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[VM] add removeUnusedFunctions pass in vm memoryopt #8040

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Merged
zhiics merged 2 commits into from
May 20, 2021
Merged

[VM] add removeUnusedFunctions pass in vm memoryopt #8040

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8901cfc
add removeUnusedFunctions pass in vm memoryopt
May 14, 2021
302a509
fix lint
May 14, 2021
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3 changes: 3 additions & 0 deletions src/relay/backend/vm/compiler.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -978,6 +978,9 @@ void VMCompiler::Lower(IRModule mod, const TargetsMap& targets, const tvm::Targe

transform::Sequential MemoryOpt(tvm::Target host_target, TargetsMap targets) {
Array<Pass> pass_seqs;
// Remove unused functions
Array<runtime::String> entry_functions{"main"};
pass_seqs.push_back(transform::RemoveUnusedFunctions(entry_functions));
// Manifest the allocations.
pass_seqs.push_back(transform::ManifestAlloc(host_target, targets));

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26 changes: 26 additions & 0 deletions tests/python/relay/test_vm.py
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Expand Up @@ -29,6 +29,7 @@
from tvm.contrib import utils
from tvm import rpc
import tvm.testing
from tvm.relay.transform import InferType


def check_result(args, expected_result, mod=None):
Expand Down Expand Up @@ -186,6 +187,31 @@ def test_multiple_ifs():
assert res == [1, 0]


@tvm.testing.uses_gpu
def test_unused_function():
cond = relay.const(True)
mod = tvm.IRModule()
then_name = relay.GlobalVar("times_2")
# define unused function
else_name = relay.GlobalVar("times_3")
t1 = relay.TensorType((2, 2), dtype="float32")
x1 = relay.var("x1", t1, dtype="float32")
x2 = relay.var("x2", t1, dtype="float32")
f2 = relay.multiply(x1, relay.const(2.0))
f3 = relay.multiply(x2, relay.const(3.0))
mod[then_name] = relay.Function([x1], f2)
mod[else_name] = relay.Function([x2], f3)
mod = InferType()(mod)
x3 = relay.var("x3", t1, dtype="float32")
# put unused function in else branch
f = relay.If(cond, then_name(x3), else_name(x3))
mod["main"] = relay.Function([x3], f)
x_data = np.random.rand(2, 2).astype("float32")
y_data = x_data * 2

check_result([x_data], y_data, mod=mod)


@tvm.testing.uses_gpu
def test_simple_call():
mod = tvm.IRModule({})
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