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# 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 test_inline():
    m = te.size_var('m')
    A = te.placeholder((m,), name='A')
    T = te.compute((m,), lambda i,: A[i] + 10, name='T')
    stmt = tvm.tir.Evaluate(T[10] + 11 * T[100])
    stmt = tvm.tir.ir_pass.Inline(
        stmt, T.op, [x.var for x in T.op.axis], T.op.body[0])
    print(stmt)
    assert(tvm.tir.ir_pass.VerifySSA(stmt))

    try:
        # pass in int array(wrong argument type)
        # must raise an error
        stmt = tvm.tir.ir_pass.Inline(
            T.op, [1,2,3], T.op.body, stmt)
        assert False
    except tvm.error.TVMError:
        pass

def test_inline2():
    m = te.size_var('m')
    A = te.placeholder((m,), name='A')
    T = te.compute((m,), lambda i,: A[i] + 10, name='T')
    stmt = tvm.tir.Evaluate(te.exp(T[10]) + 11 * T[100])
    stmt = tvm.tir.ir_pass.Inline(
        stmt, T.op, [x.var for x in T.op.axis], T.op.body[0])
    def check(op):
        if isinstance(op, tvm.tir.Call):
            assert op.func != T.op
    tvm.tir.ir_pass.PostOrderVisit(stmt, check)


if __name__ == "__main__":
    test_inline2()
    test_inline()
