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- # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
-
- import unittest
-
- import paddle
- from paddle.base import core
- from paddle.base.framework import in_dygraph_mode
-
-
- class TestDataParallelGroup(unittest.TestCase):
- def _create_var(self, dtype, shape):
- return paddle.rand(shape=shape, dtype=dtype)
-
- def assign_group_by_size(self, *args):
- if in_dygraph_mode():
- return core.eager_assign_group_by_size(*args)
-
- def test_construct_group0(self):
- # one dtype & one limit capability
- var_list = []
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 100]))
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False], [400]
- )
- self.assertEqual([[0], [1], [2], [3]], res)
-
- def test_construct_group1(self):
- # multi dtype & one limit capability
- var_list = []
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False, False, False], [400]
- )
- self.assertEqual([[0, 2], [1, 3], [4], [5]], res)
-
- def test_construct_group2(self):
- # one dtype & multi limit capability
- var_list = []
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 50]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False], [400, 800]
- )
- self.assertEqual([[0], [1, 2], [3]], res)
-
- def test_construct_group3(self):
- # multi dtype & multi limit capability
- var_list = []
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False, False, False], [200, 400]
- )
- self.assertEqual([[0], [1], [2, 4], [3, 5]], res)
-
- def test_construct_group4(self):
- # multi dtype & zero limit capability
- var_list = []
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False, False, False], [0]
- )
- self.assertEqual([[0], [1], [2], [3], [4], [5]], res)
-
- def test_construct_group5(self):
- # multi dtype & infinite capability
- var_list = []
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False, False, False], [10000]
- )
- self.assertEqual([[0, 2, 4], [1, 3, 5]], res)
-
- def test_construct_group6(self):
- # multi dtype & limit capability & multi tensor type
- var_list = []
- var_list.append(
- self._create_var(
- "float32",
- [1, 50],
- )
- )
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [True, False, False, False, False, True], [400]
- )
- self.assertEqual([[0], [1, 3], [2, 4], [5]], res)
-
- def test_construct_group7(self):
- # multi dtype & multi limit capability & multi tensor type
- var_list = []
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- var_list.append(self._create_var("float32", [1, 50]))
- var_list.append(self._create_var("float64", [1, 25]))
- res = self.assign_group_by_size(
- var_list, [True, False, False, False, False, True], [200, 400]
- )
- self.assertEqual([[0], [1], [2], [3], [4], [5]], res)
-
- def test_construct_group8(self):
- # one dtype & one limit capability & have tensor_indices
- var_list = []
- var_list.append(self._create_var("float32", [2, 25]))
- var_list.append(self._create_var("float32", [2, 100]))
- var_list.append(self._create_var("float32", [2, 50]))
- var_list.append(self._create_var("float32", [2, 25]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, False], [400], [3, 0, 1, 2]
- )
- self.assertEqual([[3, 0], [1], [2]], res)
-
- def test_construct_group9(self):
- # one dtype & one limit capability & have tensor_indices
- var_list = []
- var_list.append(self._create_var("float32", [2, 25]))
- var_list.append(self._create_var("float32", [2, 25]))
- var_list.append(self._create_var("float32", [2, 25]))
- var_list.append(self._create_var("float32", [2, 1000]))
- res = self.assign_group_by_size(
- var_list, [False, False, False, True], [300], [1, 0, 2, 3]
- )
- self.assertEqual([[1, 0], [3], [2]], res)
-
-
- if __name__ == '__main__':
- unittest.main()
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