centos-pytorch-cpu-rnnt-inference |
1.85GB |
| DLRM Training | PyTorch | docker pull intel/recommendation:centos-pytorch-cpu-dlrm-training |
1.57GB |
| DLRM Inference | PyTorch | docker pull intel/recommendation:centos-pytorch-cpu-dlrm-inference |
1.53GB |