wehub-resource-sync
170 lines
7.1 KiB
Python
170 lines
7.1 KiB
Python
# 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()
|