The mis-matching on the pretrained model about zsd_release HOT 1 OPEN

Thank you for this pointer , however I still am getting an error which is

ValueError: The name "dense_regress_178" is used 2 times in the model. All layer names should be unique.

I have named the layers in detect.py as follows

resnetlast = (model_classifier.layers[-1].output)
out_class = TimeDistributed(Dense(int(resnetlast.shape[2]), kernel_initializer='uniform'),name='time_distributed_2')(resnetlast)
out_class = Activation('relu')(out_class)
out_class = Dropout(.5)(out_class)
out_class = TimeDistributed(Dense(word.shape[0], activation='linear', kernel_initializer='uniform'),name='time_distributed_3')(out_class)
out_class = TimeDistributed(Dense(word.shape[0], activation='linear', kernel_initializer='uniform'),name='dense_class_{}'.format(nb_classes))(out_class)
out_class = MyLayer(output_dim=word_all.shape[1])(out_class) 

and this seems to be causing the problem

out_regr = TimeDistributed(Dense(4 * (nb_classes - 1), activation='linear', kernel_initializer='zero'),name='dense_regress_{}'.format(nb_classes))(resnetlast)      

Since this was a problem with the naming which is arbitrary I thought perhaps changing this to any other name like in the line below would solve this issue

out_regr = TimeDistributed(Dense(4 * (nb_classes - 1), activation='linear', kernel_initializer='zero'),name='dense_regressor_{}'.format(nb_classes))(resnetlast)      

it does get rid of the previous ValueError but causes an error when the model loads weights

model_classifier.load_weights(C.model_path, by_name=True)

ValueError: Layer #178 (named "time_distributed_2"), weight <tf.Variable 'time_distributed_2/kernel:0' shape=(708, 708) dtype=float32, numpy=
array([[ 0.03911747, -0.02416103, -0.04996177, ..., -0.00052779,
-0.04415029, 0.03913448],
[ 0.02350913, -0.04238098, 0.04727681, ..., 0.00107334,
0.03948401, 0.0225733 ],
[ 0.00324714, 0.0267023 , 0.03767557, ..., -0.03660261,
0.02911811, -0.04166988],
...,
[ 0.00710471, -0.02927768, 0.02644283, ..., 0.0140437 ,
0.02945073, -0.01651412],
[ 0.03027074, -0.03358974, 0.03127309, ..., -0.00256994,
-0.00981454, -0.00117335],
[ 0.00760389, 0.02819859, -0.02207704, ..., -0.01791253,
-0.04420076, -0.00320693]], dtype=float32)> has shape (708, 708), but the saved weight has shape (2048, 2048).

Any help to solve this is greatly appreciated. Also, posted the latter as a separate issue in case this isn't related to the naming mismatching.

from zsd_release.