# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
import numpy as np

import megengine.functional as F
from megengine.core.tensor.raw_tensor import as_raw_tensor


def test_as_raw_tensor():
    x = np.arange(6, dtype="float32").reshape(2, 3)
    xx = as_raw_tensor(x, device="xpux")
    yy = F.add(xx, 1).numpy()
    assert xx.dtype == np.float32
    assert xx.device == "xpux"
    np.testing.assert_almost_equal(yy, x + 1)


def test_as_raw_tensor_from_int64():
    x = np.arange(6, dtype="int64").reshape(2, 3)
    xx = as_raw_tensor(x, dtype="float32", device="xpux")
    yy = F.add(xx, 1).numpy()
    assert xx.dtype == np.float32
    assert xx.device == "xpux"
    np.testing.assert_almost_equal(yy, x.astype("float32") + 1)