remove outdated models (#2548)

* remove outdated models * update actions to pass lint
intel · Nov 19, 2024 · 33519e6 · 33519e6
1 parent 2dd1f48
commit 33519e6
Showing 1 changed file with 0 additions and 18 deletions.
diff --git a/docs/general/CPU_DEVCATALOG.md b/docs/general/CPU_DEVCATALOG.md
@@ -25,13 +25,6 @@ The tables below link to documentation on how to run each use case using docker
 | PyTorch | [ResNet 50](../../models_v2/pytorch/resnet50/training/cpu/CONTAINER.md) | FP32,BF32,BF16 | Training | ImageNet 2012 |
 | PyTorch | [ResNet 50](../../models_v2/pytorch/resnet50/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,INT8 | Inference | ImageNet 2012 |
 | PyTorch | [Vision Transformer](../../models_v2/pytorch/vit/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,INT8-FP32,INT8-BF16 | Inference | ImageNet 2012 |
-| TensorFlow | [MobileNet V1*](../../quickstart/image_recognition/tensorflow/mobilenet_v1/inference/cpu/README_DEV_CAT.md) | FP32,BF32,FP16,INT8 | Inference | ImageNet 2012 |
-
-## Image Segmentation
-
-| Framework | Model                                                  | Precisions | Mode |  Dataset |
-| --------| ------------------------------------------------------ | ---------- | ------| --------------------- |
-| TensorFlow | [3D U-Net MLPerf*](../../quickstart/image_segmentation/tensorflow/3d_unet_mlperf/inference/cpu/README_DEV_CAT.md) | FP32,BF16,INT8 | Inference | BRATS 2019 |
 
 ### Object Detection
 
@@ -42,9 +35,6 @@ The tables below link to documentation on how to run each use case using docker
 | PyTorch |[SSD-ResNet34](../../models_v2/pytorch/ssd-resnet34/training/cpu/CONTAINER.md) | FP32,BF32,BF16 | Training | COCO 2017 |
 | PyTorch |[SSD-ResNet34](../../models_v2/pytorch/ssd-resnet34/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,INT8 | Inference | COCO 2017 |
 | PyTorch |[YOLO v7](../../models_v2/pytorch/yolov7/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,FP16,INT8 | Inference | COCO 2017 |
-| TensorFlow | [SSD-ResNet34](../../quickstart/object_detection/tensorflow/ssd-resnet34/training/cpu/README_DEV_CAT.md) | FP32,BF32,BF16 |Training | COCO 2017 |
-| TensorFlow | [SSD-ResNet34](../../quickstart/object_detection/tensorflow/ssd-resnet34/inference/cpu/README_DEV_CAT.md) | FP32,BF16,INT8 |Inference | COCO 2017  |
-| TensorFlow | [SSD-MobileNet*](../../quickstart/object_detection/tensorflow/ssd-mobilenet/inference/cpu/README_DEV_CAT.md) | FP32,BF32,BF16,INT8 | Inference | COCO 2017 |
 
 ### Language Modeling 
 
@@ -57,13 +47,6 @@ The tables below link to documentation on how to run each use case using docker
 | PyTorch |[DistilBERT base](../../models_v2/pytorch/distilbert/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,INT8-BF16,INT8-BF32 | Inference | SST-2 |
 | TensorFlow | [BERT large](../../quickstart/language_modeling/tensorflow/bert_large/training/cpu/README_DEV_CAT.md) | FP32,BF16 | Training |  SQuAD and MRPC |
 | TensorFlow | [BERT large](../../quickstart/language_modeling/tensorflow/bert_large/inference/cpu/README_DEV_CAT.md) | FP32,BF32,BF16,INT8 |Inference | SQuAD |
-| TensorFlow | [DistilBERT Base](../../quickstart/language_modeling/tensorflow/distilbert_base/inference/cpu/README_DEV_CAT.md) | FP32,BF16,INT8 | Inference | SST-2 | 
-
-## Language Translation
-| Framework | Model                                                  | Precisions | Mode |  Dataset |
-| --------| ------------------------------------------------------ | ---------- | ------| --------------------- |
-| TensorFlow | [Transformer_LT_mlperf*](../../quickstart/language_translation/tensorflow/transformer_mlperf/training/cpu/README_DEV_CAT.md) | FP32,BF16 | Training | WMT English-German dataset |
-| TensorFlow | [Transformer_LT_mlperf*](../../quickstart/language_translation/tensorflow/transformer_mlperf/inference/cpu/README_DEV_CAT.md) | FP32,BF32,BF16,INT8 | Inference |  WMT English-German dataset |
 
 ### Recommendation 
 
@@ -72,4 +55,3 @@ The tables below link to documentation on how to run each use case using docker
 | PyTorch | [DLRM](../../models_v2/pytorch/dlrm/training/cpu/CONTAINER.md) | FP32,BF32,BF16 | Training | Criteo Terabyte |
 | PyTorch | [DLRM](../../models_v2/pytorch/dlrm/inference/cpu/CONTAINER.md) | FP32,BF32,BF16,INT8 | Inference | Criteo Terabyte |
 | PyTorch | [DLRM v2](../../models_v2/pytorch/torchrec_dlrm/inference/cpu/CONTAINER.md) | FP32,BF16,FP16,INT8 | Inference | Criteo Terabyte |
-| TensorFlow | [DIEN](../../quickstart/recommendation/tensorflow/dien/inference/cpu/README_DEV_CAT.md) | FP32,BF32,BF16 | Inference | DIEN dataset |