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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 pytest
import tvm
from tvm._ffi.base import TVMError
import tvm.testing
from tvm import relax
from tvm.script.parser import relax as R


def _check_inference(bb: relax.BlockBuilder, call: relax.Call, expected_sinfo: relax.StructInfo):
    ret = bb.normalize(call)
    tvm.ir.assert_structural_equal(ret.struct_info, expected_sinfo)


def test_redistribute_R_to_S():
    bb = relax.BlockBuilder()
    mesh = R.device_mesh((4,), list(range(4)))
    x = relax.Var("x", R.DTensor((3, 4), "float32", device_mesh=mesh, placement="R"))

    _check_inference(
        bb,
        R.distributed.redistribute_replica_to_shard(x, num_workers=4, axis=1),
        R.DTensor((3, 4), "float32", device_mesh=mesh, placement="S[1]"),
    )

    # wrong: indivisible
    with pytest.raises(TVMError):
        bb.normalize(R.distributed.redistribute_replica_to_shard(x, num_workers=4, axis=0))

    y = relax.Var("y", R.Tensor((3, 4), "float32"))
    _check_inference(
        bb,
        R.distributed.redistribute_replica_to_shard(y, num_workers=4, axis=1),
        R.Tensor((3, 1), "float32"),
    )

    # wrong: indivisible
    with pytest.raises(TVMError):
        bb.normalize(R.distributed.redistribute_replica_to_shard(y, num_workers=4, axis=0))


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