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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/11/12 19:31:26 UTC

[GitHub] anjishnu commented on issue #8625: Attempting to write a relation network in Gluon

anjishnu commented on issue #8625: Attempting to write a relation network in Gluon
URL: https://github.com/apache/incubator-mxnet/issues/8625#issuecomment-343760917
 
 
   I guess I essentially need to do the equivalent of the code below, but with the all_relations array being a memory view rather than a copy... 
   
   ```python
           num_relations = num_objects * num_objects
           #all_relations = []
           all_relations = mx.nd.zeros((batch_size * num_relations, hidden_dim * 2))
           for i in range(num_objects):
               first_object = z1[:, i, :]
               for j in range(num_objects):
                   second_object = z2[:, j, :]
                   relation_vector = mx.nd.concat(first_object, second_object, dim=1)
                   start_index = ((i * num_objects) + j) * batch_size
                   #all_relations.append(relation_vector)
                   all_relations[start_index : start_index + batch_size] = relation_vector
   
   ```

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