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

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Python

# Copyright (c) 2020 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 numpy as np
import paddle
class TestNewGroupAPI:
def __init__(self):
paddle.distributed.init_parallel_env()
d1 = np.array([1, 2, 3])
d2 = np.array([2, 3, 4])
self.tensor1 = paddle.to_tensor(d1)
self.tensor2 = paddle.to_tensor(d2)
def test_all(self):
gp = paddle.distributed.new_group([0, 1])
print("gp info:", gp)
print("test new group api ok")
tmp = np.array([0, 0, 0])
result = paddle.to_tensor(tmp)
paddle.distributed.scatter(
result, [self.tensor2, self.tensor1], src=0, group=gp, sync_op=True
)
if gp.rank == 0:
np.testing.assert_array_equal(result, self.tensor2)
elif gp.rank == 1:
np.testing.assert_array_equal(result, self.tensor1)
print("test scatter api ok")
paddle.distributed.broadcast(result, src=1, group=gp, sync_op=True)
np.testing.assert_array_equal(result, self.tensor1)
print("test broadcast api ok")
paddle.distributed.reduce(result, dst=0, group=gp, sync_op=True)
if gp.rank == 0:
np.testing.assert_array_equal(
result, paddle.add(self.tensor1, self.tensor1)
)
elif gp.rank == 1:
np.testing.assert_array_equal(result, self.tensor1)
print("test reduce api ok")
paddle.distributed.all_reduce(result, sync_op=True)
np.testing.assert_array_equal(
result,
paddle.add(paddle.add(self.tensor1, self.tensor1), self.tensor1),
)
print("test all_reduce api ok")
paddle.distributed.wait(result, gp, use_calc_stream=True)
paddle.distributed.wait(result, gp, use_calc_stream=False)
print("test wait api ok")
result = []
paddle.distributed.all_gather(
result, self.tensor1, group=gp, sync_op=True
)
np.testing.assert_array_equal(result[0], self.tensor1)
np.testing.assert_array_equal(result[1], self.tensor1)
print("test all_gather api ok")
paddle.distributed.barrier(group=gp)
print("test barrier api ok")
if __name__ == "__main__":
gpt = TestNewGroupAPI()
gpt.test_all()