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  1. import numpy as np
  2. import tensorflow as tf
  3. from tensorflow import keras
  4. from keras.models import Sequential, load_model
  5. from keras.layers import Dense, Activation, Dropout, Add
  6. from keras import metrics, Input, Model, optimizers
  7. from keras.utils.generic_utils import get_custom_objects
  8. import keras.backend as K
  9. from keras.initializers import Initializer
  10.  
  11. class myInit( Initializer ):
  12. def __init__(self, matrix):
  13. self.matrix = matrix
  14.  
  15. def __call__(self, shape, dtype=None):
  16. # array filled with matrix parameter'
  17. return K.variable(value = self.matrix, dtype=dtype )
  18.  
  19. def get_config(self):
  20. return {
  21. 'matrix' : self.matrix
  22. }
  23.  
  24. val = np.ones((2, 2))
  25.  
  26. input_l=Input(shape=(2,))
  27. hidden=Dropout(rate=0.3,seed=0)(input_l)
  28. x1 = Dense(2, kernel_initializer=myInit(val),
  29. activation=None, )(hidden)
  30. x2 = Dense(2, activation='relu')(hidden)
  31. energy=Add()([x1,x2])
  32. output=Activation('softmax')(energy)
  33. model = Model(input_l,output)
  34.  
  35. model.compile(loss='categorical_crossentropy', optimizer='adam' , metrics=['categorical_accuracy'])
  36. model_info=model.get_config()
  37.  
  38. model.save("savedmodel_ex.h5")
  39. model = load_model("savedmodel_ex.h5", custom_objects={'myInit':myInit})
  40.  
  41. ---------------------------------------------------------------------------
  42. TypeError Traceback (most recent call last)
  43. <ipython-input-20-99f620c51ed9> in <module>()
  44. 12
  45. 13 model.save("savedmodel_ex.h5")
  46. ---> 14 model = load_model("savedmodel_ex.h5", custom_objects={'myInit':myInit})
  47.  
  48. /lib/python2.7/site-packages/keras/models.pyc in load_model(filepath, custom_objects, compile)
  49. 268 raise ValueError('No model found in config file.')
  50. 269 model_config = json.loads(model_config.decode('utf-8'))
  51. --> 270 model = model_from_config(model_config, custom_objects=custom_objects)
  52. 271
  53. 272 # set weights
  54.  
  55. /lib/python2.7/site-packages/keras/models.pyc in model_from_config(config, custom_objects)
  56. 345 'Maybe you meant to use '
  57. 346 '`Sequential.from_config(config)`?')
  58. --> 347 return layer_module.deserialize(config, custom_objects=custom_objects)
  59. 348
  60. 349
  61.  
  62. /lib/python2.7/site-packages/keras/layers/__init__.pyc in deserialize(config, custom_objects)
  63. 53 module_objects=globs,
  64. 54 custom_objects=custom_objects,
  65. ---> 55 printable_module_name='layer')
  66.  
  67. /lib/python2.7/site-packages/keras/utils/generic_utils.pyc in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
  68. 142 return cls.from_config(config['config'],
  69. 143 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
  70. --> 144 list(custom_objects.items())))
  71. 145 with CustomObjectScope(custom_objects):
  72. 146 return cls.from_config(config['config'])
  73.  
  74. /lib/python2.7/site-packages/keras/engine/topology.pyc in from_config(cls, config, custom_objects)
  75. 2533 if layer in unprocessed_nodes:
  76. 2534 for node_data in unprocessed_nodes.pop(layer):
  77. -> 2535 process_node(layer, node_data)
  78. 2536
  79. 2537 name = config.get('name')
  80.  
  81. /lib/python2.7/site-packages/keras/engine/topology.pyc in process_node(layer, node_data)
  82. 2490 if input_tensors:
  83. 2491 if len(input_tensors) == 1:
  84. -> 2492 layer(input_tensors[0], **kwargs)
  85. 2493 else:
  86. 2494 layer(input_tensors, **kwargs)
  87.  
  88. /lib/python2.7/site-packages/keras/engine/topology.pyc in __call__(self, inputs, **kwargs)
  89. 590 '`layer.build(batch_input_shape)`')
  90. 591 if len(input_shapes) == 1:
  91. --> 592 self.build(input_shapes[0])
  92. 593 else:
  93. 594 self.build(input_shapes)
  94.  
  95. /lib/python2.7/site-packages/keras/layers/core.pyc in build(self, input_shape)
  96. 862 name='kernel',
  97. 863 regularizer=self.kernel_regularizer,
  98. --> 864 constraint=self.kernel_constraint)
  99. 865 if self.use_bias:
  100. 866 self.bias = self.add_weight(shape=(self.units,),
  101.  
  102. /lib/python2.7/site-packages/keras/legacy/interfaces.pyc in wrapper(*args, **kwargs)
  103. 89 warnings.warn('Update your `' + object_name +
  104. 90 '` call to the Keras 2 API: ' + signature, stacklevel=2)
  105. ---> 91 return func(*args, **kwargs)
  106. 92 wrapper._original_function = func
  107. 93 return wrapper
  108.  
  109. /lib/python2.7/site-packages/keras/engine/topology.pyc in add_weight(self, name, shape, dtype, initializer, regularizer, trainable, constraint)
  110. 411 if dtype is None:
  111. 412 dtype = K.floatx()
  112. --> 413 weight = K.variable(initializer(shape),
  113. 414 dtype=dtype,
  114. 415 name=name,
  115.  
  116. <ipython-input-17-463931c2b557> in __call__(self, shape, dtype)
  117. 8 def __call__(self, shape, dtype=None):
  118. 9 # array filled with matrix parameter'
  119. ---> 10 return K.variable(value = self.matrix, dtype=dtype )
  120. 11
  121. 12 def get_config(self):
  122.  
  123. /lib/python2.7/site-packages/keras/backend/tensorflow_backend.pyc in variable(value, dtype, name, constraint)
  124. 394 v._uses_learning_phase = False
  125. 395 return v
  126. --> 396 v = tf.Variable(value, dtype=tf.as_dtype(dtype), name=name)
  127. 397 if isinstance(value, np.ndarray):
  128. 398 v._keras_shape = value.shape
  129.  
  130. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in __call__(cls, *args, **kwargs)
  131. 211 def __call__(cls, *args, **kwargs):
  132. 212 if cls is VariableV1:
  133. --> 213 return cls._variable_v1_call(*args, **kwargs)
  134. 214 elif cls is Variable:
  135. 215 return cls._variable_v2_call(*args, **kwargs)
  136.  
  137. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in _variable_v1_call(cls, initial_value, trainable, collections, validate_shape, caching_device, name, variable_def, dtype, expected_shape, import_scope, constraint, use_resource, synchronization, aggregation)
  138. 174 use_resource=use_resource,
  139. 175 synchronization=synchronization,
  140. --> 176 aggregation=aggregation)
  141. 177
  142. 178 def _variable_v2_call(cls,
  143.  
  144. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in <lambda>(**kwargs)
  145. 153 aggregation=VariableAggregation.NONE):
  146. 154 """Call on Variable class. Useful to force the signature."""
  147. --> 155 previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
  148. 156 for getter in ops.get_default_graph()._variable_creator_stack: # pylint: disable=protected-access
  149. 157 previous_getter = _make_getter(getter, previous_getter)
  150.  
  151. /lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.pyc in default_variable_creator(next_creator, **kwargs)
  152. 2493 caching_device=caching_device, name=name, dtype=dtype,
  153. 2494 constraint=constraint, variable_def=variable_def,
  154. -> 2495 expected_shape=expected_shape, import_scope=import_scope)
  155. 2496
  156. 2497
  157.  
  158. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in __call__(cls, *args, **kwargs)
  159. 215 return cls._variable_v2_call(*args, **kwargs)
  160. 216 else:
  161. --> 217 return super(VariableMetaclass, cls).__call__(*args, **kwargs)
  162. 218
  163. 219
  164.  
  165. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in __init__(self, initial_value, trainable, collections, validate_shape, caching_device, name, variable_def, dtype, expected_shape, import_scope, constraint)
  166. 1393 dtype=dtype,
  167. 1394 expected_shape=expected_shape,
  168. -> 1395 constraint=constraint)
  169. 1396
  170. 1397 def __repr__(self):
  171.  
  172. /lib/python2.7/site-packages/tensorflow/python/ops/variables.pyc in _init_from_args(self, initial_value, trainable, collections, validate_shape, caching_device, name, dtype, expected_shape, constraint)
  173. 1513 else:
  174. 1514 self._initial_value = ops.convert_to_tensor(
  175. -> 1515 initial_value, name="initial_value", dtype=dtype)
  176. 1516 # pylint: disable=protected-access
  177. 1517 if self._initial_value.op._get_control_flow_context() is not None:
  178.  
  179. /lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in convert_to_tensor(value, dtype, name, preferred_dtype)
  180. 1037 ValueError: If the `value` is a tensor not of given `dtype` in graph mode.
  181. 1038 """
  182. -> 1039 return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
  183. 1040
  184. 1041
  185.  
  186. /lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in convert_to_tensor_v2(value, dtype, dtype_hint, name)
  187. 1095 name=name,
  188. 1096 preferred_dtype=dtype_hint,
  189. -> 1097 as_ref=False)
  190. 1098
  191. 1099
  192.  
  193. /lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accept_symbolic_tensors)
  194. 1173
  195. 1174 if ret is None:
  196. -> 1175 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  197. 1176
  198. 1177 if ret is NotImplemented:
  199.  
  200. /lib/python2.7/site-packages/tensorflow/python/framework/constant_op.pyc in _constant_tensor_conversion_function(v, dtype, name, as_ref)
  201. 302 as_ref=False):
  202. 303 _ = as_ref
  203. --> 304 return constant(v, dtype=dtype, name=name)
  204. 305
  205. 306
  206.  
  207. /lib/python2.7/site-packages/tensorflow/python/framework/constant_op.pyc in constant(value, dtype, shape, name)
  208. 243 """
  209. 244 return _constant_impl(value, dtype, shape, name, verify_shape=False,
  210. --> 245 allow_broadcast=True)
  211. 246
  212. 247
  213.  
  214. /lib/python2.7/site-packages/tensorflow/python/framework/constant_op.pyc in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
  215. 281 tensor_util.make_tensor_proto(
  216. 282 value, dtype=dtype, shape=shape, verify_shape=verify_shape,
  217. --> 283 allow_broadcast=allow_broadcast))
  218. 284 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
  219. 285 const_tensor = g.create_op(
  220.  
  221. /lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.pyc in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
  222. 464 nparray = np.empty(shape, dtype=np_dt)
  223. 465 else:
  224. --> 466 _AssertCompatible(values, dtype)
  225. 467 nparray = np.array(values, dtype=np_dt)
  226. 468 # check to them.
  227.  
  228. /lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.pyc in _AssertCompatible(values, dtype)
  229. 369 else:
  230. 370 raise TypeError("Expected %s, got %s of type '%s' instead." %
  231. --> 371 (dtype.name, repr(mismatch), type(mismatch).__name__))
  232. 372
  233. 373
  234.  
  235. TypeError: Expected float32, got {u'type': u'ndarray', u'value': [[1.0, 1.0], [1.0, 1.0]]} of type 'dict' instead.
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