wehub-resource-sync
80 lines
2.9 KiB
Python
80 lines
2.9 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 unittest
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from pathlib import Path
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from paddle.distributed import fleet
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from paddlenlp.trainer import PdArgumentParser, TrainingArguments
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from paddlenlp.trainer.trainer_utils import init_nccl_config
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try:
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from paddle.distributed import create_nccl_config
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except ImportError:
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create_nccl_config = None
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nccl_config = """
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{
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"default": {
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"proto": "ll",
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"n_channels": 1
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},
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"pp": {
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"ll_buffsize": 131072,
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"ll128_buffsize": 134217728,
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"simple_buffsize": 134217728
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},
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"tp": {
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"proto": "ll,ll128"
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}
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}
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"""
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class TestNcclConfig(unittest.TestCase):
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def setUp(self):
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self.nccl_config_path = "/tmp/config.json"
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self.output_path = "/tmp/paddlenlp_test_output"
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Path("/tmp/config.json").write_text(nccl_config)
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def test_nccl_config(self):
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# paddle version does not match
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if create_nccl_config is None:
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return
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args_dict = {"output_dir": self.output_path, "nccl_comm_group_config": self.nccl_config_path}
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parser = PdArgumentParser((TrainingArguments,))
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(args,) = parser.parse_dict(args_dict)
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strategy = fleet.DistributedStrategy()
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strategy.hybrid_configs = {"dp_degree": 2, "mp_degree": 2, "pp_degree": 2}
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strategy = init_nccl_config(self.nccl_config_path, strategy)
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assert strategy.hybrid_configs["default_comm_group_configs"].nccl_config.protoStr == "ll"
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assert strategy.hybrid_configs["default_comm_group_configs"].nccl_config.nchannels == 1
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assert strategy.hybrid_configs["default_comm_group_configs"].nccl_config.buffsize_align == 1024
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assert strategy.hybrid_configs["mp_configs"].nccl_config.protoStr == "ll,ll128"
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assert strategy.hybrid_configs["mp_configs"].nccl_config.buffsize_align == 1024
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assert strategy.hybrid_configs["pp_configs"].coll_nccl_config.ll_buffsize == 131072
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assert strategy.hybrid_configs["pp_configs"].coll_nccl_config.ll128_buffsize == 134217728
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assert strategy.hybrid_configs["pp_configs"].coll_nccl_config.simple_buffsize == 134217728
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def tearDown(self):
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file_path = Path(self.nccl_config_path)
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if file_path.exists():
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file_path.unlink()
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output_path = Path(self.output_path)
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if output_path.exists():
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output_path.unlink()
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