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107 lines
3.5 KiB
107 lines
3.5 KiB
# Copyright (c) 2019 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 paddle
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import paddle.fluid as fluid
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import paddle.fluid.layers as layers
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import numpy as np
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import os
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import shutil
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import paddle.fluid.core as core
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import unittest
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from paddle.fluid.layers.nn import _pull_box_sparse
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from paddle.fluid.transpiler import collective
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class TestTranspile(unittest.TestCase):
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""" TestCases for BoxPS Preload """
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def get_transpile(self, mode, trainers="127.0.0.1:6174"):
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config = fluid.DistributeTranspilerConfig()
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config.mode = 'collective'
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config.collective_mode = mode
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t = fluid.DistributeTranspiler(config=config)
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return t
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def test_transpile(self):
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main_program = fluid.Program()
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startup_program = fluid.Program()
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t = self.get_transpile("single_process_multi_thread")
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t.transpile(
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trainer_id=0,
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startup_program=startup_program,
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trainers="127.0.0.1:6174",
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program=main_program)
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t = self.get_transpile("grad_allreduce")
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try:
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t.transpile(
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trainer_id=0,
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startup_program=startup_program,
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trainers="127.0.0.1:6174",
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program=main_program)
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except ValueError as e:
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print(e)
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def test_single_trainers(self):
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transpiler = collective.GradAllReduce(0)
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try:
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transpiler.transpile(
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startup_program=fluid.Program(),
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main_program=fluid.Program(),
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rank=1,
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endpoints="127.0.0.1:6174",
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current_endpoint="127.0.0.1:6174",
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wait_port="6174")
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except ValueError as e:
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print(e)
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transpiler = collective.LocalSGD(0)
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try:
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transpiler.transpile(
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startup_program=fluid.Program(),
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main_program=fluid.Program(),
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rank=1,
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endpoints="127.0.0.1:6174",
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current_endpoint="127.0.0.1:6174",
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wait_port="6174")
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except ValueError as e:
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print(e)
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class TestRunCmd(unittest.TestCase):
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""" TestCases for run_cmd"""
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def test_run_cmd(self):
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ret1 = int(core.run_cmd("ls; echo $?").strip().split('\n')[-1])
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ret2 = int(core.run_cmd("ls; echo $?", -1, -1).strip().split('\n')[-1])
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self.assertTrue(ret1 == 0)
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self.assertTrue(ret2 == 0)
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class TestPullBoxSparseOP(unittest.TestCase):
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""" TestCases for _pull_box_sparse op"""
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def test_pull_box_sparse_op(self):
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paddle.enable_static()
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program = fluid.Program()
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with fluid.program_guard(program):
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x = fluid.layers.data(
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name='x', shape=[1], dtype='int64', lod_level=0)
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y = fluid.layers.data(
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name='y', shape=[1], dtype='int64', lod_level=0)
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emb_x, emb_y = _pull_box_sparse([x, y], size=1)
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if __name__ == '__main__':
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unittest.main()
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