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Posted to dev@singa.apache.org by "wangwei (JIRA)" <ji...@apache.org> on 2017/04/10 09:58:41 UTC

[jira] [Created] (SINGA-309) Update the layer setting/config dynamically

wangwei created SINGA-309:
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             Summary: Update the layer setting/config dynamically
                 Key: SINGA-309
                 URL: https://issues.apache.org/jira/browse/SINGA-309
             Project: Singa
          Issue Type: Improvement
            Reporter: wangwei
            Assignee: wangwei


Layers like convolution, pooling, dense, are configured before the training/inference.
Their internal variables (e.g., buffers and weight matrix) are initialized in the setup phase or in the first iteration of training/inference.
Sometimes, the input data size may change, e.g., the batchsize is different for training and validation/test. 
This ticket is to dynamically update the layer config/setting and its internal variables when the input data/tensor size is changed.



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