# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import tvm from tvm import te def nop(): return tvm.tir.Evaluate(0) def test_remove_no_op(): i = te.var("i") j = te.var("j") k = te.var("k") m = te.var("m") n = te.var("n") dtype = "int64" Ab = tvm.tir.decl_buffer((n,), dtype) stmt = tvm.tir.For( i, 0, 4, tvm.tir.ForKind.SERIAL, tvm.tir.For( j, 0, n, tvm.tir.ForKind.SERIAL, tvm.tir.For( k, 0, m, tvm.tir.ForKind.SERIAL, tvm.tir.IfThenElse((i * m + j + k < n), tvm.tir.Evaluate(m), tvm.tir.Evaluate(n)), ), ), ) mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([Ab], stmt)) ret = tvm.tir.transform.RemoveNoOp()(mod)["main"].body assert isinstance(ret, tvm.tir.Evaluate) store = tvm.tir.Store(Ab.data, tvm.tir.Load(dtype, Ab.data, i) + 1, i + 1) stmt2 = tvm.tir.SeqStmt([nop(), tvm.tir.SeqStmt([store, nop()])]) mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([Ab], stmt2)) ret = tvm.tir.transform.RemoveNoOp()(mod)["main"].body assert ret == store # remove zero extent loop stmt3 = tvm.tir.For(i, 0, 0, tvm.tir.ForKind.SERIAL, store) mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([Ab], stmt3)) ret = tvm.tir.transform.RemoveNoOp()(mod)["main"].body assert isinstance(ret, tvm.tir.Evaluate) if __name__ == "__main__": test_remove_no_op()