chore: import upstream snapshot with attribution
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# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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import numpy as np
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from paddle.base import core
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class TestFeedFetch(unittest.TestCase):
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def test_feed_fetch(self):
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scope = core.Scope()
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place = core.CPUPlace()
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input_array = np.ones((4, 4, 6)).astype("float32")
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input_array[0, 0, 0] = 3
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input_array[3, 3, 5] = 10
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input_tensor = core.DenseTensor([[2, 2]])
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input_tensor.set(input_array, place)
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core.set_feed_variable(scope, input_tensor, "feed", 0)
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output = scope.var("fetch").get_fetch_list()
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output.append(input_tensor)
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output_tensor = core.get_fetch_variable(scope, "fetch", 0)
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output_array = np.array(output_tensor)
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self.assertEqual(3, output_array[0, 0, 0])
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self.assertEqual(10, output_array[3, 3, 5])
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if __name__ == "__main__":
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unittest.main()
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