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96 lines
2.9 KiB
96 lines
2.9 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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import unittest
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import numpy as np
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from op_test import OpTest
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class TestLodResetOpByAttr(OpTest):
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def setUp(self):
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self.op_type = "lod_reset"
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x = np.random.random((10, 20)).astype("float32")
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lod = [[0, 3, 5, 10]]
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target_lod_0 = [0, 7, 10]
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self.inputs = {'X': (x, lod)}
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self.attrs = {'target_lod': target_lod_0}
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self.outputs = {'Out': (x, [target_lod_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 TestLodResetOpByInput(OpTest):
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def setUp(self):
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self.op_type = "lod_reset"
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x = np.random.random((10, 20)).astype("float32")
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lod = [[0, 3, 5, 10]]
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target_lod_0 = [0, 4, 7, 10]
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self.inputs = {
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'X': (x, lod),
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'Y': np.array([target_lod_0]).astype('int32')
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}
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self.outputs = {'Out': (x, [target_lod_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", no_grad_set=set("Y"))
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class TestLodResetOpBoth(OpTest):
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def setUp(self):
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self.op_type = "lod_reset"
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x = np.random.random((10, 20)).astype("float32")
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lod = [[0, 3, 5, 10]]
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target_lod_0_attr = [0, 7, 10]
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target_lod_0_in = [0, 4, 7, 10]
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self.inputs = {
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'X': (x, lod),
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'Y': np.array(target_lod_0_in).astype('int32')
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}
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self.attrs = {'target_lod': target_lod_0_attr}
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self.outputs = {'Out': (x, [target_lod_0_in])}
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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", no_grad_set=set("Y"))
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class TestLodResetOpYIsLoDTensor(OpTest):
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def setUp(self):
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self.op_type = "lod_reset"
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x = np.random.random((10, 20)).astype("float32")
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lod = [[0, 3, 5, 10]]
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y = np.random.random((10, 10)).astype("float32")
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target_lod_0 = [[0, 4, 7, 10]]
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self.inputs = {'X': (x, lod), 'Y': (y, target_lod_0)}
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self.outputs = {'Out': (x, target_lod_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", no_grad_set=set("Y"))
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if __name__ == '__main__':
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unittest.main()
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