update kt install

.github/workflows/publish.yml

@@ -17,6 +17,7 @@ jobs:
       run: |
         python -m pip install --upgrade pip setuptools
         pip install git+https://github.com/gabrieldemarmiesse/[email protected]
+        pip install git+https://github.com/keras-team/[email protected]
         pip install -e .[tests] --progress-bar off
         pip install twine
     - name: Lint

.github/workflows/tests.yml

@@ -17,6 +17,7 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip setuptools
+        pip install git+https://github.com/keras-team/[email protected]
         pip install -e .[tests] --progress-bar off
     - name: Test with pytest
       run: |
@@ -46,6 +47,7 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip setuptools
+          pip install git+https://github.com/keras-team/[email protected]
           pip install -e .
           pip install -r docs/requirements.txt
       - name: Build the docs

README.md

@@ -36,12 +36,13 @@ For detailed tutorial, please check [here](https://autokeras.com/tutorial/overvi
 To install the package, please use the `pip` installation as follows:
 
 ```shell
-pip3 install autokeras
+pip3 install git+https://github.com/keras-team/[email protected]
+pip3 install autokeras==1.0.3
 ```
 
 Please follow the [installation guide](https://autokeras.com/install) for more details.
 
-**Note:** Currently, AutoKeras is only compatible with **Python >= 3.5** and **TensorFlow >= 2.1.0**.
+**Note:** Currently, AutoKeras is only compatible with **Python >= 3.5** and **TensorFlow >= 2.2.0**.
 
 ## Community
 <p float="left">

autokeras/__init__.py

@@ -39,7 +39,10 @@
 from autokeras.tuners import Greedy
 from autokeras.tuners import Hyperband
 from autokeras.tuners import RandomSearch
+from autokeras.utils.utils import check_kt_version
 from autokeras.utils.utils import check_tf_version
 
-__version__ = '1.0.3rc0'
+__version__ = '1.0.3'
+
 check_tf_version()
+check_kt_version()

autokeras/utils/utils.py

@@ -1,6 +1,7 @@
 import json
 import re
 
+import kerastuner
 import tensorflow as tf
 from packaging.version import parse
 from tensorflow.python.util import nest
@@ -42,19 +43,31 @@ def to_type_key(dictionary, convert_func):
 
 
 def check_tf_version() -> None:
-    if parse(tf.__version__) < parse('2.1.0'):
+    if parse(tf.__version__) < parse('2.2.0'):
         raise ImportError(
-            'The Tensorflow package version needs to be at least v2.1.0 \n'
+            'The Tensorflow package version needs to be at least 2.2.0 \n'
             'for AutoKeras to run. Currently, your TensorFlow version is \n'
-            'v{version}. Please upgrade with \n'
-            '`$ pip install --upgrade tensorflow` -> GPU version \n'
-            'or \n'
-            '`$ pip install --upgrade tensorflow-cpu` -> CPU version. \n'
+            '{version}. Please upgrade with \n'
+            '`$ pip install --upgrade tensorflow`. \n'
             'You can use `pip freeze` to check afterwards that everything is '
             'ok.'.format(version=tf.__version__)
         )
 
 
+def check_kt_version() -> None:
+    if parse(kerastuner.__version__) < parse('1.0.2rc0'):
+        raise ImportError(
+            'The Keras Tuner package version needs to be at least 1.0.2rc0 \n'
+            'for AutoKeras to run. Currently, your Keras Tuner version is \n'
+            '{version}. Please upgrade with \n'
+            '`$ pip install '
+            'git+https://github.com/keras-team/[email protected]'
+            '#egg=keras-tuner-1.0.2rc0`. \n'
+            'You can use `pip freeze` to check afterwards that everything is '
+            'ok.'.format(version=kerastuner.__version__)
+        )
+
+
 def save_json(path, obj):
     obj = json.dumps(obj)
     with tf.io.gfile.GFile(path, 'w') as f:

docs/templates/install.md

@@ -4,7 +4,7 @@
 
 **Pip**: Follow the TensorFlow install steps to install Pip.
 
-**Tensorflow >= 2.1.0**: AutoKeras is based on TensorFlow.
+**Tensorflow >= 2.2.0**: AutoKeras is based on TensorFlow.
 Please follow
 [this tutorial](https://www.tensorflow.org/install/pip) to install TensorFlow for python3.
 
@@ -17,12 +17,14 @@ AutoKeras only support **Python 3**.
 If you followed previous steps to use virtualenv to install tensorflow,
 you can just activate the virtualenv and use the following command to install AutoKeras. 
 ```
-pip install autokeras
+pip install git+https://github.com/keras-team/[email protected]
+pip install autokeras==1.0.3
 ```
 
 If you did not use virtualenv, and you use `python3` command to execute your python program,
 please use the following command to install AutoKeras.
 ```
-python3 -m pip install autokeras
+python3 -m pip install git+https://github.com/keras-team/[email protected]
+python3 -m pip install autokeras==1.0.3
 ```
 

setup.py

@@ -8,15 +8,15 @@
 
 setup(
     name='autokeras',
-    version='1.0.3rc0',
+    version='1.0.3',
     description='AutoML for deep learning',
     package_data={'': ['README.md']},
     long_description=readme.read_text(encoding='utf-8'),
     long_description_content_type='text/markdown',
     author='Data Analytics at Texas A&M (DATA) Lab, Keras Team',
     author_email='[email protected]',
     url='http://autokeras.com',
-    download_url='https://github.com/keras-team/autokeras/archive/1.0.3rc0.tar.gz',
+    download_url='https://github.com/keras-team/autokeras/archive/1.0.3.tar.gz',
     keywords=['AutoML', 'Keras'],
     install_requires=[
         'packaging',
@@ -25,9 +25,6 @@
         'numpy',
         'pandas',
     ],
-    dependency_links=[
-        'https://github.com/keras-team/[email protected]#egg=keras-tuner-1.0.2rc0',
-    ],
     extras_require={
         'tests': ['pytest>=4.4.0',
                   'flake8',