Torchvision compatibility # NOTE: PyTorch LTS version 1. 1 is 0. The easiest way is to look it up in the previous versions section. See the CONTRIBUTING file for how to help out. Jan 29, 2025 · Only the Python APIs are stable and with backward-compatibility guarantees. ROCm support for PyTorch is upstreamed into the official PyTorch repository. Only if you couldn't find it, you can have a look at the torchvision release data and pytorch's version. 2. The torchvision ops (nms, [ps_]roi_align, [ps_]roi_pool and deform_conv_2d) are now compatible with torch. 8. Apr 7, 2025 · PyTorch on ROCm provides mixed-precision and large-scale training using MIOpen and RCCL libraries. Prototype: These features are typically not available as part of binary distributions like PyPI or Conda, except sometimes behind run-time flags, and are at an early stage for feedback and testing. compile and dynamic shapes. org/vision/stable/index. html. 2 is only supported for Python <= 3. We’d prefer you install the latest version, but old binaries and installation instructions are provided below for your convenience. Due to independent compatibility considerations, this results in two distinct release cycles for PyTorch on ROCm: We are progressively adding support for torch. Apr 3, 2022 · The corresponding torchvision version for 0. You can find the API documentation on the pytorch website: https://pytorch. 4. macOS is currently not supported for LTS. We are not, however, committing to backwards compatibility. So, if you need stability within a C++ environment, your best bet is to export the Python APIs via torchscript. compile() to torchvision interfaces, reducing graph breaks and allowing dynamic shape. There you can find which version, got release with which version! Only the Python APIs are stable and with backward-compatibility guarantees. 1. . Jan 29, 2025 · Only the Python APIs are stable and with backward-compatibility guarantees. myirdodmszgzamlvpwimjkzelakottfhotpbyttpoxlzqndheooaholeqxsmkmqfldpxhpuwew