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Paddle/python/paddle/fluid/tests/unittests/test_partial_sum_op.py

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# 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.
from __future__ import print_function
import unittest
import numpy as np
from op_test import OpTest
import paddle.fluid.core as core
from paddle.fluid.op import Operator
import paddle.fluid.layers as layers
import paddle.fluid as fluid
import random
import six
class TestPartialSumOp(OpTest):
def setUp(self):
self.op_type = "partial_sum"
self.init_kernel_type()
self.init_para()
if self.length is -1:
end_index = self.column
else:
end_index = self.start_index + self.length
self.var_names = [
'x' + str(num) for num in six.moves.range(self.var_num)
]
self.vars = [np.random.random((self.batch_size, self.column)).astype(self.dtype)\
for num in six.moves.range(self.var_num) ]
self.inputs = {'X': list(zip(self.var_names, self.vars))}
self.attrs = {'start_index': self.start_index, 'length': self.length}
y = self.vars[0][:, self.start_index:end_index]
for i in six.moves.range(1, self.var_num):
y = y + self.vars[i][:, self.start_index:end_index]
self.outputs = {'Out': y}
def init_kernel_type(self):
self.dtype = np.float64
def init_para(self):
self.batch_size = random.randint(10, 20)
self.column = random.randint(101, 200)
self.start_index = random.randint(0, self.column - 1)
self.length = random.randint(0, self.column - self.start_index)
self.var_num = random.randint(1, 3)
def test_check_output(self):
self.check_output()
def test_check_grad(self):
for var_name in self.var_names:
self.check_grad([var_name], 'Out')
class TestPartialSumOp2(TestPartialSumOp):
def init_para(self):
self.batch_size = random.randint(1, 10)
self.column = random.randint(101, 200)
self.start_index = random.randint(0, self.column - 1)
self.length = -1
self.var_num = 3
class TestPartialSumOp3(TestPartialSumOp):
def init_para(self):
self.batch_size = random.randint(1, 10)
self.column = random.randint(101, 200)
self.start_index = self.column - 1
self.length = 1
self.var_num = 2
class TestPartialSumOp4(TestPartialSumOp):
def init_para(self):
self.batch_size = random.randint(1, 10)
self.column = random.randint(101, 200)
self.start_index = self.column - 1
self.length = 1
self.var_num = 1
if __name__ == "__main__":
unittest.main()