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- # Copyright (c) 2022 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.
-
- from test_collective_base_xpu import TestCollectiveRunnerBase, runtime_main
-
- import paddle
- from paddle import base
- from paddle.base import core
-
- paddle.enable_static()
-
-
- class TestCollectiveIdentity(TestCollectiveRunnerBase):
- def __init__(self):
- self.global_ring_id = 0
-
- def get_model(self, main_prog, startup_program, dtype=None):
- dtype = "float32" if dtype is None else dtype
- ring_id = 0
- nranks = 2
- with base.program_guard(main_prog, startup_program):
- tindata = paddle.static.data(
- name="tindata", shape=[10, 1000], dtype=dtype
- )
- toutdata = main_prog.current_block().create_var(
- name="outofgather",
- dtype=dtype,
- type=core.VarDesc.VarType.LOD_TENSOR,
- persistable=False,
- stop_gradient=False,
- )
- main_prog.global_block().append_op(
- type="c_identity",
- inputs={'X': tindata},
- outputs={'Out': toutdata},
- attrs={'ring_id': ring_id, 'nranks': nranks},
- )
- return toutdata
-
-
- if __name__ == "__main__":
- runtime_main(TestCollectiveIdentity, "identity", 0)
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