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74 lines
2.2 KiB
74 lines
2.2 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 paddle.fluid.core as core
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import numpy as np
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from paddle.fluid.op import Operator
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class TestMergeSelectedRows(unittest.TestCase):
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def get_places(self):
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places = [core.CPUPlace()]
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if core.is_compiled_with_cuda():
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places.append(core.CUDAPlace(0))
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return places
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def check_with_place(self, place):
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scope = core.Scope()
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x_rows = [0, 5, 5, 4, 19]
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out_rows = [0, 4, 5, 19]
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height = 20
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row_numel = 2
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np_array = np.ones((len(x_rows), row_numel)).astype("float32")
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np_array[1, :] = 2.0
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np_array[2, :] = 3.0
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np_array[3, :] = 4.0
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# initialize input variable X
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x = scope.var('X').get_selected_rows()
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x.set_rows(x_rows)
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x.set_height(height)
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x_tensor = x.get_tensor()
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x_tensor.set(np_array, place)
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# initialize input variable Out
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out = scope.var("Out").get_selected_rows()
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op = Operator("merge_selected_rows", X="X", Out="Out")
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op.run(scope, place)
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self.assertEqual(out.rows(), out_rows)
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self.assertEqual(out.height(), height)
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out_array = np.array(out.get_tensor())
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self.assertEqual((4, 2), out_array.shape)
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assert (out_array[0, :] == 1.0).all()
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assert (out_array[1, :] == 4.0).all()
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assert (out_array[2, :] == 5.0).all()
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assert (out_array[3, :] == 1.0).all()
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def test_check_output(self):
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for place in self.get_places():
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self.check_with_place(place)
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if __name__ == "__main__":
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unittest.main()
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