faceswap error regularizers is not defined

[Alkatraz91]

hello i got this error an not understand what it means

NameError Traceback (most recent call last)
in ()
----> 1 model = FaceswapGANModel(**arch_config)

2 frames
/content/faceswap-GAN/networks/nn_blocks.py in conv_block(input_tensor, f, use_norm, strides, w_l2, norm)
126 def conv_block(input_tensor, f, use_norm=False, strides=2, w_l2=w_l2, norm='none'):
127 x = input_tensor
--> 128 x = Conv2D(f, kernel_size=3, strides=strides, kernel_regularizer=regularizers.l2(w_l2),
129 kernel_initializer=conv_init, use_bias=False, padding="same")(x)
130 x = Activation("relu")(x)

NameError: name 'regularizers' is not defined

[arslanpi]

Create a new cell and write the following code
from keras import regularizers
It will solve issue. If it doesn't then write the same code in /networks/nn_blocks.py file

[Alkatraz91]

i not know were t oadd that line. today i w trying again but i got a different error:
NameError Traceback (most recent call last)
in ()
----> 1 model = FaceswapGANModel(**arch_config)

2 frames
/content/faceswap-GAN/networks/nn_blocks.py in conv_block(input_tensor, f, use_norm, strides, w_l2, norm)
126 def conv_block(input_tensor, f, use_norm=False, strides=2, w_l2=w_l2, norm='none'):
127 x = input_tensor
--> 128 x = Conv2D(f, kernel_size=3, strides=strides, kernel_regularizer=regularizers.l2(w_l2),
129 kernel_initializer=conv_init, use_bias=False, padding="same")(x)
130 x = Activation("relu")(x)

NameError: name 'regularizers' is not defined

after the code :model = FaceswapGANModel(**arch_config)

i hav put the code u gave me right before that code but still nothing.i not know how to do the second method.
edit: i think i hve done the second method too but still got the same error not know wht to do

[interactivetech]

I am able to get the colab notebook to see the from keras import regularizers by restarting the runtime. Not the best solution but after restarting, the colab sees the new import

[wiki-lai]

make sure you are using tensorflow1.8.0 and install tensorflow-gpu1.8.0 , and downgrade cuda to 9.0 .

[CL791]

downgrade keras