test_imperative_group.py

# 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.fluid import core
from paddle.fluid.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()