TypeError: _logger_find_caller() takes from 0 to 1 positional arguments but 2 were given - tensorflow

Question

I'm trying to run a baseline model which can be found here: https://github.com/gniknoil/FG2020-kinship/tree/master/Track1
here is the code:
def baseline_model():
input_1 = Input(shape=(224, 224, 3))
input_2 = Input(shape=(224, 224, 3))
base_model = VGGFace(model='resnet50', include_top=False)
for x in base_model.layers[:-3]:
x.trainable = True
x1 = base_model(input_1)
x2 = base_model(input_2)
x1=GlobalMaxPool2D()(x1)
x2=GlobalAvgPool2D()(x2)
x3 = Subtract()([x1, x2])
x3 = Multiply()([x3, x3])
x1_ = Multiply()([x1, x1])
x2_ = Multiply()([x2, x2])
x4 = Subtract()([x1_, x2_])
x5 = Multiply()([x1, x2])
x = Concatenate(axis=-1)([x3, x4, x5])
# x = Dense(512, activation="relu")(x)
# x = Dropout(0.03)(x)
x = Dense(128, activation="relu")(x)
x = Dropout(0.02)(x)
out = Dense(1, activation="sigmoid")(x)
model = Model([input_1, input_2], out)
model.compile(loss="binary_crossentropy", metrics=['acc'], optimizer=adamv2.Adam(0.00001))
#model.compile(loss=[focal_loss(alpha=.25, gamma=2)], metrics=['acc'], optimizer=Adam(0.00003))
#model.compile(loss=[focal_loss(alpha=.25, gamma=2)], metrics=['acc'], optimizer=Adam(0.00001))
model.summary()
return model
I got the error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/var/folders/1x/xq_p1_3x2wj0drhvr109gkfh0000gn/T/ipykernel_7112/1473799896.py in <module>
----> 1 model = baseline_model()
/var/folders/1x/xq_p1_3x2wj0drhvr109gkfh0000gn/T/ipykernel_7112/726929419.py in baseline_model()
31
32 def baseline_model():
---> 33 input_1 = Input(shape=(224, 224, 3))
34 input_2 = Input(shape=(224, 224, 3))
35
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/keras/engine/input_layer.py in Input(shape, batch_shape, name, dtype, sparse, tensor)
173 if not dtype:
174 dtype = K.floatx()
--> 175 input_layer = InputLayer(batch_input_shape=batch_shape,
176 name=name, dtype=dtype,
177 sparse=sparse,
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your `' + object_name + '` call to the ' +
90 'Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/keras/engine/input_layer.py in __init__(self, input_shape, batch_size, batch_input_shape, dtype, input_tensor, sparse, name)
37 if not name:
38 prefix = 'input'
---> 39 name = prefix + '_' + str(K.get_uid(prefix))
40 super(InputLayer, self).__init__(dtype=dtype, name=name)
41
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/keras/backend/tensorflow_backend.py in get_uid(prefix)
72 """
73 global _GRAPH_UID_DICTS
---> 74 graph = tf.get_default_graph()
75 if graph not in _GRAPH_UID_DICTS:
76 _GRAPH_UID_DICTS[graph] = defaultdict(int)
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/tensorflow/python/util/deprecation_wrapper.py in __getattr__(self, name)
115 call_location = _call_location()
116 if not call_location.startswith('<'): # skip locations in Python source
--> 117 logging.warning(
118 'From %s: The name %s is deprecated. Please use %s instead.\n',
119 _call_location(), full_name, rename)
~/opt/anaconda3/envs/env-kinship/lib/python3.8/site-packages/tensorflow/python/platform/tf_logging.py in warning(msg, *args, **kwargs)
164 #tf_export(v1=["logging.error"])
165 def error(msg, *args, **kwargs):
--> 166 get_logger().error(msg, *args, **kwargs)
167
168
~/opt/anaconda3/envs/env-kinship/lib/python3.8/logging/__init__.py in warning(self, msg, *args, **kwargs)
1456 """
1457 if self.isEnabledFor(WARNING):
-> 1458 self._log(WARNING, msg, args, **kwargs)
1459
1460 def warn(self, msg, *args, **kwargs):
~/opt/anaconda3/envs/env-kinship/lib/python3.8/logging/__init__.py in _log(self, level, msg, args, exc_info, extra, stack_info, stacklevel)
1575 #IronPython can use logging.
1576 try:
-> 1577 fn, lno, func, sinfo = self.findCaller(stack_info, stacklevel)
1578 except ValueError: # pragma: no cover
1579 fn, lno, func = "(unknown file)", 0, "(unknown function)"
TypeError: _logger_find_caller() takes from 0 to 1 positional arguments but 2 were given
How can I fix this?
My Keras version is 2.2.4
My tensor flow version is 1.14.0
I'm using python 3.8.1 and an anaconda environment.
And I have tried the solution here: https://medium.com/the-rising-tilde/typeerror-logger-find-caller-takes-from-0-to-1-positional-arguments-but-2-were-given-cb24b74a6125
which doesn't work

Answer 1

You are using Tensorflow 1.14 with python 3.8 which is not compatible as mentioned in this doc.
Please upgrade the Tensorflow version as per installed python version 3.8 in your system which will be Tensorflow >= 2.2 and try again executing the same code.
!pip install --upgrade tensorflow