ValueError: bad marshal data (unknown type code)

[dgolano]

I'm just attempting to load the model below like you have in README.md,
but am getting the error: " ValueError: bad marshal data (unknown type code)".

These are the version of keras and python that I'm using.
Keras: 2.1.1
Python 3.6.2

Do I need to use a different version of Keras/Python?

from keras.models import load_model
from keras.utils import CustomObjectScope
import tensorflow as tf
with CustomObjectScope({'tf': tf}):
    model = load_model('Keras-OpenFace-master/model/nn4.small2.v1.h5')

---

ValueError Traceback (most recent call last)
in ()
3 import tensorflow as tf
4 with CustomObjectScope({'tf': tf}):
----> 5 model = load_model('Keras-OpenFace-master/model/nn4.small2.v1.h5')

//anaconda/envs/tf/lib/python3.6/site-packages/keras/models.py in load_model(filepath, custom_objects, compile)
238 raise ValueError('No model found in config file.')
239 model_config = json.loads(model_config.decode('utf-8'))
--> 240 model = model_from_config(model_config, custom_objects=custom_objects)
241
242 # set weights

//anaconda/envs/tf/lib/python3.6/site-packages/keras/models.py in model_from_config(config, custom_objects)
312 'Maybe you meant to use '
313 'Sequential.from_config(config)?')
--> 314 return layer_module.deserialize(config, custom_objects=custom_objects)
315
316

//anaconda/envs/tf/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
53 module_objects=globs,
54 custom_objects=custom_objects,
---> 55 printable_module_name='layer')

//anaconda/envs/tf/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])

//anaconda/envs/tf/lib/python3.6/site-packages/keras/engine/topology.py in from_config(cls, config, custom_objects)
2488 # First, we create all layers and enqueue nodes to be processed
2489 for layer_data in config['layers']:
-> 2490 process_layer(layer_data)
2491 # Then we process nodes in order of layer depth.
2492 # Nodes that cannot yet be processed (if the inbound node

//anaconda/envs/tf/lib/python3.6/site-packages/keras/engine/topology.py in process_layer(layer_data)
2474
2475 layer = deserialize_layer(layer_data,
-> 2476 custom_objects=custom_objects)
2477 created_layers[layer_name] = layer
2478

//anaconda/envs/tf/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
53 module_objects=globs,
54 custom_objects=custom_objects,
---> 55 printable_module_name='layer')

//anaconda/envs/tf/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])

//anaconda/envs/tf/lib/python3.6/site-packages/keras/layers/core.py in from_config(cls, config, custom_objects)
697 elif function_type == 'lambda':
698 # Unsafe deserialization from bytecode
--> 699 function = func_load(config['function'], globs=globs)
700 else:
701 raise TypeError('Unknown function type:', function_type)

//anaconda/envs/tf/lib/python3.6/site-packages/keras/utils/generic_utils.py in func_load(code, defaults, closure, globs)
198 if isinstance(defaults, list):
199 defaults = tuple(defaults)
--> 200 code = marshal.loads(code.encode('raw_unicode_escape'))
201 if globs is None:
202 globs = globals()

ValueError: bad marshal data (unknown type code)

[sagartesla]

@dgolano You should use python 2.7 .
I also got the same error related to bad marshal.
Now I am able to load these model without any error.
My current version are
python - 2.7.12
keras - 2.1.1
tensorflow- 1.0.0

[beimingmaster]

i have same error

[beimingmaster]

my environment:
python: 3.5.2
tensorflow: 1.3
cuda: 8.0

[cskostas87]

are you (@beimingmaster ) find a solution for bad marshal problem?

[tkwoo]

my env:
python: 3.6
tf: 1.8
keras: 2.2

I also faced same problem. and sovled it.

1. model.save('./model/nn4.small2.lrn.h5') using python 2.7
2. load nn4.small2.lrn.h5 and save model.save_weights('weight.h5')
3. create model structure file: https://gist.github.com/tkwoo/a9da631b3f7d437b8961a7d5276a6087
4. model = facenet_keras.facenet()
5. model.load_weights('weight.h5')

[Aditya-Ashtekar]

!git clone https://github.com/TessFerrandez/research-papers.git
%cd research-papers/facenet
from model import create_model
%cd ../..
#check if '%pwd' prints '/content' if using google colab
#download facenet_keras.py and upload to your colab's 'content/' direcory #https://gist.github.com/tkwoo/a9da631b3f7d437b8961a7d5276a6087
import facenet_keras
model = facenet_keras.facenet()

[AlphaMoury]

Actually, now that tensoflow absorbed keras, we should make the respective modifications:

keras -> tensorflow.keras

and replace all things like keras.layers.* by keras.layers