TF2.5 class_weight error

[Pengling2022]

Dear Dr. S.Mostafa Mousavi,
hello!

I have encountered some tough problems in the process of trying to improve EQTransformer. I hope to get your reply.

I can successfully run Tensorflow=2.0.0+EQTransformer=0.1.59, but I can't use the GPU because my GPU is RTX3060

It is found that RTX3060 only supports CUDA>=11.1, in which case Tensorflow>=2.4 is required. An error occurs when I try to use Tensorflow=2.5.0+EQTransformer=0.1.61: class_weight is only supported for Models with a single output.

The specific location of the error is:
trainer.py
history = model.fit_generator(generator=training_generator,
validation_data=validation_generator,
use_multiprocessing=args['use_multiprocessing'],
workers=multiprocessing.cpu_count(),
callbacks=callbacks,
epochs=args['epochs'],
class_weight={0: 0.11, 1: 0.89})
data_adapter.py
def _class_weights_map_fn(*data):
"""Convert class_weight to sample_weight."""
x, y, sw = unpack_x_y_sample_weight(data)

if nest.is_nested(y):
raise ValueError(
"class_weight is only supported for Models with a single output.")

I inquired the source code and found that this error was actually caused by TF update, but I had to use GPU again, so is there any good solution? Did you encounter this error with TF=2.5.0?

Thank you very much!

[fmingsl]

I encountered the same problem in training.ipynb.And my env is Tensorflow=2.5.3+EQTransformer=0.1.61+python3.9.19