tests/python/relax/test_tvmscript_parser_op_image.py

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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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from typing import Optional, Union

import tvm
import tvm.script
import tvm.testing
from tvm import IRModule, relax
from tvm.script import relax as R


def _check(
    parsed: Union[relax.Function, IRModule],
    expect: Optional[Union[relax.Function, IRModule]],
):
    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_resize2d():
    @R.function
    def foo(x: R.Tensor((2, 14, 14, 3), "float32")) -> R.Tensor((2, 28, 28, 3), "float32"):
        gv: R.Tensor((2, 28, 28, 3), "float32") = R.image.resize2d(x, size=(28, 28), layout="NHWC")
        return gv

    bb = relax.BlockBuilder()
    x = relax.Var("x", R.Tensor((2, 14, 14, 3), "float32"))
    with bb.function("foo", [x]):
        gv = bb.emit(relax.op.image.resize2d(x, (28, 28), layout="NHWC"))
        bb.emit_func_output(gv)

    _check(foo, bb.get()["foo"])


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