wehub-resource-sync
60 lines
2.3 KiB
Python
60 lines
2.3 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 numpy as np
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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 TestCollectiveAllToAllAPI(test_base.TestCollectiveAPIRunnerBase):
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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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split_indata = np.split(indata, 2, axis=0)
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if indata.dtype == "bfloat16":
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indata1 = convert_float_to_uint16(split_indata[0])
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indata2 = convert_float_to_uint16(split_indata[1])
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tindata1 = paddle.to_tensor(indata1)
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tindata2 = paddle.to_tensor(indata2)
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toutdata1 = paddle.empty_like(indata1)
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toutdata2 = paddle.empty_like(indata2)
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dist.alltoall([tindata1, tindata2], [toutdata1, toutdata2])
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return [
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convert_uint16_to_float(toutdata1.numpy()),
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convert_uint16_to_float(toutdata2.numpy()),
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]
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else:
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indata1 = split_indata[0]
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indata2 = split_indata[1]
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tindata1 = paddle.to_tensor(indata1)
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tindata2 = paddle.to_tensor(indata2)
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toutdata1 = paddle.empty_like(indata1)
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toutdata2 = paddle.empty_like(indata2)
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dist.alltoall([toutdata1, toutdata2], [tindata1, tindata2])
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return [toutdata1.numpy(), toutdata2.numpy()]
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if __name__ == "__main__":
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test_base.runtime_main(TestCollectiveAllToAllAPI, "alltoall")
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