wehub-resource-sync
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
# Copyright (c) 2022 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 random
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import unittest
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import numpy as np
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import paddle
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class TestDygraphFleetAPI(unittest.TestCase):
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def setUp(self):
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paddle.seed(2022)
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random.seed(2022)
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np.random.seed(2022)
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self.config()
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def config(self):
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self.dtype = "float32"
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self.shape = (2, 10, 5)
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def test_dygraph_fleet_api(self):
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import paddle.distributed as dist
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from paddle.distributed import fleet
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strategy = fleet.DistributedStrategy()
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strategy.amp = True
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strategy.recompute = True
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fleet.init(is_collective=True, strategy=strategy)
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net = paddle.nn.Sequential(
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paddle.nn.Linear(10, 1), paddle.nn.Linear(1, 2)
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)
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net = dist.fleet.distributed_model(net)
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data = np.random.uniform(-1, 1, [30, 10]).astype('float32')
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data = paddle.to_tensor(data)
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net(data)
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if __name__ == "__main__":
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unittest.main()
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