test_scale_op.py 3.0 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 18
import unittest
import numpy as np
19
from op_test import OpTest
20 21
import paddle.fluid.core as core
from paddle.fluid.op import Operator
22 23


24
class TestScaleOp(OpTest):
Y
Yu Yang 已提交
25
    def setUp(self):
Q
qijun 已提交
26 27
        self.op_type = "scale"
        self.inputs = {'X': np.random.random((10, 10)).astype("float32")}
Y
Yu Yang 已提交
28 29 30
        self.attrs = {'scale': -2.3}
        self.outputs = {'Out': self.inputs['X'] * self.attrs['scale']}

Q
qijun 已提交
31 32
    def test_check_output(self):
        self.check_output()
Y
Yu Yang 已提交
33

Q
qijun 已提交
34 35
    def test_check_grad(self):
        self.check_grad(['X'], 'Out')
Y
Yu Yang 已提交
36 37


38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89
class TestScaleOpSelectedRows(unittest.TestCase):
    def check_with_place(self, place, in_name, out_name):
        scope = core.Scope()

        # create and initialize Grad Variable
        in_height = 10
        in_rows = [0, 4, 7]
        in_row_numel = 12
        scale = 2.0

        in_selected_rows = scope.var(in_name).get_selected_rows()
        in_selected_rows.set_height(in_height)
        in_selected_rows.set_rows(in_rows)
        in_array = np.random.random(
            (len(in_rows), in_row_numel)).astype("float32")

        in_tensor = in_selected_rows.get_tensor()
        in_tensor.set(in_array, place)

        # create and initialize Param Variable
        out_selected_rows = scope.var(out_name).get_selected_rows()
        out_tensor = out_selected_rows.get_tensor()
        out_tensor._set_dims(in_tensor._get_dims())

        # create and run sgd operator
        scale_op = Operator("scale", X=in_name, Out=out_name, scale=scale)
        scale_op.run(scope, place)

        # get and compare result
        out_height = out_selected_rows.height()
        out_rows = out_selected_rows.rows()
        result_array = np.array(out_tensor)

        assert (in_array * scale == result_array).all()
        assert in_height == out_height
        assert in_rows == out_rows

    def test_scale_selected_rows(self):
        places = [core.CPUPlace()]
        if core.is_compiled_with_cuda():
            places.append(core.CUDAPlace(0))
        for place in places:
            self.check_with_place(place, 'in', 'out')

    def test_scale_selected_rows_inplace(self):
        places = [core.CPUPlace()]
        if core.is_compiled_with_cuda():
            places.append(core.CUDAPlace(0))
        for place in places:
            self.check_with_place(place, 'in', 'in')


Q
qijun 已提交
90
if __name__ == "__main__":
91
    unittest.main()