Release 2.7.1 Final RC is available

Final 2.7.1 RC for PyTorch core and Domain Libraries is available for download from pytorch-test channel. Release 2.7.1 General Availability is scheduled for June 4th.

DOWNLOAD INSTRUCTIONS FOR TESTING FINAL RC

PIP CPU

  • Windows/Linux/MacOS:
    pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cpu

PIP CUDA 11.8, 12.6, 12.8
Windows/Linux:

  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu118
  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu126
  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128

PIP ROCM 6.2.4

  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.2.4

PIP ROCM 6.3

  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.3

PIP XPU

  • Linux/Windows:
  • pip3 install torch==2.7.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/xpu

PIP Linux Aarch6

  • pip3 install torch==2.7.1 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/test/cpu

PIP Linux CUDA 12.8 Aarch64

  • pip3 install torch==2.7.1 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/test/cu128

Libtorch

CPU Linux:

CPU Windows:

CPU MacOS:

CUDA 11.8, 12.6, 12.8 Linux

(cxx11 ABI):

Windows CUDA 11.8, 12.6, 12.8

(Release version):

(Debug version):

Docker images CUDA 11.8, 12.6, 12.8
Devel:

  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda11.8-cudnn9-devel
  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda12.6-cudnn9-devel
  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda12.8-cudnn9-devel

Runtime:

  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda11.8-cudnn9-runtime
  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda12.6-cudnn9-runtime
  • docker pull ghcr.io/pytorch/pytorch-test:2.7.1-cuda12.8-cudnn9-runtime

If there are any questions or concerns, please create an issue here.

Cheers,

Team PyTorch

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