Evaluate() does not work - unexpected keyword argument 'ragged'

TryNeffi commented 4 years ago

1) Confirm the below

[x] I have looked for an answer in the Docs
[x] My Python version is 3.5 or higher
[x] I have searched through the issues Issues for a duplicate
[x] I've tested that my Keras model works as a stand-alone

2) Include the output of:

talos.__version__ == 0.6.4 tf.__version__ == 2.1.0 tf.keras.__version__ == 2.2.4-tf

3) Explain clearly what you are trying to achieve

I am in my third round of hyperparameter tuning and I wanted to check the best model on my test set. Unfortunately it did not work out. Moreover, a lot of function such as the "lr_normalizer", "multiple_gpu", "recover_best_model" or "Deploy" does not work either. First I though I have this problem (https://stackoverflow.com/questions/58878421/unexpected-keyword-argument-ragged-in-keras), but even after taking care that I only import tensorflow.keras packages neither of the above mentioned functions worked.

4) My Code:

Imports:

import tensorflow as tf 
import tensorflow.keras as keras

5) Error:


---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-78-c9fcd4826407> in <module>
  4                         metric='val_loss',
  5                         asc=True,
----> 6                         task="continuous")

/opt/conda/lib/python3.7/site-packages/talos/commands/evaluate.py in evaluate(self, x, y, task, metric, model_id, folds, shuffle, asc, print_out) 63 64 from ..utils.best_model import activate_model ---> 65 model = activate_model(self.scan_object, model_id) 66 67 from ..utils.validation_split import kfold

/opt/conda/lib/python3.7/site-packages/talos/utils/best_model.py in activate_model(self, model_id) 18 '''Loads the model from the json that is stored in the Scan object''' 19 ---> 20 model = model_from_json(self.saved_models[model_id]) 21 model.set_weights(self.saved_weights[model_id]) 22

/opt/conda/lib/python3.7/site-packages/keras/engine/saving.py in model_from_json(json_string, custom_objects) 659 config = json.loads(json_string) 660 from ..layers import deserialize --> 661 return deserialize(config, custom_objects=custom_objects) 662 663

/opt/conda/lib/python3.7/site-packages/keras/layers/init.py in deserialize(config, custom_objects) 166 module_objects=globs, 167 custom_objects=custom_objects, --> 168 printable_module_name='layer')

/opt/conda/lib/python3.7/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name) 145 config['config'], 146 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) + --> 147 list(custom_objects.items()))) 148 with CustomObjectScope(custom_objects): 149 return cls.from_config(config['config'])

/opt/conda/lib/python3.7/site-packages/keras/engine/network.py in from_config(cls, config, custom_objects) 1054 # First, we create all layers and enqueue nodes to be processed 1055 for layer_data in config['layers']: -> 1056 process_layer(layer_data) 1057 1058 # Then we process nodes in order of layer depth.

/opt/conda/lib/python3.7/site-packages/keras/engine/network.py in process_layer(layer_data) 1040 1041 layer = deserialize_layer(layer_data, -> 1042 custom_objects=custom_objects) 1043 created_layers[layer_name] = layer 1044

/opt/conda/lib/python3.7/site-packages/keras/layers/init.py in deserialize(config, custom_objects) 166 module_objects=globs, 167 custom_objects=custom_objects, --> 168 printable_module_name='layer')

/opt/conda/lib/python3.7/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name) 147 list(custom_objects.items()))) 148 with CustomObjectScope(custom_objects): --> 149 return cls.from_config(config['config']) 150 else: 151 # Then cls may be a function returning a class.

/opt/conda/lib/python3.7/site-packages/keras/engine/base_layer.py in from_config(cls, config) 1177 A layer instance. 1178 """ -> 1179 return cls(**config) 1180 1181 def count_params(self):

/opt/conda/lib/python3.7/site-packages/keras/legacy/interfaces.py in wrapper(*args, *kwargs) 89 warnings.warn('Update your ' + object_name + ' call to the ' + 90 'Keras 2 API: ' + signature, stacklevel=2) ---> 91 return func(args, **kwargs) 92 wrapper._original_function = func 93 return wrapper

TypeError: init() got an unexpected keyword argument 'ragged'

github-actions[bot] commented 4 years ago

Welcome to Talos community! Thanks so much for creating your first issue :)

mikkokotila commented 4 years ago

You are using incompatible versions. You must install Talos 1.0

pip install git+https://github.com/autonomio/talos@1.0

autonomio / talos