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I try to run attention.py and it seems it's not possible to fit into memory for me. So I try do some tricks. One is to clean up and read arrays from disk only needed to use model.fit, but in the line model = load_model("large_files/model.h5")
I get following error:
Traceback (most recent call last):
File "AT_translate.py", line 32, in <module>
model = load_model("large_files/"+MODE+"-model.h5")
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\saving.py", line 492, in load_wrapper
return load_function(*args, **kwargs)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\saving.py", line 584, in load_model
model = _deserialize_model(h5dict, custom_objects, compile)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\saving.py", line 274, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\saving.py", line 627, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\layers\__init__.py", line 168, in deserialize
printable_module_name='layer')
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 147, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\network.py", line 1056, in from_config
process_layer(layer_data)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\network.py", line 1042, in process_layer
custom_objects=custom_objects)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\layers\__init__.py", line 168, in deserialize
printable_module_name='layer')
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 149, in deserialize_keras_object
return cls.from_config(config['config'])
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\engine\base_layer.py", line 1179, in from_config
return cls(**config)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\layers\core.py", line 875, in __init__
self.activation = activations.get(activation)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\activations.py", line 227, in get
return deserialize(identifier)
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\activations.py", line 208, in deserialize
printable_module_name='activation function')
File "C:\Users\cp\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 167, in deserialize_keras_object
':' + function_name)
ValueError: Unknown activation function:softmax_over_time
Please give me a hint how can I avoid it?
The text was updated successfully, but these errors were encountered:
Found some way to walk around: model = load_model("large_files/model.h5", custom_objects = {"softmax_over_time": softmax_over_time, "t":t})
just passed variable and function which is custom but this throws another error:
ValueError: A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(None, 1, 512), (None, 0, 100)]
I guess it's probably to re-write the function because it's not intended to use serialization.
I try to run
attention.py
and it seems it's not possible to fit into memory for me. So I try do some tricks. One is to clean up and read arrays from disk only needed to usemodel.fit
, but in the linemodel = load_model("large_files/model.h5")
I get following error:
Please give me a hint how can I avoid it?
The text was updated successfully, but these errors were encountered: