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65 lines
2.3 KiB
65 lines
2.3 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 math
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import unittest
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from paddle.fluid.transpiler.distribute_transpiler import slice_variable
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import paddle.fluid as fluid
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import paddle.fluid.core as core
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import random
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class TestSliceVar(unittest.TestCase):
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def check_slice_output(self, shapes, expected_sizes, min_size):
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var_list = []
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program = fluid.Program()
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for shape in shapes:
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var = program.global_block().create_var(
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name=str(random.randint(10000, 99999)),
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persistable=True,
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# dtype=core.VarDesc.VarType.LOD_TENSOR,
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shape=shape)
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var_list.append(var)
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blocks = slice_variable(var_list, 10, min_size)
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all_sizes = []
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for s in expected_sizes:
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for s2 in s:
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all_sizes.append(s2)
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for i, block_str in enumerate(blocks):
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varname, block_id, size = block_str.split(":")
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self.assertEqual(int(size), all_sizes[i])
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def test_1k(self):
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shapes = [[3, 5], [1024], [28, 784], [8, 1020], [800, 10]]
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expected_sizes = [
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[15], [1024],
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[2352, 2352, 2352, 2352, 2352, 2352, 2352, 2352, 2352, 784],
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[2040, 2040, 2040, 2040],
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[1150, 1150, 1150, 1150, 1150, 1150, 1100]
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]
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self.check_slice_output(shapes, expected_sizes, 1024)
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def test_check_output_8k(self):
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shapes = [[3, 5], [1024], [28, 784], [8, 1020], [800, 10],
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[6, 33, 33, 33]]
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expected_sizes = [[15], [1024], [10976, 10976], [8160], [8000],
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[35937, 35937, 35937, 35937, 35937, 35937]]
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self.check_slice_output(shapes, expected_sizes, 8192)
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if __name__ == '__main__':
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unittest.main()
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