Following the announcement of branch cut completion, the core binaries are now available for download and testing on pytorch test channel. Here is the 2.7 release issue tracker for cherry pick submissions.
REMINDER OF KEY DATES
Milestones M1 through M3 are complete and the next milestone is M4 at month end.
- M4: Release branch finalized, Announce final launch date, Feature classifications published (week of 3/31/25) - Final RC is produced.
- M4.1: Tutorial drafts submission deadline (4/9/25)
- M5: External-Facing Content Finalized (4/18/25)
- M6: Release Day (4/23/25)
DOWNLOAD INSTRUCTIONS FOR TESTING RC1
PIP CPU
- Windows/Linux/MacOS:
pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cpu
PIP CUDA 11.8, 12.6, 12.8
Windows/Linux:
pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu118pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu126pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
PIP ROCM 6.2.4
pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.2.4
PIP ROCM 6.3
pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.3
PIP XPU
- Linux/Windows:
pip3 install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/xpu
PIP Linux Aarch6
pip3 install torch==2.7.0 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/test/cpu
PIP Linux CUDA 12.8 Aarch64
pip3 install torch==2.7.0 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/test/cu128
Libtorch
CPU Linux:
- (cxx11 ABI): https://download.pytorch.org/libtorch/test/cpu/libtorch-cxx11-abi-shared-with-deps-latest.zip
CPU Windows:
- Download here (Release version): https://download.pytorch.org/libtorch/test/cpu/libtorch-win-shared-with-deps-latest.zip
- Download here (Debug version): https://download.pytorch.org/libtorch/test/cpu/libtorch-win-shared-with-deps-debug-latest.zip
CPU MacOS:
CUDA 11.8, 12.6, 12.8 Linux
(cxx11 ABI):
- https://download.pytorch.org/libtorch/test/cu118/libtorch-cxx11-abi-shared-with-deps-latest.zip
- https://download.pytorch.org/libtorch/test/cu126/libtorch-cxx11-abi-shared-with-deps-latest.zip
- https://download.pytorch.org/libtorch/test/cu128/libtorch-cxx11-abi-shared-with-deps-latest.zip
Windows CUDA 11.8, 12.6, 12.8
(Release version):
- https://download.pytorch.org/libtorch/test/cu118/libtorch-win-shared-with-deps-latest.zip
- https://download.pytorch.org/libtorch/test/cu126/libtorch-win-shared-with-deps-latest.zip
- https://download.pytorch.org/libtorch/test/cu128/libtorch-win-shared-with-deps-latest.zip
(Debug version):
- https://download.pytorch.org/libtorch/test/cu118/libtorch-win-shared-with-deps-debug-latest.zip
- https://download.pytorch.org/libtorch/test/cu126/libtorch-win-shared-with-deps-debug-latest.zip
- https://download.pytorch.org/libtorch/test/cu128/libtorch-win-shared-with-deps-debug-latest.zip
Docker images CUDA 11.8, 12.6, 12.8
Devel:
docker pull ghcr.io/pytorch/pytorch-test:2.7.0-cuda11.8-cudnn9-develdocker pull ghcr.io/pytorch/pytorch-test:2.7.0-cuda12.6-cudnn9-develdocker pull [ghcr.io/pytorch/pytorch-test:2.7.0-cuda12.8-cudnn9-devel](http://ghcr.io/pytorch/pytorch-test:2.7.0-cuda12.8-cudnn9-devel)
Runtime:
docker pull ghcr.io/pytorch/pytorch-test:2.7.0-cuda11.8-cudnn9-runtimedocker pull ghcr.io/pytorch/pytorch-test:2.7.0-cuda12.6-cudnn9-runtimedocker pull ghcr.io/pytorch/pytorch-test:2.7.0-cuda12.8-cudnn9-runtime
If there are any questions or concerns, please create an issue here.
Cheers,
Team PyTorch