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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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import tvm
import tvm.testing
from tvm.relax.frontend import detach_params
from tvm.script.parser import relax as R


def test_detach_params():
    @R.function
    def func(x: R.Tensor((2, 3), "float32")):
        return x

    param = tvm.nd.empty((3,), "float32")
    mod = tvm.IRModule({"func": func.with_attr("params", [param])})
    detached_mod, detached_params = detach_params(mod)

    tvm.ir.assert_structural_equal(detached_mod, tvm.IRModule({"func": func}))
    assert len(detached_params) == 1
    assert "func" in detached_params
    assert isinstance(detached_params["func"], list)
    assert len(detached_params["func"]) == 1
    tvm.testing.assert_allclose(detached_params["func"][0].numpy(), param.numpy())


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