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echuraev
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Jun 2, 2021
echuraev
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Also, I'm not sure that it is a good fix for the problem. Maybe I don't understand the whole problem.
I think that this problem should be fixed somewhere in BNNS part, for example in codegen.cc or in fixing existing pattern for BNNS in bnns.py.
Are you sure that your change won't brake something in other tvm components?
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| // if ((op_node->name == "add") || (op_node->name == "multiply")) { | ||
| if ((op_node->name == "multiply")) { |
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Remove the comment and redundant brackets around op_node->name == "multiply"
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For two models (
aec,cruse) it was not possible to applyBNNS. The script for compiling the model stops working with an error when executing thepartition_for_bnnsfunction. This is due to the fact that thecheck_densefunction does not take into account the fact that the operator can becommutative(an internal assumption, which in our case was not fulfilled).These changes are a
workaroundfor this problem.The following
erroroccurred while compiling models: