load_model: __init__() got an unexpected keyword argument 'name'

[sander314]

In running and adapting this code I came across an issue.
https://people.xiph.org/~jm/demo/rnnoise/

Loading the saved model with
model = load_model("model.hdf5", custom_objects={'WeightClip': WeightClip,'mycost':mycost,'msse':msse})

Keras gives the error
init() got an unexpected keyword argument 'name'

This can be tracked down to /utils/generic_utils.py

            # Then `cls` may be a function returning a class.
            # in this case by convention `config` holds
            # the kwargs of the function.
            custom_objects = custom_objects or {}
            with CustomObjectScope(custom_objects):
                return cls(**config['config'])

Particularly config['config']['name'] exists, while the class (the constraint WeightClip class) does not expect such an argument. This was both rather un-intuitive behaviour of the serializer and confusing for an error message.

Simply adding **kwargs to my class's init function fixed the issue for me.
Below is my best attempt at patching the issue such that Keras accepts the class without **kwargs and without breaking backward compatibility for anyone who does want to use the name field for some reason, but given my limited python skills I expect there is a better way.

    # Then `cls` may be a function returning a class.
            # in this case by convention `config` holds
            # the kwargs of the function.
            custom_objects = custom_objects or {}
            with CustomObjectScope(custom_objects):
                args, varargs, varkw, defaults = inspect.getargspec(cls) # stop the existence of config['name'] and such from causing errors
                if varkw is not None or set(config['config']) <= set(args):
                	return cls(**config['config'])
                else:
                  return cls(**{k: config[k] for k in set(args)&set(config['config'])})

[awkrail]

When I make a class inherited keras.model.Model, I met the same problem.
I add **kwargs to my init function, and it works. thanks.

[liyuan1234]

Adding **kwargs to the init method doesn't solve for me. My custom layer's init method has other arguments (seq and char_len), after adding **kwargs solves the 'name' error but now I get error "TypeError: init() missing 2 required positional arguments: 'seq' and 'char_len'"

I'm using keras v2.2.2

[eIGato]

If you use custom args for your model, then implement get_config() method. It would help you save all necessary arguments with your model.

[zrx1046]

@liyuan1234 @eIGato @sander314
Hello, how do you solve this problem, I am also a custom layer, the following problems arise:
TypeError: init() missing 2 required positional arguments: 'pool_size' and 'num_rois'
my keras=2.2.0,,tensorflow=1.8.0

[eIGato]

@zrx1046 show your code please.

[shinleylee]

@zrx1046 add a get_config function like this

def get_config(self):
        config = {'pool_size': self.pool_size, 'num_rois': self.num_rois}
        base_config = super(MyLayer, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

[Aisha1214]

I have the similar error as:
__init__() got an unexpected keyword argument 'ragged'

Can someone help?
The command I am using is
model = load_model('Model1.h5')

[thelmanizia]

I have the similar error as:
__init__() got an unexpected keyword argument 'ragged'

Can someone help?
The command I am using is
model = load_model('Model1.h5')

@Aisha1214 load the model using:
from tensorflow.keras.models import load_model

instead of:
from keras.models import load_model

[ksharm50]

i am using tensorflow version 1.11.0 some reason i am getting this issue even after using from tensorflow.keras.models import load_model

('Unrecognized keyword arguments:', dict_keys(['ragged'])): ValueError Traceback (most recent call last): File "/var/task/lambda_function.py", line 50, in lambda_handler load_model(local_path_model) File "/opt/python/tensorflow/python/keras/engine/saving.py", line 230, in load_model model = model_from_config(model_config, custom_objects=custom_objects) File "/opt/python/tensorflow/python/keras/engine/saving.py", line 310, in model_from_config return deserialize(config, custom_objects=custom_objects) File "/opt/python/tensorflow/python/keras/layers/serialization.py", line 64, in deserialize printable_module_name='layer') File "/opt/python/tensorflow/python/keras/utils/generic_utils.py", line 173, in deserialize_keras_object list(custom_objects.items()))) File "/opt/python/tensorflow/python/keras/engine/sequential.py", line 339, in from_config custom_objects=custom_objects) File "/opt/python/tensorflow/python/keras/layers/serialization.py", line 64, in deserialize printable_module_name='layer') File "/opt/python/tensorflow/python/keras/utils/generic_utils.py", line 175, in deserialize_keras_object return cls.from_config(config['config']) File "/opt/python/tensorflow/python/keras/engine/base_layer.py", line 1617, in from_config return cls(**config) File "/opt/python/tensorflow/python/keras/engine/input_layer.py", line 70, in __init__ raise ValueError('Unrecognized keyword arguments:', kwargs.keys()) ValueError: ('Unrecognized keyword arguments:', dict_keys(['ragged']))

[Lyn-666]

@liyuan1234 @eIGato @sander314 Hello, how do you solve this problem, I am also a custom layer, the following problems arise: TypeError: init() missing 2 required positional arguments: 'pool_size' and 'num_rois' my keras=2.2.0,,tensorflow=1.8.0

@liyuan1234 @eIGato @sander314 你好，请问这个问题是怎么解决的，我也是自定义层，出现以下问题： TypeError: init() 缺少 2 个必需的位置参数：'pool_size' 和 'num_rois' 我的 keras=2.2.0,,tensorflow=1.8.0

Hello, I met the same issue, Could you please share your solution? Thanks！

[Lyn-666]

Adding **kwargs to the init method doesn't solve for me. My custom layer's init method has other arguments (seq and char_len), after adding **kwargs solves the 'name' error but now I get error "TypeError: init() missing 2 required positional arguments: 'seq' and 'char_len'"

I'm using keras v2.2.2

Hi， Could you please share your solution? I met the same issue. Thanks