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66 lines
2.2 KiB
66 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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from paddle.fluid.layers import data
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from paddle.fluid.layers.control_flow import lod_rank_table
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from paddle.fluid.executor import Executor
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from paddle.fluid import Program, program_guard, core
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import numpy
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import unittest
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class TestLoDRankTable(unittest.TestCase):
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def test_lod_rank_table(self):
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x = data(name='x', shape=[100])
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cpu = core.CPUPlace()
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rank_table = lod_rank_table(x=x, level=1)
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rank_table.persistable = True
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exe = Executor(cpu)
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scope = core.Scope()
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tensor = core.LoDTensor()
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tensor.set(numpy.random.random(size=(17, 100)), cpu)
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tensor.set_recursive_sequence_lengths(
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[[1, 2], [5, 1, 1], [3, 1, 5, 1, 3, 3, 1]])
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exe.run(scope=scope, feed={'x': tensor})
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var = scope.find_var(rank_table.name)
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table = var.get_lod_rank_table()
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self.assertEqual([(0, 5), (1, 1), (2, 1)], list(table.items()))
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class TestLoDRankTableError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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x = numpy.random.random((2, 4)).astype("float32")
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def test_Variable():
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rank_table = lod_rank_table(x=x, level=1)
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self.assertRaises(TypeError, test_Variable)
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def test_list_Variable():
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rank_table = lod_rank_table(x=[x], level=1)
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self.assertRaises(TypeError, test_list_Variable)
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x = data(name='x', shape=[10], dtype='float32', lod_level=1)
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out = lod_rank_table(x=x, level=0)
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out = lod_rank_table(x=[x], level=0)
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if __name__ == '__main__':
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unittest.main()
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