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