test_activation_mkldnn_op.py 2.8 KB
Newer Older
M
Commit  
mozga-intel 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# 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.

import unittest
import numpy as np
import paddle.fluid.core as core
18
from .op_test import OpTest
M
Commit  
mozga-intel 已提交
19
from scipy.special import expit
20
from .test_activation_op import TestRelu, TestTanh, TestSqrt, TestAbs
M
Commit  
mozga-intel 已提交
21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 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 90 91 92 93 94 95 96 97 98 99


class TestMKLDNNReluDim2(TestRelu):
    def setUp(self):
        super(TestMKLDNNReluDim2, self).setUp()

        self.attrs = {"use_mkldnn": True}


class TestMKLDNNTanhDim2(TestTanh):
    def setUp(self):
        super(TestMKLDNNTanhDim2, self).setUp()

        self.attrs = {"use_mkldnn": True}


class TestMKLDNNSqrtDim2(TestSqrt):
    def setUp(self):
        super(TestMKLDNNSqrtDim2, self).setUp()

        self.attrs = {"use_mkldnn": True}


class TestMKLDNNAbsDim2(TestAbs):
    def setUp(self):
        super(TestMKLDNNAbsDim2, self).setUp()
        self.attrs = {"use_mkldnn": True}


class TestMKLDNNReluDim4(TestRelu):
    def setUp(self):
        super(TestMKLDNNReluDim4, self).setUp()

        x = np.random.uniform(-1, 1, [2, 4, 3, 5]).astype("float32")
        # The same reason with TestAbs
        x[np.abs(x) < 0.005] = 0.02
        out = np.maximum(x, 0)

        self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
        self.outputs = {'Out': out}
        self.attrs = {"use_mkldnn": True}


class TestMKLDNNTanhDim4(TestTanh):
    def setUp(self):
        super(TestMKLDNNTanhDim4, self).setUp()

        self.inputs = {
            'X': np.random.uniform(0.1, 1, [2, 4, 3, 5]).astype("float32")
        }
        self.outputs = {'Out': np.tanh(self.inputs['X'])}
        self.attrs = {"use_mkldnn": True}


class TestMKLDNNSqrtDim4(TestSqrt):
    def setUp(self):
        super(TestMKLDNNSqrtDim4, self).setUp()

        self.inputs = {
            'X': np.random.uniform(0.1, 1, [2, 4, 3, 5]).astype("float32")
        }
        self.outputs = {'Out': np.sqrt(self.inputs['X'])}
        self.attrs = {"use_mkldnn": True}


class TestMKLDNNAbsDim4(TestAbs):
    def setUp(self):
        super(TestMKLDNNAbsDim4, self).setUp()

        x = np.random.uniform(-1, 1, [2, 4, 3, 5]).astype("float32")
        # The same reason with TestAbs
        x[np.abs(x) < 0.005] = 0.02
        self.inputs = {'X': x}
        self.outputs = {'Out': np.abs(self.inputs['X'])}
        self.attrs = {"use_mkldnn": True}


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