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[TE COMPILER] Propagate structural hash from relay function to TIR function #10475

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Merged
AndrewZhaoLuo merged 1 commit into from
Mar 8, 2022
Merged

[TE COMPILER] Propagate structural hash from relay function to TIR function #10475

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9 changes: 8 additions & 1 deletion src/relay/backend/te_compiler.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -350,7 +350,14 @@ class TECompilerImpl : public TECompilerNode {
GlobalVar global_var = kv.first->name_hint == value->cached_func->prim_fn_var->name_hint
? value->cached_func->prim_fn_var
: kv.first;
value->cached_func->funcs->Add(global_var, kv.second);
auto func = kv.second;
// Propagate the structural hash of the relay function to the tir
// function so associations can be made between the two.
Optional<String> hash = key->source_func->attrs.GetAttr<String>("hash");
if (hash) {
func = WithAttrs(Downcast<tir::PrimFunc>(func), {{String("hash"), hash.value()}});
}
value->cached_func->funcs->Add(global_var, func);
}
ICHECK(value->cached_func->funcs->Lookup(value->cached_func->prim_fn_var)
.as<tir::PrimFuncNode>());
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24 changes: 24 additions & 0 deletions tests/python/relay/test_relay_te_compiler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -261,6 +261,30 @@ def test_compile_nhwc_pack():
relay.build(mod, target="llvm")


def test_compile_propogate_hash():
data = relay.var("data", shape=(1, 1, 1, 1024), dtype="uint8")
weight = relay.var("weight", shape=(1, 1, 1024, 1001), dtype="int8")
p2 = relay.var("p2", shape=(1, 1, 1, 1), dtype="int32")
conv = relay.nn.conv2d(
data,
weight,
kernel_size=(1, 1),
data_layout="NHWC",
kernel_layout="HWIO",
out_dtype="int32",
)
multiply = relay.multiply(relay.const(-22, dtype="int32"), p2)
tile = relay.tile(multiply, reps=(1, 1, 1, 1001))
subtract = relay.subtract(conv, tile)

func = subtract
mod = tvm.IRModule.from_expr(relay.Function(relay.analysis.free_vars(func), func))
vm = relay.vm.VMCompiler()
opt_mod, _ = vm.optimize(mod, target="llvm")
for f in opt_mod.functions.values():
assert "hash" in f.attrs.keys()


if __name__ == "__main__":
test_get_valid_implementations()
test_select_implementation()
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