[TF1] Retirement notice for all models

TensorFlow/Classification/ConvNets/README.md

@@ -1,7 +1,7 @@
 # Resnet-family Convolutional Neural Networks for Image Classification in Tensorflow
 
-In this repository you will find implementation of Resnet and its variations for image
-classification
+In this repository you will find implementation of Resnet and its variations for image classification.
+Convolutional Network models for TensorFlow1 are no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 
@@ -84,6 +84,10 @@ three classification models side-by-side.
 ## Release notes
 
 ### Changelog
+
+April 2021
+  - Ceased maintenance of ConvNets in TensorFlow1
+
 June 2020
   - ConvNets repo restructurization
   - Initial release of ResNext and SE-Resnext

TensorFlow/Classification/ConvNets/resnet50v1.5/README.md

@@ -1,6 +1,7 @@
 # ResNet-50 v1.5 for TensorFlow
 
 This repository provides a script and recipe to train the ResNet-50 v1.5 model to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
+ResNet-50 model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 * [Model overview](#model-overview)
@@ -858,5 +859,8 @@ on NVIDIA T4 with (1x T4 16G) GPU.
   * Added support for syntetic dataset with different image size
 9. January, 2022
   * Added barrier at the end of multiprocess run
+10. April, 2023
+  * Ceased maintenance of ConvNets in TensorFlow1
+
 ### Known issues
 Performance without XLA enabled is low due to BN + ReLU fusion bug.

TensorFlow/Classification/ConvNets/resnext101-32x4d/README.md

@@ -1,6 +1,7 @@
 # ResNext101-32x4d for TensorFlow
 
 This repository provides a script and recipe to train the ResNext101-32x4d model to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
+ResNext101-32x4d model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 * [Model overview](#model-overview)
@@ -791,6 +792,8 @@ on NVIDIA T4 with (1x T4 16G) GPU.
 
 ### Changelog
 
+April 2023
+  - Ceased maintenance of ConvNets in TensorFlow1
 June 2020
    - Initial release
 August 2020

TensorFlow/Classification/ConvNets/se-resnext101-32x4d/README.md

@@ -1,6 +1,7 @@
 # SE-ResNext101-32x4d for TensorFlow
 
 This repository provides a script and recipe to train the SE-ResNext101-32x4d model to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
+SE-ResNext101-32x4d model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 * [Model overview](#model-overview)
@@ -784,6 +785,8 @@ on NVIDIA T4 with (1x T4 16G) GPU.
 
 ### Changelog
 
+April 2023
+  - Ceased maintenance of ConvNets in TensorFlow1
 April 2020
    - Initial release
 August 2020

TensorFlow/Detection/SSD/README.md

@@ -1,6 +1,7 @@
 # SSD320 v1.2 For TensorFlow
 
 This repository provides a script and recipe to train SSD320 v1.2 to achieve state of the art accuracy, and is tested and maintained by NVIDIA.
+SSD model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider a PyTorch version or EfficientDet TensorFlow2 model as a substitute for your requirements.
 
 ## Table Of Contents
 * [Model overview](#model-overview)
@@ -614,6 +615,9 @@ To achieve same results, follow the [Quick start guide](#quick-start-guide) outl
 
 ### Changelog
 
+April 2023
+ * Ceased maintenance of this model in TensorFlow1
+
 June 2020
  * Updated performance tables to include A100 results
 

TensorFlow/LanguageModeling/BERT/README.md

@@ -1,6 +1,7 @@
 # BERT For TensorFlow
 
 This repository provides a script and recipe to train the BERT model for TensorFlow to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
+BERT model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 
@@ -1201,6 +1202,10 @@ To achieve these same results, follow the [Quick Start Guide](#quick-start-guide
 ## Release notes
 
 ### Changelog
+
+April 2023
+- Ceased maintenance of this model in TensorFlow1
+
 June 2020
 - Results obtained using 20.06 and on DGX A100 40GB
 

TensorFlow/LanguageModeling/Transformer-XL/README.md

@@ -2,6 +2,7 @@
 
 This repository provides a script and recipe to train the Transformer-XL model
 to achieve state-of-the-art accuracy and is tested and maintained by NVIDIA.
+Transformer-XL model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider other PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 
@@ -1050,6 +1051,9 @@ To achieve these same results, follow the steps in the [Quick Start Guide](#quic
 
 ### Changelog
 
+April 2023
+ * Ceased maintenance of this model in TensorFlow1
+
 June 2020
  * upgrade the TensorFlow container to 20.06
  * update performance tables to include A100 results

TensorFlow/Recommendation/NCF/README.md

@@ -2,6 +2,7 @@
 
 This repository provides a script and recipe to train Neural Collaborative Filtering to achieve state of the art
 accuracy, and is tested and maintained by NVIDIA.
+NCF model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider DLRM and Wide & Deep models in TensorFlow2 as a substitute for your requirements.
 
 ## Table of Contents
 
@@ -519,6 +520,9 @@ FP16
 
 ### Changelog
 
+April 2023
+- Ceased maintenance of this model in TensorFlow1
+
 June 2020
 - Updated performance tables to include A100 results
 

TensorFlow/Recommendation/VAE-CF/README.md

@@ -1,6 +1,7 @@
 # Variational Autoencoder for Collaborative Filtering for TensorFlow
 
 This repository provides a script and recipe to train the Variational Autoencoder model for TensorFlow to achieve state-of-the-art accuracy on a Collaborative Filtering task and is tested and maintained by NVIDIA.
+VAE-CF model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider other PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 
@@ -447,6 +448,9 @@ FP16
 
 ### Changelog
 
+April 2023
+- Ceased maintenance of this model in TensorFlow1
+
 July 2020
 - Updated with Ampere convergence and performance results
 

TensorFlow/Recommendation/WideAndDeep/README.md

@@ -1,6 +1,7 @@
 # Wide & Deep Recommender Model Training For TensorFlow
 
 This repository provides a script and recipe to train the Wide and Deep Recommender model to achieve state-of-the-art accuracy and is tested and maintained by NVIDIA.
+Wide & Deep model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 
@@ -469,6 +470,9 @@ Our results were obtained by running the benchmark scripts from the `scripts` di
 
 ### Changelog
 
+April 2023
+- Ceased maintenance of this model in TensorFlow1
+
 November 2020
 - Updated performance tables to include numbers from 20.10-tf1-py3 NGC container
 

TensorFlow/Segmentation/MaskRCNN/README.md

@@ -1 +1,3 @@
 Both TensorFlow 1.x and TensorFlow 2.x versions of Mask-RCNN are located in [TensorFlow2/Segmentation/MaskRCNN folder](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN).
+Mask-RCNN model for TensorFlow1 is no longer maintained.
+

TensorFlow/Segmentation/UNet_3D_Medical/README.md

@@ -2,6 +2,7 @@
  
 This repository provides a script and recipe to train the 3D-UNet model to achieve state-of-the-art accuracy.
 The content of this repository is tested and maintained by NVIDIA.
+3D-UNet model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider other PyTorch or TensorFlow2 models as a substitute for your requirements.
  
 ## Table of Contents
  
@@ -593,6 +594,9 @@ To achieve these same results, follow the steps in the [Inference performance be
  
 ### Changelog
 
+April 2023
+* Ceased maintenance of this model in TensorFlow1
+
 November 2021
 * Updated README tables
  

TensorFlow/Segmentation/UNet_Industrial/README.md

@@ -2,6 +2,7 @@
 
 This repository provides a script and recipe to train UNet Industrial to achieve state of the art
 accuracy on the dataset DAGM2007, and is tested and maintained by NVIDIA.
+UNet model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider other PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 
 ## Table of Contents
@@ -519,6 +520,9 @@ To achieve these same results, follow the [Quick Start Guide](#quick-start-guide
 
 ### Changelog
 
+April 2023
+* Ceased maintenance of this model
+
 June 2020
 
 * Updated training and inference accuracy with A100 results

TensorFlow/Segmentation/UNet_Medical/README.md

@@ -1,6 +1,7 @@
 # UNet Medical Image Segmentation for TensorFlow 1.x
  
 This repository provides a script and recipe to train UNet Medical to achieve state of the art accuracy, and is tested and maintained by NVIDIA.
+UNet model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider other PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table of Contents
  
@@ -600,6 +601,9 @@ Throughput is reported in images per second. Latency is reported in milliseconds
  
 ### Changelog
 
+April 2023
+* Ceased maintenance of this model in TensorFlow1
+
 June 2020
 * Updated training and inference accuracy with A100 results
 * Updated training and inference performance with A100 results

TensorFlow/Segmentation/VNet/README.md

@@ -1,6 +1,7 @@
 # V-Net Medical For Tensorflow
 
-This repository provides a script and recipe to train the V-Net model to achieve state of the art accuracy, and is tested and maintained by NVIDIA. V-Net model for TensorFlow is no longer maintained and will soon become unavailable, please consider [UNet for 3D image segmentation in TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_3D_Medical) or [nnU-Net for PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) as a substitute for your requirements.
+This repository provides a script and recipe to train the V-Net model to achieve state of the art accuracy, and is tested and maintained by NVIDIA. 
+V-Net model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider [nnU-Net for PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) as a substitute for your requirements.
 
 ## Table of Contents
  

TensorFlow/Translation/GNMT/README.md

@@ -1,6 +1,7 @@
 # GNMT v2 For TensorFlow
 
 This repository provides a script and recipe to train the GNMT v2 model to achieve state-of-the-art accuracy and is tested and maintained by NVIDIA.
+GNMT model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider PyTorch or TensorFlow2 models as a substitute for your requirements.
 
 ## Table Of Contents
 - [Model overview](#model-overview)
@@ -828,6 +829,8 @@ Reported mixed precision speedups are relative to FP32 numbers for corresponding
   * Performance improvements
 3. June, 2020
   * Updated performance tables to include A100 results
+4. April 2023
+  * Ceased maintenance of this model in TensorFlow1
 
 ### Known issues
 There are no known issues in this release.