tensorflow: Can't import Layer from tensorflow.python.keras.engine.base_layer

I’m getting an error that says from tensorflow.python.keras.engine.base_layer import Layer while importing tensorflow in my app.

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOS
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): 1.15.0
• Python version: 3.7

Describe the current behavior On packaging an app using tensorflow with py2app, I get the following error while running the app:

File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/__init__.py", line 36, in <module>
    from tensorflow._api.v1 import compat
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/_api/v1/compat/__init__.py", line 23, in <module>
    from tensorflow._api.v1.compat import v1
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/_api/v1/compat/v1/__init__.py", line 40, in <module>
    from tensorflow._api.v1.compat.v1 import experimental
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/_api/v1/compat/v1/experimental/__init__.py", line 11, in <module>
    from tensorflow.python.ops.control_flow_v2_toggles import output_all_intermediates
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/ops/control_flow_v2_toggles.py", line 24, in <module>
    from tensorflow.python.ops import control_flow_util_v2
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/ops/control_flow_util_v2.py", line 28, in <module>
    from tensorflow.python.keras.engine import base_layer_utils
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/__init__.py", line 27, in <module>
    from tensorflow.python.keras import applications
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/applications/__init__.py", line 25, in <module>
    from tensorflow.python.keras import engine
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/engine/__init__.py", line 23, in <module>
    from tensorflow.python.keras.engine.base_layer import Layer
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/engine/base_layer.py", line 58, in <module>
    from tensorflow.python.keras.saving.saved_model import save as saved_model
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/saving/saved_model/save.py", line 30, in <module>
    from tensorflow.python.keras.saving import saving_utils
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/saving/__init__.py", line 33, in <module>
    from tensorflow.python.keras.saving.saved_model_experimental import export_saved_model
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/saving/saved_model_experimental.py", line 30, in <module>
    from tensorflow.python.keras.utils import mode_keys
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/utils/__init__.py", line 38, in <module>
    from tensorflow.python.keras.utils.multi_gpu_utils import multi_gpu_model
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/utils/multi_gpu_utils.py", line 22, in <module>
    from tensorflow.python.keras.engine.training import Model
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/engine/training.py", line 42, in <module>
    from tensorflow.python.keras import metrics as metrics_module
  File "/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/metrics.py", line 34, in <module>
    from tensorflow.python.keras.engine.base_layer import Layer
ImportError: cannot import name 'Layer' from 'tensorflow.python.keras.engine.base_layer' (/Users/harshitdwivedi/Desktop/aftershootscripts/dist/aftershoot.app/Contents/Resources/lib/python3.7/tensorflow_core/python/keras/engine/base_layer.py)

Describe the expected behavior The packaged app should work as expected.

Code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem.

import tensorflow as tf

self.model_path = r"{}".format(
            pathlib.Path(os.getcwd()).joinpath('model'))
        self.session = tf.Session(graph=tf.Graph())
        tf.saved_model.loader.load(self.session, ['serve'], self.model_path)

here’s the setup.py that I’ve used with py2app:

"""
This is a setup.py script generated by py2applet

Usage:
    python setup.py py2app
"""

from setuptools import setup

APP = ['aftershoot.py']
DATA_FILES = []
OPTIONS = {
        'packages' : ['PySide2', 'shiboken2', 'tensorflow_core', 'astor'],
        'resources' : ['exposure/']
        # 'optimize' : 1,
        }

setup(
    app=APP,
    data_files=DATA_FILES,
    options={'py2app': OPTIONS},
    setup_requires=['py2app']
)