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

71 lines
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Python

# Copyright (c) 2025 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 test_collective_api_base as test_base
from op_test import convert_float_to_uint16, convert_uint16_to_float
import paddle
import paddle.distributed as dist
from paddle import base
class TestCollectiveAllToAllSingleAPIUnequalSplit(
test_base.TestCollectiveAPIRunnerBase
):
def __init__(self):
self.global_ring_id = 0
def get_model(self, main_prog, startup_program, rank, indata=None):
with base.program_guard(main_prog, startup_program):
dim0 = indata.shape[0]
if rank == 0:
in_split_sizes = [dim0 // 2 - 1, dim0 // 2 + 1]
out_split_sizes = [dim0 // 2 - 1, dim0 // 2 - 2]
elif rank == 1:
in_split_sizes = [dim0 // 2 - 2, dim0 // 2 + 2]
out_split_sizes = [dim0 // 2 + 1, dim0 // 2 + 2]
else:
raise ValueError(f"only support nranks==2, but got rank {rank}")
out_shape = list(indata.shape)
out_shape[0] = sum(out_split_sizes)
if indata.dtype == "bfloat16":
indata = convert_float_to_uint16(indata)
tindata = paddle.to_tensor(indata)
toutdata = paddle.empty(out_shape, dtype=tindata.dtype)
dist.alltoall_single(
toutdata,
tindata,
out_split_sizes=out_split_sizes,
in_split_sizes=in_split_sizes,
)
return [convert_uint16_to_float(toutdata.numpy())]
else:
tindata = paddle.to_tensor(indata)
toutdata = paddle.empty(out_shape, dtype=tindata.dtype)
dist.alltoall_single(
toutdata,
tindata,
out_split_sizes=out_split_sizes,
in_split_sizes=in_split_sizes,
)
return [toutdata.numpy()]
if __name__ == "__main__":
test_base.runtime_main(
TestCollectiveAllToAllSingleAPIUnequalSplit,
"alltoall_single_unequal_split",
)