Fix python autogen.py make (#1148)

* Fix `python scripts/autogen.py make`

+ multi_label_classification.md - Fix non-ascii character
+ requirements.txt - unpin the bugfix version of tensorflow and black
  + Black 22.3.1 doesn't exist
  + This will automatically pick up patch versions
  + Remove \r characters
+ master.py - Fix broken references

* ran python autogen.py make

* use

Author: MarkDaoust

examples/nlp/md/multi_label_classification.md

@@ -6,7 +6,7 @@
 **Description:** Implementing a large-scale multi-label text classification model.
 
 
-<img class="k-inline-icon" src="https://colab.research.google.com/img/colab_favicon.ico"/> [**View in Colab**](https://colab.research.google.com/github/keras-team\keras-io\blob\master\examples\nlp/ipynb/multi_label_classification.ipynb)  <span class="k-dot">•</span><img class="k-inline-icon" src="https://github.com/favicon.ico"/> [**GitHub source**](https://github.com/keras-team\keras-io\blob\master\examples\nlp/multi_label_classification.py)
+<img class="k-inline-icon" src="https://colab.research.google.com/img/colab_favicon.ico"/> [**View in Colab**](https://colab.research.google.com/github/keras-team\keras-io\blob\master\examples\nlp/ipynb/multi_label_classification.ipynb)  <span class="k-dot">•</span><img class="k-inline-icon" src="https://github.com/favicon.ico"/> [**GitHub source**](https://github.com/keras-team\keras-io\blob\master\examples\nlp/multi_label_classification.py)
 
 
 

requirements.txt

@@ -1,16 +1,15 @@
-black==22.3.1
-pygments>=2.7.4
-markdown>=3.3
-matplotlib
-jinja2
-requests
-mdx_truly_sane_lists
-pathlib
-PyYAML
-pandas
-jupyter
-tensorflow==2.11.0
-tensorflow_datasets
-keras-tuner
-keras-cv
-keras-nlp
+black~=22.3.0
+pygments>=2.7.4
+markdown>=3.3
+matplotlib
+jinja2
+requests
+mdx_truly_sane_lists
+PyYAML
+pandas
+jupyter
+tensorflow~=2.11.0
+tensorflow_datasets
+keras-tuner
+keras-cv
+keras-nlp

scripts/master.py

@@ -55,8 +55,6 @@
                     "toc": True,
                     "generate": [
                         "tensorflow.keras.optimizers.Optimizer.apply_gradients",
-                        "tensorflow.keras.optimizers.Optimizer.weights",
-                        "tensorflow.keras.optimizers.Optimizer.get_weights",
                         "tensorflow.keras.optimizers.Optimizer.set_weights",
                     ],
                     "children": [
@@ -78,7 +76,7 @@
                         {
                             "path": "adamw",
                             "title": "AdamW",
-                            "generate": ["tensorflow.keras.optimizers.AdamW"],
+                            "generate": ["tensorflow.keras.optimizers.experimental.AdamW"],
                         },
                         {
                             "path": "adadelta",
@@ -98,7 +96,7 @@
                         {
                             "path": "adafactor",
                             "title": "Adafactor",
-                            "generate": ["tensorflow.keras.optimizers.Adafactor"],
+                            "generate": ["tensorflow.keras.optimizers.experimental.Adafactor"],
                         },
                         {
                             "path": "Nadam",