Using TensorFlow backend.
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [1], in <cell line: 27>()
     25 import tensorflow as tf
     26 import tensorflow_addons as tfa
---> 27 import keras
     28 from keras.models import Sequential
     29 from keras.layers import Dense, Dropout, Activation, Flatten

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/__init__.py:3, in <module>
      1 from __future__ import absolute_import
----> 3 from . import utils
      4 from . import activations
      5 from . import applications

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/utils/__init__.py:26, in <module>
     24 from .layer_utils import get_source_inputs
     25 from .layer_utils import print_summary
---> 26 from .vis_utils import model_to_dot
     27 from .vis_utils import plot_model
     28 from .np_utils import to_categorical

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/utils/vis_utils.py:7, in <module>
      4 from __future__ import print_function
      6 import os
----> 7 from ..models import Model
      8 from ..layers.wrappers import Wrapper
     10 # `pydot` is an optional dependency,
     11 # see `extras_require` in `setup.py`.

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/models.py:10, in <module>
      8 from .utils.generic_utils import has_arg
      9 from .utils.generic_utils import to_list
---> 10 from .engine.input_layer import Input
     11 from .engine.input_layer import InputLayer
     12 from .engine.training import Model

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/engine/__init__.py:3, in <module>
      1 # note: `Node` is an internal class,
      2 # it isn't meant to be used by Keras users.
----> 3 from .input_layer import Input
      4 from .input_layer import InputLayer
      5 from .base_layer import InputSpec

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/engine/input_layer.py:7, in <module>
      4 from __future__ import absolute_import
      5 from __future__ import division
----> 7 from .base_layer import Layer
      8 from .base_layer import Node
      9 from .. import backend as K

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/engine/base_layer.py:12, in <module>
      9 import threading
     11 from .. import backend as K
---> 12 from .. import initializers
     13 from ..utils.layer_utils import count_params
     14 from ..utils.generic_utils import has_arg

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/initializers/__init__.py:124, in <module>
    118   LOCAL.ALL_OBJECTS['zero'] = LOCAL.ALL_OBJECTS['zeros']
    121 # For backwards compatibility, we populate this file with the objects
    122 # from ALL_OBJECTS. We make no guarantees as to whether these objects will
    123 # using their correct version.
--> 124 populate_deserializable_objects()
    125 globals().update(LOCAL.ALL_OBJECTS)
    127 # Utility functions

File ~/anaconda3/envs/tf_gpu/lib/python3.8/site-packages/keras/initializers/__init__.py:49, in populate_deserializable_objects()
     46   return
     48 LOCAL.ALL_OBJECTS = {}
---> 49 LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
     51 # Compatibility aliases (need to exist in both V1 and V2).
     52 LOCAL.ALL_OBJECTS['ConstantV2'] = initializers_v2.Constant

AttributeError: module 'tensorflow.compat.v2' has no attribute '__internal__'