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# ruff: noqa: F401

"""
Test relax transform - Eliminate redundant reshape operations
"""

import tvm.testing
from tvm import relax
from tvm.relax.transform import DeadCodeElimination, RemoveRedundantReshape
from tvm.script import ir as I
from tvm.script import relax as R


def _run_pass_compare_output(Before, Expected):
    fused_mod = RemoveRedundantReshape()(Before)
    fused_mod = DeadCodeElimination()(fused_mod)
    tvm.ir.assert_structural_equal(Expected, fused_mod)


def test_remove_redundant_reshape_pass_one_arg():
    @I.ir_module
    class Before:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001), dtype="float16"
        ):
            with R.dataflow():
                lv: R.Tensor((1, 1001), dtype="float16") = R.reshape(x, R.shape([1, 1001]))
                lv1: R.Tensor((1, 1001), dtype="float16") = R.reshape(lv, R.shape([1, 1001]))
                gv: R.Tensor((1, 1001), dtype="float16") = R.reshape(lv1, R.shape([1, 1001]))
                R.output(gv)
            return gv

    @I.ir_module
    class Expected:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001), dtype="float16"
        ):
            with R.dataflow():
                gv: R.Tensor((1, 1001), dtype="float16") = R.reshape(x, R.shape([1, 1001]))
                R.output(gv)
            return gv

    _run_pass_compare_output(Before, Expected)


def test_remove_redundant_reshape_pass_two_arg():
    @I.ir_module
    class Before:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001), dtype="float16"
        ):
            with R.dataflow():
                lv: R.Tensor((1, 1001, 1), dtype="float16") = R.reshape(x, R.shape([1, 1001, 1]))
                lv1: R.Tensor((1, 1001), dtype="float16") = R.reshape(lv, R.shape([1, 1001]))
                R.output(lv1)
            return lv1

    @I.ir_module
    class Expected:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001), dtype="float16"
        ):
            with R.dataflow():
                lv1: R.Tensor((1, 1001), dtype="float16") = R.reshape(x, R.shape([1, 1001]))
                R.output(lv1)
            return lv1

    _run_pass_compare_output(Before, Expected)


def test_remove_redundant_reshape_pass_three_arg():
    @I.ir_module
    class Before:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001, 1, 1), dtype="float16"
        ):
            with R.dataflow():
                lv: R.Tensor((1, 1001, 1, 1), dtype="float16") = R.reshape(
                    x, R.shape([1, 1001, 1, 1])
                )
                R.output(lv)
            return lv

    @I.ir_module
    class Expected:
        @R.function
        def main(x: R.Tensor((1, 1001, 1, 1), dtype="float16")) -> R.Tensor(
            (1, 1001, 1, 1), dtype="float16"
        ):
            return x

    _run_pass_compare_output(Before, Expected)


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