forked from mindspore-Ecosystem/mindspore
50 lines
1.5 KiB
Python
Executable File
50 lines
1.5 KiB
Python
Executable File
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test nn embedding """
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import numpy as np
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from mindspore import Tensor
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from mindspore.common import dtype
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from mindspore.common.api import _executor
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from mindspore.nn import Embedding
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from ..ut_filter import non_graph_engine
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@non_graph_engine
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def test_check_embedding_1():
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net = Embedding(20000, 768, False)
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input_data = Tensor(np.ones([8, 128]), dtype.int32)
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_executor.compile(net, input_data)
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@non_graph_engine
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def test_check_embedding_2():
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net = Embedding(20000, 768, True)
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input_data = Tensor(np.ones([8, 128]), dtype.int32)
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_executor.compile(net, input_data)
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@non_graph_engine
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def test_check_embedding_3():
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net = Embedding(20000, 768, True, "zeros")
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input_data = Tensor(np.ones([8, 128]), dtype.int32)
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_executor.compile(net, input_data)
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@non_graph_engine
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def test_print_embedding():
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net = Embedding(20000, 768, False)
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print(net)
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