Training balloon.py ValueError: Expected a symbolic Tensors or a callable for the loss value. Please wrap your loss computation in a zero argument `lambda`.

[sanso62]

python==3.7.15 tensorflow==2.10.0 keras==2.10.0

".\Mask_RCNN\mrcnn\model.py"

        # Add L2 Regularization
        # Skip gamma and beta weights of batch normalization layers.
        reg_losses = [keras.regularizers.l2(self.config.WEIGHT_DECAY)(w) / tf.cast(tf.size(w), tf.float32)
                      for w in self.keras_model.trainable_weights
                      if 'gamma' not in w.name and 'beta' not in w.name]
        print(tf.add_n(reg_losses))
        self.keras_model.add_loss(tf.add_n(reg_losses))

Error occurred as below

  File ".\Mask_RCNN\mrcnn\model.py", line 2107, in co
mpile
    self.keras_model.add_loss(tf.add_n(reg_losses))
  File ".\anaconda3\envs\MaskRCNN\lib\site-packages\keras\engine\base_layer.py
", line 1488, in add_loss
    "Expected a symbolic Tensors or a callable for the loss value. "
ValueError: Expected a symbolic Tensors or a callable for the loss value. Please wrap your 
loss computation in a zero argument `lambda`.

Please anyone helps me

[schneiderjan]

Have you found a solution to this?

[travishsu]

self.keras_model.add_loss(lambda: tf.add_n(reg_losses))