samskalicky commented on a change in pull request #19386:
URL: https://github.com/apache/incubator-mxnet/pull/19386#discussion_r523369938
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File path: python/mxnet/gluon/block.py
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@@ -1149,30 +1156,43 @@ def hybridize(self, active=True, backend=None,
backend_opts=None, clear=True, **
The name of backend, as registered in `SubgraphBackendRegistry`,
default None
backend_opts : dict of user-specified options to pass to the backend
for partitioning, optional
Passed on to `PrePartition` and `PostPartition` functions of
`SubgraphProperty`
- clear : clears any previous optimizations
- static_alloc : bool, default False
+ clear : bool, default True
+ Clears any previous optimizations
+ static_alloc : optional bool, default False
Statically allocate memory to improve speed. Memory usage may
increase.
- static_shape : bool, default False
+ static_shape : optional bool, default False
Optimize for invariant input shapes between iterations. Must also
set static_alloc to True. Change of input shapes is still allowed
but slower.
+ inline_limit : optional int, default 2
+ Maximum number of operators that can be inlined.
+ forward_bulk_size : optional int, default None
+ Segment size of bulk execution during forward pass.
+ backward_bulk_size : optional int, default None
+ Segment size of bulk execution during forward pass.
"""
Review comment:
we still need to take backend args in hybridize. so after making all the
cachedOp kwargs actual args in the function, kwargs will become just backend
options
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