test_sequence_mask.py

# 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.

from op_test import OpTest
from paddle.fluid.framework import convert_np_dtype_to_dtype_
import numpy as np
import copy
import unittest


class SequenceMaskTestBase(OpTest):
    def initDefaultParameters(self):
        self.op_type = 'sequence_mask'
        self.max_len = 10
        self.mask_dtype = 'int64'
        self.x = [[0, 3, 4], [5, 7, 9]]

    def initParameters(self):
        pass

    def setUp(self):
        self.initDefaultParameters()
        self.initParameters()
        if not isinstance(self.x, np.ndarray):
            self.x = np.array(self.x)

        self.inputs = {'X': self.x}
        self.outputs = {'Y': self.calc_ground_truth_mask()}
        self.attrs = {
            'max_len': self.max_len,
            'out_dtype': convert_np_dtype_to_dtype_(self.mask_dtype)
        }

    def calc_ground_truth_mask(self):
        shape = self.x.shape + (self.max_len, )
        index_broadcast = np.broadcast_to(
            np.reshape(
                range(self.max_len), newshape=[1] * self.x.ndim + [-1]),
            shape=shape)
        x_broadcast = np.broadcast_to(
            np.reshape(
                self.x, newshape=self.x.shape + (-1, )), shape=shape)
        return (index_broadcast < x_broadcast).astype(self.mask_dtype)

    def test_check_output(self):
        self.check_output()


class SequenceMaskTest1(SequenceMaskTestBase):
    def initParameters(self):
        self.mask_dtype = 'bool'


class SequenceMaskTest2(SequenceMaskTestBase):
    def initParameters(self):
        self.mask_dtype = 'uint8'


class SequenceMaskTest3(SequenceMaskTestBase):
    def initParameters(self):
        self.mask_dtype = 'int32'


class SequenceMaskTest4(SequenceMaskTestBase):
    def initParameters(self):
        self.mask_dtype = 'float32'


class SequenceMaskTest5(SequenceMaskTestBase):
    def initParameters(self):
        self.mask_dtype = 'float64'


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