# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================

import numpy as np

import mindspore as ms
import mindspore.ops.operations as P
from mindspore import context, Tensor


def test_cast():
    """ tests cast for same dtype"""
    context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
    input_np = np.random.randn(2, 3, 4, 5).astype(np.float32)
    input_x = Tensor(input_np)
    type_dst = ms.float32
    cast = P.Cast()
    result = cast(input_x, type_dst)
    assert result.dtype == type_dst
