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pytorch/builder
#1670Labels
high prioritymodule: binariesAnything related to official binaries that we release to usersAnything related to official binaries that we release to usersmodule: ncclProblems related to nccl supportProblems related to nccl supporttriage reviewtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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Command to install the latest nightly binary:
pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu121
installs nvidia-nccl-cu12==2.19.3
:
Looking in indexes: https://download.pytorch.org/whl/nightly/cu121
Collecting torch
Downloading https://download.pytorch.org/whl/nightly/cu121/torch-2.3.0.dev20240108%2Bcu121-cp310-cp310-linux_x86_64.whl (757.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 757.0/757.0 MB 36.2 MB/s eta 0:00:00
...
Collecting nvidia-nccl-cu12==2.19.3 (from torch)
Downloading https://download.pytorch.org/whl/nightly/cu121/nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB)
...
However, PyTorch itself reports 2.18.1
:
python -c "import torch; print(torch.__version__); print(torch.cuda.nccl.version())"
2.3.0.dev20240108+cu121
(2, 18, 1)
I guess this version tag might be defined during the build process from e.g. here and then forwarded from here, but also source builds should use 2.19.3
based on the third_party/nccl
tag.
Unsure, if this is just a reporting issue or if we are building the nightly binaries with NCCL==2.18.1
and executing them with 2.19.3
, so creating this issue to dig a bit further into it.
cc @ezyang @gchanan @zou3519 @kadeng @seemethere @malfet @osalpekar @atalman
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high prioritymodule: binariesAnything related to official binaries that we release to usersAnything related to official binaries that we release to usersmodule: ncclProblems related to nccl supportProblems related to nccl supporttriage reviewtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module