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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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# under the License.
import numpy as np
import pytest

import tvm
from tvm import te
from tvm import relay
from tvm.relay import transform

def test_basic():
    mod = tvm.IRModule()
    x2 = relay.var('x2', shape=(10, 5))
    y2 = relay.var('y2', shape=(1, 5))
    level2_func = relay.Function([x2, y2], relay.op.add(x2, y2))

    x1 = relay.var('x1', shape=(10, 5))
    y1 = relay.var('y1', shape=(1, 5))
    level1_func = relay.Function([x1, y1], level2_func(x1, y1))

    mod["main"] = level1_func
    new_mod = transform.LambdaLift()(mod)
    assert len(new_mod.functions) == 2

def test_closure():
    mod = tvm.IRModule()

    x = relay.var('x', shape=(2,))
    y = relay.var('y', shape=(2,))
    inner_func = relay.Function([x], x + y)
    outer_func = relay.Function([y], inner_func)
    clo = outer_func(relay.ones(shape=(2,), dtype="float32"))
    mod["main"] = relay.Function([], relay.Call(clo, [relay.zeros(shape=(2,), dtype="float32")]))

    new_mod = transform.LambdaLift()(mod)
    assert len(new_mod.functions) == 3

def test_recursive():
    mod = tvm.IRModule()

    x = relay.var('x', shape=(2,))
    i = relay.var('i', shape=(), dtype='int32')
    s = relay.var('s', shape=(2,))
    cond = i < relay.const(10, dtype='int32')

    loop = relay.var('while_loop')
    sb = relay.scope_builder.ScopeBuilder()
    with sb.if_scope(cond):
        ii = i + relay.const(1, dtype='int32')
        ss = s + x
        sb.ret(loop(ii, ss))
    with sb.else_scope():
        sb.ret(s)
    func = relay.Function([i, s], sb.get())

    ret = relay.Let(loop, func, loop(relay.const(0, dtype='int32'), relay.zeros(shape=(2,), dtype='float32')))
    mod["main"] = relay.Function([x], ret)

    new_mod = transform.LambdaLift()(mod)
    assert len(new_mod.functions) == 2


if __name__ == "__main__":
    pytest.main()

