Fix coverage

.travis.yml

@@ -1,12 +1,12 @@
 dist: xenial
 language: python
-python:
-  - 3.6
+python: "3.6"
 env:
-  - KERAS_BACKEND=tensorflow TF_KERAS=1 TF_2=1
-  - KERAS_BACKEND=tensorflow TF_KERAS=1 TF_EAGER=1
-  - KERAS_BACKEND=tensorflow TF_KERAS=1
-  - KERAS_BACKEND=tensorflow
+  global:
+    - COVERALLS_PARALLEL=true
+  matrix:
+    - KERAS_BACKEND=tensorflow
+    - KERAS_BACKEND=tensorflow TF_KERAS=1
 install:
   - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
   - bash miniconda.sh -b -p $HOME/miniconda
@@ -20,9 +20,10 @@ install:
   - pip install --upgrade pip
   - pip install -r requirements.txt
   - pip install -r requirements-dev.txt
-  - if [[ $TF_2 == "1" ]]; then pip install tensorflow==2.0.0-beta1; fi
   - pip install coveralls
 script:
   - ./test.sh
 after_success:
   coveralls
+notifications:
+  webhooks: https://coveralls.io/webhook

keras_trans_mask/__init__.py

@@ -1 +1,3 @@
 from .masks import *
+
+__version__ = '0.4.0'

keras_trans_mask/backend.py

@@ -1,25 +1,17 @@
 import os
+from distutils.util import strtobool
 
 __all__ = [
-    'keras', 'utils', 'activations', 'applications', 'backend', 'datasets', 'engine',
+    'keras', 'utils', 'activations', 'applications', 'backend', 'datasets',
     'layers', 'preprocessing', 'wrappers', 'callbacks', 'constraints', 'initializers',
-    'metrics', 'models', 'losses', 'optimizers', 'regularizers', 'TF_KERAS', 'EAGER_MODE'
+    'metrics', 'models', 'losses', 'optimizers', 'regularizers', 'TF_KERAS',
 ]
 
-TF_KERAS = False
-EAGER_MODE = False
+TF_KERAS = strtobool(os.environ.get('TF_KERAS', '0'))
 
-if os.environ.get('TF_KERAS', '0') != '0':
+if TF_KERAS:
     import tensorflow as tf
-    from tensorflow.python import keras
-    TF_KERAS = True
-    if os.environ.get('TF_EAGER', '0') != '0':
-        try:
-            tf.enable_eager_execution()
-            raise AttributeError()
-        except AttributeError as e:
-            pass
-    EAGER_MODE = tf.executing_eagerly()
+    keras = tf.keras
 else:
     import keras
 
@@ -28,7 +20,6 @@
 applications = keras.applications
 backend = keras.backend
 datasets = keras.datasets
-engine = keras.engine
 layers = keras.layers
 preprocessing = keras.preprocessing
 wrappers = keras.wrappers

keras_trans_mask/masks.py

@@ -56,7 +56,7 @@ def compute_mask(self, inputs, mask=None):
         return None
 
     def call(self, inputs, **kwargs):
-        return K.identity(inputs)
+        return inputs + 0.0
 
 
 class RestoreMask(keras.layers.Layer):
@@ -81,4 +81,4 @@ def compute_mask(self, inputs, mask=None):
         return mask[1]
 
     def call(self, inputs, **kwargs):
-        return K.identity(inputs[0])
+        return inputs[0] + 0.0

setup.py

@@ -1,30 +1,43 @@
+import os
+import re
 import codecs
 from setuptools import setup, find_packages
 
+current_path = os.path.abspath(os.path.dirname(__file__))
 
-with codecs.open('README.md', 'r', 'utf8') as reader:
-    long_description = reader.read()
 
+def read_file(*parts):
+    with codecs.open(os.path.join(current_path, *parts), 'r', 'utf8') as reader:
+        return reader.read()
 
-with codecs.open('requirements.txt', 'r', 'utf8') as reader:
-    install_requires = list(map(lambda x: x.strip(), reader.readlines()))
+
+def get_requirements(*parts):
+    with codecs.open(os.path.join(current_path, *parts), 'r', 'utf8') as reader:
+        return list(map(lambda x: x.strip(), reader.readlines()))
+
+
+def find_version(*file_paths):
+    version_file = read_file(*file_paths)
+    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
+    if version_match:
+        return version_match.group(1)
+    raise RuntimeError('Unable to find version string.')
 
 
 setup(
     name='keras-trans-mask',
-    version='0.3.0',
+    version=find_version('keras_trans_mask', '__init__.py'),
     packages=find_packages(),
     url='https://github.com/CyberZHG/keras-trans-mask',
     license='MIT',
     author='CyberZHG',
     author_email='CyberZHG@users.noreply.github.com',
     description='Transfer masking in Keras',
-    long_description=long_description,
+    long_description=read_file('README.md'),
     long_description_content_type='text/markdown',
-    install_requires=install_requires,
+    install_requires=get_requirements('requirements.txt'),
     classifiers=(
-        "Programming Language :: Python :: 2.7",
-        "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3",
         "License :: OSI Approved :: MIT License",
         "Operating System :: OS Independent",
     ),

tests/test_masks.py

@@ -1,4 +1,6 @@
 from unittest import TestCase
+import os
+import tempfile
 
 import numpy as np
 
@@ -33,4 +35,11 @@ def test_over_fit(self):
             [6, 7, 8, 9, 9, 9, 9, 9],
         ] * 1024)
         y = np.array([[0], [1]] * 1024)
+        model_path = os.path.join(tempfile.gettempdir(), 'test_trans_mask_%f.h5' % np.random.random())
+        model.save(model_path)
+        model = keras.models.load_model(model_path, custom_objects={
+            'CreateMask': CreateMask,
+            'RemoveMask': RemoveMask,
+            'RestoreMask': RestoreMask,
+        })
         model.fit(x, y, epochs=10)