CODEWITHSUNDEEP
pythontensorflow2.0
user11173832
user11173832

Reputation:

TypeError: __init__() got multiple values for argument 'kernel_size' error occured in tensorflow 2.0

#vgg16
class  VGGBase(Model):
    def __init__(self):
        super(VGGBase,self).__init__()
        self.conv1_1 = tf.keras.layers.Conv2D(3,64, kernel_size=3,padding=1,strides=1),
        self.conv1_2 = tf.keras.layers.Conv2D(64,64, kernel_size=3, padding=1,strides=1),
        self.pool1 = tf.keras.layers.MaxPool2D(2,2),

        self.conv2_1  =  tf.keras.layers.Conv2D(64,128, kernel_size=3, padding=1,strides= 1),
        self.conv2_2 = tf.keras.layers.Conv2D(128,128, kernel_size=3,padding=1,strides= 1),
        self.pool2 = tf.keras.layers.MaxPool2D(2,2),
 def call(self,x):
        x = relu(self.conv1_1(x))
        x = relu(self.conv1_2(x))
        x = relu(self.pool1(x))

        x = relu(self.conv2_1(x))
        x = relu(self.conv2_2(x))
        x = relu(self.pool2(x))

This is tensrflow 2.0 and got the error of got multiple values for argument 'kernel_size"

File "/home/jake/Gits/ssd_tensorflow/model.py", line 10, in init self.conv1_1 = tf.keras.layers.Conv2D(3,64, kernel_size=3,padding=1,strides=1,input_shape=input_shape), TypeError: init() got multiple values for argument 'kernel_size'

Upvotes: 0

Views: 1488

Answers (1)

tdelaney
tdelaney

Reputation: 77407

The call signature for Conv2D is long, but starts with Conv2d(filter, kernel_size, ...). You called it with two positional arguments filling in filter and kernel_size and then tried to set kernel_size=3. Since kernel_size was already filled with a positional argument, you got the error.

Kernel size should be a two element tuple. You may have meant

self.conv1_1 = tf.keras.layers.Conv2D(64, kernel_size=(3,3), padding=1, strides=1),

As an aside, self.conv1_1 will be a 1 element tuple, which may be what you want. Otherwise, remove that ending comma.

Upvotes: 1

Related Questions