No gradients provided for any variable: {variable}

[Dirtyboy1029]

Traceback (most recent call last):
File "test_cade.py", line 66, in
cae.train(train_dataX_np, y_train, cae_lambda_1, cae_batch_size, cae_epochs, cae_similar_ratio, cae_margin,
File "/home/lhd/uncertainity_malware/OOD/cade/autoencoder.py", line 315, in train
train_op = self.optimizer.minimize(loss=lambda: loss, var_list=tf.compat.v1.trainable_variables())
File "/home/lhd/.local/lib/python3.8/site-packages/keras/optimizers/optimizer_v2/optimizer_v2.py", line 539, in minimize
return self.apply_gradients(grads_and_vars, name=name)
File "/home/lhd/.local/lib/python3.8/site-packages/keras/optimizers/optimizer_v2/optimizer_v2.py", line 640, in apply_gradients
grads_and_vars = optimizer_utils.filter_empty_gradients(grads_and_vars)
File "/home/lhd/.local/lib/python3.8/site-packages/keras/optimizers/optimizer_v2/utils.py", line 73, in filter_empty_gradients
raise ValueError(f"No gradients provided for any variable: {variable}. "
ValueError: No gradients provided for any variable: (['encoder_0/kernel:0', 'encoder_0/bias:0', 'encoder_1/kernel:0', 'encoder_1/bias:0', 'encoder_2/kernel:0', 'encoder_2/bias:0', 'encoder_3/kernel:0', 'encoder_3/bias:0', 'decoder_3/kernel:0', 'decoder_3/bias:0', 'decoder_2/kernel:0', 'decoder_2/bias:0', 'decoder_1/kernel:0', 'decoder_1/bias:0', 'decoder_0/kernel:0', 'decoder_0/bias:0'],). Provided grads_and_vars is ((None, <tf.Variable 'encoder_0/kernel:0' shape=(10000, 200) dtype=float32>), (None, <tf.Variable 'encoder_0/bias:0' shape=(200,) dtype=float32>), (None, <tf.Variable 'encoder_1/kernel:0' shape=(200, 128) dtype=float32>), (None, <tf.Variable 'encoder_1/bias:0' shape=(128,) dtype=float32>), (None, <tf.Variable 'encoder_2/kernel:0' shape=(128, 64) dtype=float32>), (None, <tf.Variable 'encoder_2/bias:0' shape=(64,) dtype=float32>), (None, <tf.Variable 'encoder_3/kernel:0' shape=(64, 2) dtype=float32>), (None, <tf.Variable 'encoder_3/bias:0' shape=(2,) dtype=float32>), (None, <tf.Variable 'decoder_3/kernel:0' shape=(2, 64) dtype=float32>), (None, <tf.Variable 'decoder_3/bias:0' shape=(64,) dtype=float32>), (None, <tf.Variable 'decoder_2/kernel:0' shape=(64, 128) dtype=float32>), (None, <tf.Variable 'decoder_2/bias:0' shape=(128,) dtype=float32>), (None, <tf.Variable 'decoder_1/kernel:0' shape=(128, 200) dtype=float32>), (None, <tf.Variable 'decoder_1/bias:0' shape=(200,) dtype=float32>), (None, <tf.Variable 'decoder_0/kernel:0' shape=(200, 10000) dtype=float32>), (None, <tf.Variable 'decoder_0/bias:0' shape=(10000,) dtype=float32>)).