71 lines
2.6 KiB
Python
71 lines
2.6 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import test_collective_api_base as test_base
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from op_test import convert_float_to_uint16, convert_uint16_to_float
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import paddle
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import paddle.distributed as dist
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from paddle import base
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class TestCollectiveAllToAllSingleAPIUnequalSplit(
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test_base.TestCollectiveAPIRunnerBase
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):
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def __init__(self):
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self.global_ring_id = 0
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def get_model(self, main_prog, startup_program, rank, indata=None):
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with base.program_guard(main_prog, startup_program):
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dim0 = indata.shape[0]
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if rank == 0:
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in_split_sizes = [dim0 // 2 - 1, dim0 // 2 + 1]
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out_split_sizes = [dim0 // 2 - 1, dim0 // 2 - 2]
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elif rank == 1:
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in_split_sizes = [dim0 // 2 - 2, dim0 // 2 + 2]
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out_split_sizes = [dim0 // 2 + 1, dim0 // 2 + 2]
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else:
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raise ValueError(f"only support nranks==2, but got rank {rank}")
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out_shape = list(indata.shape)
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out_shape[0] = sum(out_split_sizes)
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if indata.dtype == "bfloat16":
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indata = convert_float_to_uint16(indata)
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tindata = paddle.to_tensor(indata)
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toutdata = paddle.empty(out_shape, dtype=tindata.dtype)
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dist.alltoall_single(
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toutdata,
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tindata,
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out_split_sizes=out_split_sizes,
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in_split_sizes=in_split_sizes,
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)
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return [convert_uint16_to_float(toutdata.numpy())]
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else:
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tindata = paddle.to_tensor(indata)
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toutdata = paddle.empty(out_shape, dtype=tindata.dtype)
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dist.alltoall_single(
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toutdata,
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tindata,
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out_split_sizes=out_split_sizes,
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in_split_sizes=in_split_sizes,
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)
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return [toutdata.numpy()]
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if __name__ == "__main__":
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test_base.runtime_main(
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TestCollectiveAllToAllSingleAPIUnequalSplit,
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"alltoall_single_unequal_split",
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)
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