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"""Test code for clip operator"""
import numpy as np
import tvm
from tvm import te
from tvm import topi
import tvm.testing
import tvm.topi.testing
from tvm.topi.utils import get_const_tuple
from tvm.contrib.pickle_memoize import memoize


def verify_clip(N, a_min, a_max, dtype):
    A = te.placeholder((N, N), dtype=dtype, name="A")
    B = topi.clip(A, a_min, a_max)
    s = te.create_schedule([B.op])

    # use memoize to pickle the test data for next time use
    @memoize("topi.tests.test_topi_clip")
    def get_ref_data():
        a_np = np.random.uniform(a_min * 2, a_max * 2, size=(N, N)).astype(dtype)
        b_np = np.clip(a_np, a_min, a_max)
        return a_np, b_np

    a_np, b_np = get_ref_data()

    def check_device(device, ctx):
        print("Running on target: %s" % device)
        with tvm.target.Target(device):
            s = tvm.topi.testing.get_injective_schedule(device)(B)

        a = tvm.nd.array(a_np, ctx)
        b = tvm.nd.array(np.zeros(get_const_tuple(B.shape), dtype=dtype), ctx)
        f = tvm.build(s, [A, B], device, name="clip")
        f(a, b)
        tvm.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5)

    for device, ctx in tvm.testing.enabled_targets():
        check_device(device, ctx)


@tvm.testing.uses_gpu
def test_clip():
    verify_clip(1024, -127, 127, "float32")
    verify_clip(1024, -127, 127, "int16")
    verify_clip(1024, -127, 127, "int8")


if __name__ == "__main__":
    test_clip()
