Merge branch 'master' into master

Author: eslam69

.github/workflows/bot-label-lgtm.yaml

@@ -9,3 +9,6 @@
 
 # Community
 /site/en/community/ @ewilderj @theadactyl @joanafilipa
+
+# Hub
+/site/en/hub @gustheman

.github/workflows/bot-nightly.yaml

@@ -201,3 +201,28 @@ Copyright 2018 The TensorFlow Authors.  All rights reserved.
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.
+
+
+---------------------------
+
+Where indicated, some files are also distributed under the MIT License:
+
+MIT License
+
+Permission is hereby granted, free of charge, to any person obtaining a
+copy of this software and associated documentation files (the "Software"),
+to deal in the Software without restriction, including without limitation
+the rights to use, copy, modify, merge, publish, distribute, sublicense,
+and/or sell copies of the Software, and to permit persons to whom the
+Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.

.github/workflows/bot-pr-fix.yaml

@@ -14,13 +14,30 @@
 # ==============================================================================
 """tensorflow_docs is a package for generating python api-reference docs."""
 
+import datetime
+import subprocess
 import sys
 
 from setuptools import find_packages
 from setuptools import setup
 
 project_name = 'tensorflow-docs'
-version = '0.0.0.dev0'
+
+
+def get_version() -> str:
+  ts = int(
+      subprocess.check_output(['git', 'log', '-1', '--format=%ct', 'tools'])
+      .decode('utf-8')
+      .strip()
+  )
+  dt = datetime.datetime.utcfromtimestamp(ts)
+  sec = 60 * 60 * dt.hour + 60 * dt.minute + dt.second
+
+  # calver.org
+  return f'{dt.year}.{dt.month}.{dt.day}.{sec}'
+
+
+version = get_version()
 
 DOCLINES = __doc__.split('\n')
 
@@ -33,10 +50,6 @@
     'pyyaml',
 ]
 
-# Dataclasses is in-built from py >=3.7. This version is a backport for py 3.6.
-if (sys.version_info.major, sys.version_info.minor) == (3, 6):
-  REQUIRED_PKGS.append('dataclasses')
-
 VIS_REQUIRE = [
     'numpy',
     'PILLOW',
@@ -46,6 +59,7 @@
 # https://setuptools.readthedocs.io/en/latest/setuptools.html#new-and-changed-setup-keywords
 setup(
     name=project_name,
+    python_requires='>=3.9',
     version=version,
     description=DOCLINES[0],
     long_description='\n'.join(DOCLINES[2:]),

CODEOWNERS

@@ -39,7 +39,7 @@ tensorflow.org project | GitHub docs location
 [/ranking](https://www.tensorflow.org/ranking) | https://github.com/tensorflow/ranking/tree/master/docs
 [/recommenders](https://www.tensorflow.org/recommenders) | https://github.com/tensorflow/recommenders/tree/main/docs
 [/responsible_ai/fairness_indicators](https://www.tensorflow.org/responsible_ai/fairness_indicators/guide) | https://github.com/tensorflow/fairness-indicators/tree/master/g3doc
-[/responsible_ai/model_card_toolkit](https://www.tensorflow.org/responsible_ai/model_card_toolkit/guide) | https://github.com/tensorflow/model-card-toolkit/tree/master/model_card_toolkit/documentation
+[/responsible_ai/model_card_toolkit](https://www.tensorflow.org/responsible_ai/model_card_toolkit/guide) | https://github.com/tensorflow/model-card-toolkit/tree/main/model_card_toolkit/documentation
 [/responsible_ai/model_remediation](https://www.tensorflow.org/responsible_ai/model_remediation) | https://github.com/tensorflow/model-remediation/tree/master/docs
 [/responsible_ai/privacy](https://www.tensorflow.org/responsible_ai/privacy/guide) | https://github.com/tensorflow/privacy/tree/master/g3doc
 [/tensorboard](https://www.tensorflow.org/tensorboard) | https://github.com/tensorflow/tensorboard/tree/master/docs

LICENSE

@@ -55,7 +55,7 @@ must demonstrate:
     application area)
 *   Two or more contributors willing to act as group leads, existence of other
     contributors, and evidence of demand for the group
-*   Resources it will initially require (usually, mailing list and regular VC
+*   Resources it will initially require (usually, mailing list and regular video conference 
     call.) 
 
 Approval for the group will be given by a decision of the TF Community Team,

setup.py

@@ -19,6 +19,8 @@ toc:
   path: /guide/basic_training_loops
 
 - heading: "Keras"
+- title: "Overview"
+  path: /guide/keras
 - include: /guide/keras/_toc.yaml
 
 - heading: "Build with Core"
@@ -53,6 +55,9 @@ toc:
 - title: "NumPy API"
   status: experimental
   path: /guide/tf_numpy
+- title: "NumPy API Type Promotion"
+  status: nightly
+  path: /guide/tf_numpy_type_promotion
 - title: "DTensor concepts"
   path: /guide/dtensor_overview
   status: experimental
@@ -74,11 +79,14 @@ toc:
 - title: "Analyze pipeline performance"
   path: /guide/data_performance_analysis
 
-- heading: "Save a model"
+- heading: "Import and export"
 - title: "Checkpoint"
   path: /guide/checkpoint
 - title: "SavedModel"
   path: /guide/saved_model
+- title: "Import a JAX model using JAX2TF"
+  status: new
+  path: /guide/jax2tf
 
 - heading: "Accelerators"
 - title: "Distributed training"

site/en/README.md

@@ -784,7 +784,7 @@
         "id": "7EWyDu3zot2w"
       },
       "source": [
-        "Write a basic training loop for the model. The loop will make use of the MSE loss function and its gradients with respect to the input in order to iteratively update the model's parameters. Using mini-batches for training provides both memory efficienciy and faster convergence. The `tf.data.Dataset` API has useful functions for batching and shuffling."
+        "Write a basic training loop for the model. The loop will make use of the MSE loss function and its gradients with respect to the input in order to iteratively update the model's parameters. Using mini-batches for training provides both memory efficiency and faster convergence. The `tf.data.Dataset` API has useful functions for batching and shuffling."
       ]
     },
     {
@@ -956,7 +956,6 @@
     "colab": {
       "collapsed_sections": [],
       "name": "basics.ipynb",
-      "provenance": [],
       "toc_visible": true
     },
     "kernelspec": {