Add Python 3.12 support and add better error msg for missing tf_keras

With TF 2.16, users of TFP-on-TF must install `tf-keras` in addition to `tensorflow` -- so this change adds a custom error message if `tf-keras` (or `tf-keras-nightly`) is not installed.

PiperOrigin-RevId: 614280621

.github/workflows/continuous-integration.yml

@@ -20,7 +20,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.9]
+        python-version: [3.12]
     steps:
       - name: Checkout
         uses: actions/checkout@v1
@@ -38,7 +38,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.9]
+        python-version: [3.12]
         shard: [0, 1, 2, 3, 4]
     env:
       SHARD: ${{ matrix.shard }}

setup.py

@@ -48,6 +48,13 @@
 else:
   TFDS_PACKAGE = 'tfds-nightly'
 
+if release:
+  TF_PACKAGE = 'tensorflow >= 2.15'
+  KERAS_PACKAGE = 'tf-keras >= 2.15'
+else:
+  TF_PACKAGE = 'tf-nightly'
+  KERAS_PACKAGE = 'tf-keras-nightly'
+
 
 class BinaryDistribution(Distribution):
   """This class is needed in order to create OS specific wheels."""
@@ -91,6 +98,7 @@ def has_ext_modules(self):
         'Programming Language :: Python :: 3.9',
         'Programming Language :: Python :: 3.10',
         'Programming Language :: Python :: 3.11',
+        'Programming Language :: Python :: 3.12',
         'Topic :: Scientific/Engineering',
         'Topic :: Scientific/Engineering :: Mathematics',
         'Topic :: Scientific/Engineering :: Artificial Intelligence',
@@ -101,6 +109,7 @@ def has_ext_modules(self):
     keywords='tensorflow probability statistics bayesian machine learning',
     extras_require={  # e.g. `pip install tfp-nightly[jax]`
         'jax': ['jax', 'jaxlib'],
+        'tf': [TF_PACKAGE, KERAS_PACKAGE],
         'tfds': [TFDS_PACKAGE],
     }
 )

tensorflow_probability/python/__init__.py

@@ -35,7 +35,7 @@ def _validate_tf_environment(package):
       inadequate.
   """
   try:
-    import tensorflow.compat.v1 as tf
+    import tensorflow as tf
   except (ImportError, ModuleNotFoundError):
     # Print more informative error message, then reraise.
     print('\n\nFailed to import TensorFlow. Please note that TensorFlow is not '
@@ -51,7 +51,7 @@ def _validate_tf_environment(package):
   #
   # Update this whenever we need to depend on a newer TensorFlow release.
   #
-  required_tensorflow_version = '2.14'
+  required_tensorflow_version = '2.15'
 #   required_tensorflow_version = '1.15'  # Needed internally -- DisableOnExport
 
   if (distutils.version.LooseVersion(tf.__version__) <
@@ -74,6 +74,18 @@ def _validate_tf_environment(package):
         'For more detail, see https://github.com/tensorflow/community/pull/287.'
         )
 
+  if required_tensorflow_version[0] == '2':
+    try:
+      import tf_keras  # pylint: disable=unused-import
+    except (ImportError, ModuleNotFoundError):
+      # Print more informative error message, then reraise.
+      print('\n\nFailed to import TF-Keras. Please note that TF-Keras is not '
+            'installed by default when you install TensorFlow Probability. '
+            'This is so that JAX-only users do not have to install TensorFlow '
+            'or TF-Keras. To use TensorFlow Probability with TensorFlow, '
+            'please install the tf-keras or tf-keras-nightly package.\n\n')
+      raise
+
 
 # Declare these explicitly to appease pytype, which otherwise misses them,
 # presumably due to lazy loading.