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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2023 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 paddle.base import core
def get_nccl_version_str(ver):
if ver >= 10000:
NCCL_MAJOR_VERSION = int(ver // 10000)
ver = ver % 10000
else:
NCCL_MAJOR_VERSION = int(ver // 1000)
ver = ver % 1000
NCCL_MINOR_VERSION = int(ver // 100)
NCCL_PATCH_VERSION = int(ver % 100)
return f"{NCCL_MAJOR_VERSION}.{NCCL_MINOR_VERSION}.{NCCL_PATCH_VERSION}"
def check_nccl_version_for_p2p():
nccl_version = core.nccl_version()
nccl_version_str = get_nccl_version_str(nccl_version)
nccl_version_baseline = 2804
assert nccl_version >= nccl_version_baseline, (
"The version of NCCL is required to be at least v2.8.4 while training with "
f"pipeline/MoE parallelism, but we found v{nccl_version_str}. The previous version of NCCL has "
"some bugs in p2p communication, and you can see more detailed description "
"about this issue from ReleaseNotes of NCCL v2.8.4 "
"(https://docs.nvidia.com/deeplearning/nccl/release-notes/rel_2-8-4.html#rel_2-8-4)."
)
def check_nccl_version_for_bf16():
nccl_version = core.nccl_version()
nccl_version_baseline = 21000
return nccl_version >= nccl_version_baseline