wehub-resource-sync
170 lines
4.9 KiB
Python
170 lines
4.9 KiB
Python
# Copyright (c) 2020 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 unittest
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from legacy_test.test_collective_api_base import TestDistBase
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import paddle
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paddle.enable_static()
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import paddle.distributed as dist
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class TestCollectiveReduceAPI(TestDistBase):
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def _setup_config(self):
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pass
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def test_reduce_nccl(self):
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if paddle.base.core.is_compiled_with_cuda():
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self.check_with_place("collective_reduce_api.py", "reduce", "nccl")
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def test_reduce_nccl_with_comm_context(self):
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dtypes_to_test = [
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"float16",
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"bool",
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]
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red_types_to_test = [
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dist.ReduceOp.SUM,
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]
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if self._nccl_version >= 21000:
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dtypes_to_test.append("bfloat16")
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for dtype in dtypes_to_test:
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if paddle.base.core.is_compiled_with_cuda():
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for red_type in red_types_to_test:
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self.check_with_place(
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"collective_reduce_api.py",
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"reduce",
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"nccl",
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dtype=dtype,
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reduce_type=red_type,
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need_envs={"USE_COMM_CONTEXT": "1"},
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)
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def test_reduce_nccl_with_new_comm_pir(self):
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dtypes_to_test = [
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"float16",
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"float32",
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"float64",
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"int32",
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"int64",
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]
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red_types_to_test = [
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dist.ReduceOp.SUM,
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]
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for dtype in dtypes_to_test:
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if paddle.base.core.is_compiled_with_cuda():
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for red_type in red_types_to_test:
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self.check_with_place(
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"collective_reduce_api.py",
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"reduce",
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"nccl",
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dtype=dtype,
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reduce_type=red_type,
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need_envs={
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"FLAGS_enable_pir_in_executor": "1",
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},
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)
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def test_reduce_bkcl(self):
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if paddle.base.core.is_compiled_with_xpu():
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self.check_with_place("collective_reduce_api.py", "reduce", "bkcl")
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def test_reduce_gloo(self):
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self.check_with_place(
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"collective_reduce_api.py",
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"reduce",
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"gloo",
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"1",
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need_envs={"USE_COMM_CONTEXT": "1"},
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)
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def test_reduce_gloo_with_comm_context(self):
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dtypes_to_test = [
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"bool",
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]
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red_types_to_test = [
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dist.ReduceOp.SUM,
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]
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for dtype in dtypes_to_test:
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for red_type in red_types_to_test:
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self.check_with_place(
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"collective_reduce_api.py",
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"reduce",
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"gloo",
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"1",
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dtype=dtype,
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reduce_type=red_type,
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need_envs={"USE_COMM_CONTEXT": "1"},
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)
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def test_reduce_nccl_dygraph(self):
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dtypes_to_test = [
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"float16",
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"bool",
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]
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if self._nccl_version >= 21000:
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dtypes_to_test.append("bfloat16")
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for dtype in dtypes_to_test:
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self.check_with_place(
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"collective_reduce_api_dygraph.py",
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"reduce",
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"nccl",
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static_mode="0",
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dtype=dtype,
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)
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def test_reduce_gloo_dygraph(self):
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dtypes_to_test = [
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"bool",
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"bfloat16",
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]
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for dtype in dtypes_to_test:
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self.check_with_place(
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"collective_reduce_api_dygraph.py",
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"reduce",
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"gloo",
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"1",
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static_mode="0",
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dtype=dtype,
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)
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if __name__ == "__main__":
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unittest.main()
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