test_feed_fetch_method.py 1.5 KB
Newer Older
1
#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
D
dzhwinter 已提交
2
#
D
dzhwinter 已提交
3 4 5
# 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
D
dzhwinter 已提交
6
#
D
dzhwinter 已提交
7
#     http://www.apache.org/licenses/LICENSE-2.0
D
dzhwinter 已提交
8
#
D
dzhwinter 已提交
9 10 11 12 13 14
# 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.

15 16
from __future__ import print_function

17
import paddle.fluid.core as core
Q
init  
qijun 已提交
18 19 20 21 22 23
import unittest
import numpy as np


class TestFeedFetch(unittest.TestCase):
    def test_feed_fetch(self):
Y
Yu Yang 已提交
24
        scope = core.Scope()
Q
init  
qijun 已提交
25
        place = core.CPUPlace()
Q
qijun 已提交
26
        input_array = np.ones((4, 4, 6)).astype("float32")
Q
init  
qijun 已提交
27 28
        input_array[0, 0, 0] = 3
        input_array[3, 3, 5] = 10
29
        input_tensor = core.LoDTensor([[2, 2]])
Q
init  
qijun 已提交
30 31
        input_tensor.set(input_array, place)

Y
Yu Yang 已提交
32
        core.set_feed_variable(scope, input_tensor, "feed", 0)
Q
qijun 已提交
33

Y
Yu Yang 已提交
34
        output_tensor = core.get_fetch_variable(scope, "feed", 0)
Q
qijun 已提交
35

36 37
        output_lod = output_tensor.recursive_sequence_lengths()
        self.assertEqual(2, output_lod[0][0])
Q
qijun 已提交
38 39 40 41 42 43
        self.assertEqual(2, output_lod[0][1])

        output_array = np.array(output_tensor)
        self.assertEqual(3, output_array[0, 0, 0])
        self.assertEqual(10, output_array[3, 3, 5])

Q
init  
qijun 已提交
44 45 46

if __name__ == "__main__":
    unittest.main()