apeforest commented on a change in pull request #17502: [OpPerf] Implement
remaining random sampling ops
URL: https://github.com/apache/incubator-mxnet/pull/17502#discussion_r374289421
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File path: benchmark/opperf/rules/default_params.py
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@@ -152,7 +158,13 @@
"dim1": DEFAULT_DIM_1,
"dim2": DEFAULT_DIM_2,
"block_size": DEFAULT_BLOCK_SIZE,
- "args": DEFAULT_ARGS}
+ "args": DEFAULT_ARGS,
+ "grid": DEFAULT_GRID,
+ "data_bilinearsampler": DEFAULT_DATA_BILINEAR,
Review comment:
Seems there are very operator specific. What if these arguments change in
mxnet 2.0 does it break this opperf utility. Is there a way to generalize these
op specific params, like passing them in as general `args` param?
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