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130 lines
3.6 KiB
130 lines
3.6 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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class TestSumOp1(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.attrs = {'axis': 2}
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self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")}
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self.outputs = {'Out': self.inputs['X'].cumsum(axis=2)}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp2(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.attrs = {'axis': -1, 'reverse': True}
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self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")}
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self.outputs = {
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'Out': np.flip(
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np.flip(
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self.inputs['X'], axis=2).cumsum(axis=2), axis=2)
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}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp3(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.attrs = {'axis': 1}
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self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")}
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self.outputs = {'Out': self.inputs['X'].cumsum(axis=1)}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp4(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.attrs = {'axis': 0}
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self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")}
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self.outputs = {'Out': self.inputs['X'].cumsum(axis=0)}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp5(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.inputs = {'X': np.random.random((5, 6)).astype("float64")}
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self.outputs = {'Out': self.inputs['X'].cumsum(axis=1)}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp7(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.inputs = {'X': np.random.random((6)).astype("float64")}
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self.outputs = {'Out': self.inputs['X'].cumsum(axis=0)}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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class TestSumOp8(OpTest):
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def setUp(self):
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self.op_type = "cumsum"
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self.attrs = {'axis': 2, "exclusive": True}
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a = np.random.random((5, 6, 3)).astype("float64")
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self.inputs = {'X': a}
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self.outputs = {
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'Out': np.concatenate(
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(np.zeros(
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(5, 6, 1), dtype=np.float64), a[:, :, :-1].cumsum(axis=2)),
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axis=2)
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}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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if __name__ == '__main__':
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unittest.main()
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