forked from mindspore-Ecosystem/mindspore
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
# Copyright 2019 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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import numpy as np
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import mindspore.dataset as ds
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# Generate 1d int numpy array from 0 - 63
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def generator_1d():
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for i in range(64):
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yield (np.array([i]),)
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def test_case_0():
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"""
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Test 1D Generator
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"""
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# apply dataset operations
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data1 = ds.GeneratorDataset(generator_1d, ["data"])
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data1 = data1.shuffle(2)
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data1 = data1.map(["data"], operations=(lambda x: x))
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data1 = data1.batch(2)
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i = 0
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for item in data1.create_dict_iterator(): # each data is a dictionary
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pass
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if __name__ == "__main__":
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test_case_0()
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