test_tdm_child_op.py 4.8 KB
Newer Older
C
Chengmo 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 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
#   Copyright (c) 2020 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
from op_test import OpTest
import paddle.fluid as fluid


def create_tdm_tree():
    """Create tdm tree info"""
    tree_info = [
        [0, 0, 0, 1, 2],
        [0, 1, 0, 3, 4],
        [0, 1, 0, 5, 6],
        [0, 2, 1, 7, 8],
        [0, 2, 1, 9, 10],
        [0, 2, 2, 11, 12],
        [0, 2, 2, 13, 0],
        [0, 3, 3, 14, 15],
        [0, 3, 3, 16, 17],
        [0, 3, 4, 18, 19],
        [0, 3, 4, 20, 21],
        [0, 3, 5, 22, 23],
        [0, 3, 5, 24, 25],
        [12, 3, 6, 0, 0],
        [0, 4, 7, 0, 0],
        [1, 4, 7, 0, 0],
        [2, 4, 8, 0, 0],
        [3, 4, 8, 0, 0],
        [4, 4, 9, 0, 0],
        [5, 4, 9, 0, 0],
        [6, 4, 10, 0, 0],
        [7, 4, 10, 0, 0],
        [8, 4, 11, 0, 0],
        [9, 4, 11, 0, 0],
        [10, 4, 12, 0, 0],
        [11, 4, 12, 0, 0],
    ]
    return tree_info


class TestTDMChildOp(OpTest):
55

C
Chengmo 已提交
56 57 58 59 60 61
    def setUp(self):
        self.__class__.op_type = "tdm_child"
        self.config()
        tree_info = create_tdm_tree()
        tree_info_np = np.array(tree_info).astype(self.info_type)

62 63
        x_np = np.random.randint(low=0, high=26,
                                 size=self.x_shape).astype(self.x_type)
C
Chengmo 已提交
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 99 100 101 102
        children_res = []
        leaf_mask_res = []
        for batch in x_np:
            for node in batch:
                children = []
                if node != 0:
                    children.append(tree_info[node][3])
                    children.append(tree_info[node][4])
                else:
                    children.append(0)
                    children.append(0)
                mask = []
                for child in children:
                    m = int(tree_info[child][0] != 0)
                    mask.append(m)
                children_res += children
                leaf_mask_res += mask
        children_res_np = np.array(children_res).astype(self.info_type)
        leaf_mask_res_np = np.array(leaf_mask_res).astype(self.info_type)

        child = np.reshape(children_res_np, self.child_shape)
        leaf_mask = np.reshape(leaf_mask_res_np, self.child_shape)

        self.attrs = {'child_nums': 2}
        self.inputs = {'X': x_np, 'TreeInfo': tree_info_np}
        self.outputs = {'Child': child, 'LeafMask': leaf_mask}

    def config(self):
        """set test shape & type"""
        self.x_shape = (10, 20)
        self.child_shape = (10, 20, 2)
        self.x_type = 'int32'
        self.info_type = 'int32'

    def test_check_output(self):
        self.check_output()


class TestCase1(TestTDMChildOp):
103

C
Chengmo 已提交
104 105 106 107 108 109 110 111 112
    def config(self):
        """check int int64_t """
        self.x_shape = (10, 20)
        self.child_shape = (10, 20, 2)
        self.x_type = 'int32'
        self.info_type = 'int64'


class TestCase2(TestTDMChildOp):
113

C
Chengmo 已提交
114 115 116 117 118 119 120 121 122
    def config(self):
        """check int64_t int64_t """
        self.x_shape = (10, 20)
        self.child_shape = (10, 20, 2)
        self.x_type = 'int64'
        self.info_type = 'int64'


class TestCase3(TestTDMChildOp):
123

C
Chengmo 已提交
124 125 126 127 128 129 130 131 132
    def config(self):
        """check int64 int32 """
        self.x_shape = (10, 20)
        self.child_shape = (10, 20, 2)
        self.x_type = 'int64'
        self.info_type = 'int32'


class TestCase4(TestTDMChildOp):
133

C
Chengmo 已提交
134 135 136 137 138 139 140 141 142
    def config(self):
        """check large shape """
        self.x_shape = (100, 20)
        self.child_shape = (100, 20, 2)
        self.x_type = 'int32'
        self.info_type = 'int32'


class TestTDMChildShape(unittest.TestCase):
143

C
Chengmo 已提交
144 145 146 147 148 149 150 151 152
    def test_shape(self):
        x = fluid.layers.data(name='x', shape=[1], dtype='int32', lod_level=1)
        tdm_tree_info = create_tdm_tree()
        tree_info_np = np.array(tdm_tree_info).astype('int32')

        child, leaf_mask = fluid.contrib.layers.tdm_child(
            x=x,
            node_nums=26,
            child_nums=2,
153 154
            param_attr=fluid.ParamAttr(initializer=fluid.initializer.
                                       NumpyArrayInitializer(tree_info_np)))
C
Chengmo 已提交
155 156 157 158 159 160

        place = fluid.CPUPlace()
        exe = fluid.Executor(place=place)
        exe.run(fluid.default_startup_program())

        feed = {
161 162 163
            'x':
            np.array([[1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11],
                      [12]]).astype('int32')
C
Chengmo 已提交
164 165 166 167 168 169
        }
        exe.run(feed=feed)


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