[Apache TVM Discuss] [Development/pre-RFC] Pattern matching pass

[MajorTom via Apache TVM Discuss <no...@discuss.tvm.ai>]

Hi,
I am trying to implement a simple pass that merges a certain pattern into a single "normalize" op. I use the **register_pattern_table** which I understand is support to register the pass.

                             
    def make_pattern():
        data = wildcard()
        data2 = wildcard()
        data3 = wildcard()

        copy_op =  is_op("copy")(data)
        reshape1_op = is_op("reshape")(data2)
        substract_op = is_op("subtract")(copy_op, reshape1_op)
        reshape2_op = is_op("reshape")(data3)
        divide_op = is_op("reshape")(substract_op, reshape2_op)
        return divide_op


    @register_pattern_table
    def normalize_pattern():
        normalize_pat = ("normalize", make_pattern())
        normalize_patterns = [normalize_pat]
        return normalize_patterns


I import this code in my test but nothing happens. the code is not called. what am I missing?
It will really help if you could show me a tutorial or example of adding a pattern matching pass end-to-end.





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[Apache TVM Discuss] [Development/pre-RFC] Pattern matching pass

[masahi via Apache TVM Discuss <no...@discuss.tvm.ai>]

You need to use the `MergeComposite` pass. You can search its usage in our repo.





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