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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