AttributeError: 'Model' object has no attribute 'weighted_metrics' while calling set_trainable

Hi,

while calling set_trainable(true) to fine tune a model (following the tutorial here: https://segmentation-models.readthedocs.io/en/latest/tutorial.html#fine-tuning ), I get the following error:

  File "experiment0.py", line 75, in run_exp
    set_trainable(model)
  File "/home/benq/anaconda3/envs/tf2/lib/python3.7/site-packages/segmentation_models/utils.py", line 36, in set_trainable
    weighted_metrics=model.weighted_metrics,
AttributeError: 'Model' object has no attribute 'weighted_metrics'

the model is Unet with resnet34 backbone, running on tensorflow 2.0. The first call tomodel.fit_generator works without issue.

Any idea?

[marcomameli1992]

I try your code and before yesterday it works, but yesterday when I try to recompile the network I obtain the error reported here, more precisely I have:

Traceback (most recent call last): File “training.py”, line 83, in <module> sm.utils.set_trainable(model=model, recompile=True) File “/usr/local/lib/python3.6/dist-packages/segmentation_models/utils.py”, line 36, in set_trainable weighted_metrics=model.weighted_metrics, AttributeError: ‘Model’ object has no attribute ‘weighted_metrics’

The same error of benqua, but I use Tensorflow-gpu 1.13.2 and I try tensorflow-gpu 1.15.0 and after the deletion of the

weighted_metrics=model.weighted_metrics

the result is an error on fit_generator:

Epoch 1/80 Traceback (most recent call last): File “training.py”, line 120, in <module> validation_steps=len(valid_dataloader) File “/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py”, line 91, in wrapper return func(*args, **kwargs) File “/usr/local/lib/python3.6/dist-packages/keras/engine/training.py”, line 1732, in fit_generator initial_epoch=initial_epoch) File “/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py”, line 220, in fit_generator reset_metrics=False) File “/usr/local/lib/python3.6/dist-packages/keras/engine/training.py”, line 1514, in train_on_batch outputs = self.train_function(ins) File “/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/backend.py”, line 3076, in call run_metadata=self.run_metadata) File “/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py”, line 1439, in call run_metadata_ptr) File “/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/errors_impl.py”, line 528, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor ‘softmax_target’ with dtype float and shape [?,?,?,?] [[{{node softmax_target}}]] [[{{node Mean_1}}]]

I don’t know how to solve this issue. Can you help me, please?

[systemallica]

I’m facing the same error, is there a known fix? @qubvel