reminisce edited a comment on issue #16716: [Numpy] Fix collect_params().zero_grad() in gluon numpy interface URL: https://github.com/apache/incubator-mxnet/pull/16716#issuecomment-551388401 To avoid too frequent cuda stream synchronization for the arrays to be zeroed without introducing a new operator, I think we can put the assignment loop into the bulk scope so that there should be only one stream synchronization in the end. ```python with mx.engine.bulk(len(arrays)): for arr in arrays: arr[:] = 0 ```
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