Applies to Linux


4 min read time


The matchers provide a way compose several predicates together. Many of the matchers can be composed so that m(m1, m2) will first check that m matches and then it will check that m1 and m2 will match.

The most commonly-used matcher is the name matcher. It will match the instruction that have the operator that is equal to the name specified:

auto match_sum = name("sum");

This will find sum operators. We can also find sum operators which the output is standard_shape:

auto match_sum = name(“sum”)(standard_shape());


We also want to match arguments to the instructions as well. One way, is to match each argument using the arg matcher:

auto match_sum = name("sum")(arg(0)(name("@literal"), arg(1)(name("@literal"))));

This will match a sum operator with the two arguments that are literals. Of course, instead of writing arg(0) and arg(1) everytime, the args matcher can be used:

auto match_sum = name("sum")(args(name("@literal"), name("@literal")));


As we traverse through the instructions we may want reference some of the instructions we find along the way. We can do this by calling .bind:

auto match_sum = name("sum")(args(

This will associate the instruction to a name that can be read from the matcher_result when it matches.

Finding matches#

Finally, when you want to use the matchers to find instructions a callback object can be written which has the matcher and an apply function which will take the matcher_result when the match is found:

struct match_find_sum
    auto matcher() const { return name("sum"); }

    void apply(program& p, matcher_result r) const
        // Do something with the result

find_matches(prog, match_find_sum{});

Creating matchers#

There are several ways to create matchers. The macros MIGRAPH_BASIC_MATCHER and MIGRAPH_PRED_MATCHER help with creating matchers. For example, we can create a matcher for shapes that are broadcasted:

MIGRAPH_PRED_MATCHER(broadcasted_shape, instruction_ref ins)
    return ins->get_shape().broadcasted();

If we want parameters to the predicate, then we will need to use the make_basic_pred_matcher to create the matcher. For example, here is how we would create a matcher to check the number of dimensions of the shape:

inline auto number_of_dims(std::size_t n)
    return make_basic_pred_matcher([=](instruction_ref ins) {
        return ins->get_shape().lens().size() == n;