# 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.
# ============================================================================
""" test nn embedding """
import numpy as np

from mindspore import Tensor
from mindspore.common import dtype
from mindspore.common.api import _executor
from mindspore.nn import Embedding
from ..ut_filter import non_graph_engine


@non_graph_engine
def test_check_embedding_1():
    net = Embedding(20000, 768, False)
    input_data = Tensor(np.ones([8, 128]), dtype.int32)
    _executor.compile(net, input_data)


@non_graph_engine
def test_check_embedding_2():
    net = Embedding(20000, 768, True)
    input_data = Tensor(np.ones([8, 128]), dtype.int32)
    _executor.compile(net, input_data)


@non_graph_engine
def test_check_embedding_3():
    net = Embedding(20000, 768, True, "zeros")
    input_data = Tensor(np.ones([8, 128]), dtype.int32)
    _executor.compile(net, input_data)


@non_graph_engine
def test_print_embedding():
    net = Embedding(20000, 768, False)
    print(net)