Merge pull request #800 from MohamedNourArm:toupstream/pcqat_example_notebook

PiperOrigin-RevId: 394394607

Author: tensorflower-gardener

tensorflow_model_optimization/g3doc/_book.yaml

@@ -59,6 +59,8 @@ upper_tabs:
         path: /model_optimization/guide/combine/cqat_example
       - title: Sparsity preserving quantization
         path: /model_optimization/guide/combine/pqat_example
+      - title: Sparsity and cluster preserving quantization
+        path: /model_optimization/guide/combine/pcqat_example
       - title: Sparsity preserving clustering
         path: /model_optimization/guide/combine/sparse_clustering_example
 

tensorflow_model_optimization/g3doc/guide/combine/collaborative_optimization.md

@@ -30,12 +30,12 @@ clustering doesn't preserve the sparsity introduced by the pruning API. To solve
 this problem, we introduce the following experimental collaborative optimization
 techniques:
 
-*   [Sparsity preserving clustering](https://github.com/tensorflow/model-optimization/pull/520)
-*   [Sparsity preserving quantization aware training](https://github.com/tensorflow/model-optimization/pull/568)
+*   [Sparsity preserving clustering](https://www.tensorflow.org/model_optimization/guide/combine/sparse_clustering_example)
+*   [Sparsity preserving quantization aware training](https://www.tensorflow.org/model_optimization/guide/combine/pqat_example)
     (PQAT)
-*   [Cluster preserving quantization aware training](https://github.com/tensorflow/model-optimization/pull/617)
+*   [Cluster preserving quantization aware training](https://www.tensorflow.org/model_optimization/guide/combine/cqat_example)
     (CQAT)
-*   Sparsity and cluster preserving quantization aware training (PCQAT) - WIP
+*   [Sparsity and cluster preserving quantization aware training](https://www.tensorflow.org/model_optimization/guide/combine/pcqat_example)
 
 These provide several deployment paths that could be used to compress a machine
 learning model and to take advantage of hardware acceleration at inference time.
@@ -108,5 +108,11 @@ with PQAT and CQAT collaborative optimization paths.
 
 ## Examples
 
-End-to-end example of the different deployment paths will be added in the
-future.
+For end-to-end examples of the collaborative optimization techniques described
+here, please refer to the
+[CQAT](https://www.tensorflow.org/model_optimization/guide/combine/cqat_example),
+[PQAT](https://www.tensorflow.org/model_optimization/guide/combine/pqat_example),
+[sparsity-preserving clustering](https://www.tensorflow.org/model_optimization/guide/combine/sparse_clustering_example),
+and
+[PCQAT](https://www.tensorflow.org/model_optimization/guide/combine/pcqat_example)
+example notebooks.