Error with Cats and Dog Convolutional Network: model.fit_generator - tensorflow

Question

I'm using a PDF to build my first Convolutional Nerual Network using cats and dogs and am encountering a consistent error. The text is: WARNING:tensorflow:sample_weight modes were
coerced from
...
to
['...']
WARNING:tensorflow:sample_weight modes were coerced from
...
to
['...']
The relevant code is pasted in two sections below. Any help would be appreciated because I'm hitting a wall in regards to this.
This top bit is working but may be relevant:
#Build the network
#Import needed layers and models from tensorflow.keras
import tensorflow as tf
from tensorflow.keras.layers import Dense, Activation, Flatten, Conv2D, MaxPooling2D, Dropout
from tensorflow.keras.models import Sequential
#Build model--Use sequential value--Most common
model = models.Sequential()
#Input layer
model.add(layers.Conv2D(32, (3,3), activation = 'relu',
input_shape = (150, 150, 3)))
model.add(layers.MaxPooling2D(2,2))
#First hidden layer
model.add(layers.Conv2D(64, (3,3), activation = 'relu'))
model.add(layers.MaxPooling2D(2,2))
#Second hidden layer
model.add(layers.Conv2D(128, (3,3), activation = 'relu'))
model.add(layers.MaxPooling2D(2,2))
#Third hidden layer
model.add(layers.Conv2D(128, (3,3), activation = 'relu'))
model.add(layers.MaxPooling2D(2,2))
#Fourth hidden layer
model.add(layers.Flatten())
model.add(layers.Dense(512, activation = 'relu'))
#Output layer
model.add(layers.Dense(1, activation = 'sigmoid'))
#
from tensorflow.keras import optimizers
#Compilation step
model.compile(loss = 'binary_crossentropy',
optimizer= 'adam',
metrics=['acc'])
#Read images from directories
from tensorflow.keras.preprocessing.image import ImageDataGenerator
train_datagen = ImageDataGenerator(rescale = 1./255)
test_datagen = ImageDataGenerator(rescale = 1./255)
train_generator = test_datagen.flow_from_directory(
train_dir,
target_size = (150, 150),
batch_size = 20,
class_mode = 'binary')
validation_generator = test_datagen.flow_from_directory(
validation_dir,
target_size = (150, 150),
batch_size = 20,
class_mode = 'binary')
Fit model with a batch generator
This part of the code is what causes the error
history = model.fit_generator(
train_generator,
steps_per_epoch = 100,
epochs = 30,
validation_data = validation_generator,
validation_steps = 50)
As a final note, this code is in Python 3 and uses the kagglecatsanddogs database from Microsoft

Answer 1

The below Warning is fixed in the Nightly Version of Tensorflow and will be included in the Next Stable Version, Tensorflow 2.2
WARNING:tensorflow:sample_weight modes were coerced from ... to
['...'] WARNING:tensorflow:sample_weight modes were coerced from ... to
['...']
Currently, to make if work, please install Tensorflow Nightly Version as shown below:
!pip install tf-nightly
For more details, please refer this Github Issue.