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69 lines
2.2 KiB
69 lines
2.2 KiB
# Copyright (c) 2018 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 unittest
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from test_dist_base import TestDistBase
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import paddle
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paddle.enable_static()
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class TestDistMnistNCCL2FleetApi(TestDistBase):
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def _setup_config(self):
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self._sync_mode = True
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self._use_reduce = False
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self._use_reader_alloc = False
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self._nccl2_mode = True
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self._use_fleet_api = True
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self._sync_batch_norm = True
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def test_dist_train(self):
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import paddle.fluid as fluid
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if fluid.core.is_compiled_with_cuda():
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self.check_with_place("dist_mnist.py", delta=1e-5)
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class FleetCollectiveTest(unittest.TestCase):
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def test_open_sync_batch_norm(self):
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import paddle.fluid as fluid
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import paddle.fluid.incubate.fleet.base.role_maker as role_maker
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from paddle.fluid.incubate.fleet.collective import fleet, DistributedStrategy
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if not fluid.core.is_compiled_with_cuda():
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# Operator "gen_nccl_id" has not been registered
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return
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data = fluid.layers.data(name='X', shape=[1], dtype='float32')
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hidden = fluid.layers.fc(input=data, size=10)
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loss = fluid.layers.mean(hidden)
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optimizer = fluid.optimizer.AdamOptimizer()
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role = role_maker.UserDefinedCollectiveRoleMaker(0, ['127.0.0.1:6170'])
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fleet.init(role)
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dist_strategy = DistributedStrategy()
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dist_strategy.sync_batch_norm = True
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dist_optimizer = fleet.distributed_optimizer(
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optimizer, strategy=dist_strategy)
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dist_optimizer.minimize(loss)
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self.assertEqual(dist_strategy.exec_strategy.num_threads, 1)
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if __name__ == "__main__":
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unittest.main()
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