CNevd commented on a change in pull request #7082: Sparse Tensor: request for
reviews
URL: https://github.com/apache/incubator-mxnet/pull/7082#discussion_r133614687
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File path: python/mxnet/model.py
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@@ -113,25 +127,36 @@ def _update_params_on_kvstore(param_arrays, grad_arrays,
kvstore, param_names):
# push gradient, priority is negative index
kvstore.push(name, grad_list, priority=-index)
# pull back the weights
- kvstore.pull(name, arg_list, priority=-index)
+ if _contains_non_default_storage(arg_list):
Review comment:
Can we just skip the row_sparse weights and pull the dense weights normally
or any other prettier way to do this?
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