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# Copyright (c) 2022 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.
class ReduceOp:
"""
Specify the type of operation used for element-wise reductions.
It should be one of the following values:
ReduceOp.SUM
ReduceOp.MAX
ReduceOp.MIN
ReduceOp.PROD
Examples:
.. code-block:: python
# required: distributed
import paddle
import paddle.distributed as dist
dist.init_parallel_env()
if dist.get_rank() == 0:
data = paddle.to_tensor([[4, 5, 6], [4, 5, 6]])
else:
data = paddle.to_tensor([[1, 2, 3], [1, 2, 3]])
dist.all_reduce(data, op=dist.ReduceOp.SUM)
print(data)
# [[5, 7, 9], [5, 7, 9]] (2 GPUs)
"""
SUM = 0
MAX = 1
MIN = 2
PROD = 3
AVG = 4
