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"""Test code for tensor operator"""
import numpy as np
import tvm
import topi
from tvm.contrib.pickle_memoize import memoize

def verify_elemwise_sum(num_args, dtype):
    shape = (3,5,4)

    tvm_placeholders = []
    for i in range(num_args):
        tvm_placeholders.append(
            tvm.placeholder(shape, name="data"+str(i), dtype=dtype))
    esum = topi.elemwise_sum(tvm_placeholders)
    s = tvm.create_schedule([esum.op])

    @memoize("topi.tests.test_topi_elemwise_sum")
    def get_ref_data():
        np_nd = [np.random.uniform(0, 10, size=shape).astype(dtype)
                 for i in range(num_args)]
        return np_nd
    np_nd = get_ref_data()

    def check_device(device):
        if not tvm.module.enabled(device):
            print("Skip because %s is not enabled" % device)
            return

        ctx = tvm.context(device, 0)
        out = tvm.nd.array(np.zeros(shape, dtype=dtype), ctx)
        f = tvm.build(s, tvm_placeholders + [esum], device, name="elemwise_sum")
        tvm_nd = [tvm.nd.array(nd, ctx) for nd in np_nd] + [out]
        f(*tvm_nd)
        np_out = np.sum(np.array(np_nd), axis=0)
        tvm.testing.assert_allclose(out.asnumpy(), np_out, rtol=1e-5)

    for device in ["llvm"]:
        check_device(device)


def verify_full(shape, dtype, fill_value):
    A = tvm.placeholder(shape, dtype=dtype, name="A")
    B = topi.full_like(A, fill_value=fill_value)
    C = topi.full(shape=shape, dtype=dtype, fill_value=fill_value)
    s1 = tvm.create_schedule([B.op])
    s2 = tvm.create_schedule([C.op])

    @memoize("topi.tests.test_topi_full")
    def get_ref_data():
        return np.full(shape, fill_value, dtype)
    np_nd = get_ref_data()

    def check_device(device):
        if not tvm.module.enabled(device):
            print("Skip because %s is not enabled" % device)
            return

        ctx = tvm.context(device, 0)
        out = tvm.nd.array(np.zeros(shape, dtype=dtype), ctx)
        f = tvm.build(s1, [A, B], device, name="full_like")
        f(tvm.nd.array(np.zeros(shape, dtype), ctx), out)
        tvm.testing.assert_allclose(out.asnumpy(), np_nd, rtol=1e-5)

        f = tvm.build(s2, [C], device, name="full")
        f(out)
        tvm.testing.assert_allclose(out.asnumpy(), np_nd, rtol=1e-5)

    for device in ["llvm"]:
        check_device(device)


def test_elemwise_sum():
    verify_elemwise_sum(1, "float32")
    verify_elemwise_sum(5, "float32")
    verify_elemwise_sum(4, "int32")


def test_full():
    verify_full((3,4,5), "float32", 3.14)
    verify_full((10,), "int32", 7)


if __name__ == "__main__":
    test_elemwise_sum()
    test_full()
