wehub-resource-sync
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# Copyright (c) 2024 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 paddle
|
|
import paddle.distributed as dist
|
|
from paddle import nn
|
|
|
|
|
|
class LinearNet(nn.Layer):
|
|
def __init__(self):
|
|
super().__init__()
|
|
self._linear1 = nn.Linear(10, 10)
|
|
self._linear2 = nn.Linear(10, 1)
|
|
|
|
def forward(self, x):
|
|
return self._linear2(self._linear1(x))
|
|
|
|
|
|
def train():
|
|
dist.init_parallel_env()
|
|
layer = paddle.jit.to_static(LinearNet(), full_graph=True, backend='CINN')
|
|
dp_layer = paddle.DataParallel(layer)
|
|
inputs = paddle.randn([10, 10], 'float32')
|
|
# NOTE(dev): Spawn will launch multi-process to run this file in
|
|
# gpu:0 and gpu:1, it's not easy to apply np.testing.allclose
|
|
# between @to_static and dynamic mode.
|
|
dp_layer(inputs)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
dist.spawn(train, nprocs=2)
|