wangwei created SINGA-381:
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Summary: Update the autograd API to yeild the gradients
Key: SINGA-381
URL: https://issues.apache.org/jira/browse/SINGA-381
Project: Singa
Issue Type: Improvement
Reporter: wangwei
This ticket is going to update one API in autograd.py
{code:java}
def backward(y, dy=None)
# returns the gradient tensor one by one using yield
def gradients(y, dy=None)
# returns a dictionary: param tensor -> gradient tensor{code}
With the backward() API, we can update the param immediately after its gradient
is available. Then, the gradient tensor can be deleted and the memory is
released.
The gradients() API keeps all gradient tensors in the memory, which incurs
memory overhead.
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