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paddlepaddle--paddle/test/collective/collective_split_op.py
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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2018 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 os
os.environ['FLAGS_enable_pir_api'] = '0'
from legacy_test.test_collective_base import (
TestCollectiveRunnerBase,
runtime_main,
)
import paddle
from paddle import base
from paddle.base import core
paddle.enable_static()
class TestCollectiveAllGather(TestCollectiveRunnerBase):
def __init__(self):
self.global_ring_id = 0
def get_model(self, main_prog, startup_program):
ring_id = 0
nranks = 2
with base.program_guard(main_prog, startup_program):
tindata = paddle.static.data(
name="tindata", shape=[-1, 10, 1000], dtype='float32'
)
tindata.desc.set_need_check_feed(False)
toutdata = main_prog.current_block().create_var(
name="outofsplit",
dtype='float32',
type=core.VarDesc.VarType.DENSE_TENSOR,
persistable=False,
stop_gradient=False,
)
main_prog.global_block().append_op(
type="c_split",
inputs={'X': tindata},
attrs={'ring_id': ring_id, 'rank': self.rank, 'nranks': nranks},
outputs={'Out': toutdata},
)
return toutdata
if __name__ == "__main__":
runtime_main(TestCollectiveAllGather, "split", 0)