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185 lines
8.8 KiB
185 lines
8.8 KiB
# Copyright (c) 2020 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 contextlib
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import unittest
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import numpy as np
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import six
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import unittest
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import paddle
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import paddle.fluid as fluid
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import paddle.fluid.dygraph as dygraph
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from paddle.fluid.dygraph.nn import Linear
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import paddle.fluid.core as core
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from paddle.fluid.optimizer import SGDOptimizer
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class MLP(fluid.Layer):
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def __init__(self, param_attr=None, bias_attr=None):
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super(MLP, self).__init__()
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self._linear1 = Linear(784, 10)
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self._linear2 = Linear(10, 10)
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def forward(self, inputs):
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y = self._linear1(inputs)
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y = self._linear2(y)
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return y
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class TestDataParallelGroup(unittest.TestCase):
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def create_varbase(self, dtype, shape,
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type=core.VarDesc.VarType.LOD_TENSOR):
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return core.VarBase(dtype, shape, "", type, True)
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def test_construct_group0(self):
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# one dtype & one limit capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP32, [2, 100]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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res = core.assign_group_by_size(var_list, [False, False, False, False],
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[400])
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self.assertEqual([[0], [1], [2], [3]], res)
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def test_construct_group1(self):
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# multi dtype & one limit capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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res = core.assign_group_by_size(
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var_list, [False, False, False, False, False, False], [400])
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self.assertEqual([[0, 2], [1, 3], [4], [5]], res)
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def test_construct_group2(self):
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# one dtype & multi limit capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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res = core.assign_group_by_size(var_list, [False, False, False, False],
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[400, 800])
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self.assertEqual([[0], [1, 2], [3]], res)
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def test_construct_group3(self):
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# multi dtype & multi limit capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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res = core.assign_group_by_size(
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var_list, [False, False, False, False, False, False], [200, 400])
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self.assertEqual([[0], [1], [2, 4], [3, 5]], res)
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def test_construct_group4(self):
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# multi dtype & zero limit capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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res = core.assign_group_by_size(
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var_list, [False, False, False, False, False, False], [0])
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self.assertEqual([[0], [1], [2], [3], [4], [5]], res)
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def test_construct_group5(self):
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# multi dtype & infinite capability
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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res = core.assign_group_by_size(
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var_list, [False, False, False, False, False, False], [10000])
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self.assertEqual([[0, 2, 4], [1, 3, 5]], res)
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def test_construct_group6(self):
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# multi dtype & limit capability & multi tensor type
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var_list = []
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP32, [1, 50],
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core.VarDesc.VarType.SELECTED_ROWS))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP64, [1, 25],
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core.VarDesc.VarType.SELECTED_ROWS))
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res = core.assign_group_by_size(
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var_list, [True, False, False, False, False, True], [400])
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self.assertEqual([[0], [1, 3], [2, 4], [5]], res)
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def test_construct_group7(self):
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# multi dtype & multi limit capability & multi tensor type
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var_list = []
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP32, [1, 50],
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core.VarDesc.VarType.SELECTED_ROWS))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP64, [1, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [1, 50]))
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP64, [1, 25],
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core.VarDesc.VarType.SELECTED_ROWS))
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res = core.assign_group_by_size(
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var_list, [True, False, False, False, False, True], [200, 400])
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self.assertEqual([[0], [1], [2], [3], [4], [5]], res)
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def test_construct_group8(self):
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# one dtype & one limit capability & have tensor_indices
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP32, [2, 100]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 50]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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res = core.assign_group_by_size(var_list, [False, False, False, False],
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[400], [3, 0, 1, 2])
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self.assertEqual([[3, 0], [1], [2]], res)
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def test_construct_group9(self):
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# one dtype & one limit capability & have tensor_indices
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var_list = []
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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var_list.append(self.create_varbase(core.VarDesc.VarType.FP32, [2, 25]))
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var_list.append(
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self.create_varbase(core.VarDesc.VarType.FP32, [2, 1000]))
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res = core.assign_group_by_size(var_list, [False, False, False, True],
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[300], [1, 0, 2, 3])
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self.assertEqual([[1, 0], [3], [2]], res)
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if __name__ == '__main__':
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unittest.main()
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