57 lines
1.7 KiB
57 lines
1.7 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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 paddle.v2.fluid.op import Operator
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import paddle.v2.fluid.core as core
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def create_tensor(scope, name, np_data):
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tensor = scope.var(name).get_tensor()
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tensor.set_dims(np_data.shape)
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tensor.set(np_data, core.CPUPlace())
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return tensor
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class TestIsEmptyOp(unittest.TestCase):
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def setUp(self):
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self.scope = core.Scope()
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# create input variables
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np_data0 = np.array([0, 1, 2])
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create_tensor(self.scope, "X0", np_data0)
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np_data1 = np.array([1])
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t = create_tensor(self.scope, "X1", np_data1)
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t.set_dims([0])
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# create output variables
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self.scope.var("out")
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def test_no_empty(self):
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self.one_case("X0", False)
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def test_empty(self):
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self.one_case("X1", True)
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def one_case(self, input, target):
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op = Operator(type="is_empty", X=input, Out="out")
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op.run(self.scope, core.CPUPlace())
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out = self.scope.var("out").get_tensor()
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self.assertEqual(np.array(out)[0], target)
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if __name__ == "__main__":
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unittest.main()
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