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# 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
#
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# specific language governing permissions and limitations
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import tvm
import tvm.script
import tvm.testing
from tvm import IRModule, relax
from tvm.script import relax as R


def _check(
    parsed: relax.Function | IRModule,
    expect: relax.Function | IRModule | None,
):
    test = parsed.script(show_meta=True)
    roundtrip_mod = tvm.script.from_source(test)
    tvm.ir.assert_structural_equal(parsed, roundtrip_mod)
    if expect:
        tvm.ir.assert_structural_equal(parsed, expect)


def test_astype():
    @R.function
    def expected(x: R.Tensor((2, 3, 4), "float32")) -> R.Tensor((2, 3, 4), "float16"):
        gv: R.Tensor((2, 3, 4), "float16") = R.astype(x, "float16")
        return gv

    x = relax.Var("x", R.Tensor((2, 3, 4), "float32"))
    bb = relax.BlockBuilder()
    with bb.function("main", [x]):
        gv = bb.emit(relax.op.astype(x, "float16"))
        bb.emit_func_output(gv)

    _check(expected.with_attr("global_symbol", "main"), bb.get()["main"])


if __name__ == "__main__":
    tvm.testing.main()
