anijain2305 commented on a change in pull request #4797: [AutoTVM] Minor bug
fixes in AutoTVM for QNN graphs
URL: https://github.com/apache/incubator-tvm/pull/4797#discussion_r374441091
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File path: python/tvm/autotvm/graph_tuner/utils/utils.py
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@@ -73,7 +73,7 @@ def is_boundary_node(node_entry, input_names):
# Operators dependent on original layouts.
_LAYOUT_FIXED_OP = ["batch_flatten", "transpose", "reshape",
"multibox_prior", "multibox_transform_loc", "where",
- "non_max_suppression", "strided_slice"]
Review comment:
After talking to Yao, we decided to solve it in a different manner. It might
work for the case that I experienced with QNN, but might fail in other cases.
We will revisit this.
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