ValueError: operands could not be broadcast together with shapes (5,) (14,)

[Mary_nj]

Hi and tnx for answering, i know that it see some difrent classes in every batch and make trouble in precision, but i don,t know how to solve it
The models output (qa_sinilarity) is in :

Migrating from keras to pytorch

hi every body. please help me. in just want to transfer a code from keras to pytorch first q: is this two models are same? if not what is exact equivalence code in pytorch:) so: is this code…? question = layers.Input(shape=(None,), dtype='int32', name='question') answer = layers.Input(shape=(None,), dtype='int32', name='answer') embedding = layers.Embedding( mask_zero=True, input_dim=self.vocab_size, output_dim=self.embedding_size, …

And the task is question answering by finding similarest question in dataset and by keras it obtain up yo 96% acc but in transfering the code into pytorch i face this problem,by this informations, can you help me more please?