wehub-resource-sync
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
# Copyright (c) 2022 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 sys
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sys.path.append("../legacy_test")
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import test_collective_api_base as test_base
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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 TestCollectiveScatterAPI(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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# NOTE: this is a hack relying on an undocumented behavior that `to_tensor` uses uint16 to replace bfloat16
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if indata.dtype == "bfloat16":
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tindata = paddle.to_tensor(indata, "float32").cast("uint16")
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subdata1, subdata2 = paddle.split(tindata, 2, axis=0)
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if rank == 0:
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dist.scatter(subdata1, src=1)
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else:
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dist.scatter(
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subdata1, tensor_list=[subdata1, subdata2], src=1
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)
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return [subdata1.cast("float32").numpy()]
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else:
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tindata = paddle.to_tensor(indata)
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subdata1, subdata2 = paddle.split(tindata, 2, axis=0)
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if rank == 0:
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dist.scatter(subdata1, src=1)
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else:
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dist.scatter(
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subdata1, tensor_list=[subdata1, subdata2], src=1
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)
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return [subdata1.numpy()]
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if __name__ == "__main__":
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test_base.runtime_main(TestCollectiveScatterAPI, "scatter")
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