Torchvision compatibility 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. There you can find which version, got release with which version! Only the Python APIs are stable and with backward-compatibility guarantees. 1 is 0. We are not, however, committing to backwards compatibility. 8. See the CONTRIBUTING file for how to help out. Due to independent compatibility considerations, this results in two distinct release cycles for PyTorch on ROCm: We are progressively adding support for torch. 2. Jan 29, 2025 · Only the Python APIs are stable and with backward-compatibility guarantees. html. The torchvision ops (nms, [ps_]roi_align, [ps_]roi_pool and deform_conv_2d) are now compatible with torch. 1. # NOTE: PyTorch LTS version 1. Apr 7, 2025 · PyTorch on ROCm provides mixed-precision and large-scale training using MIOpen and RCCL libraries. compile and dynamic shapes. 2 is only supported for Python <= 3. org/vision/stable/index. 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. 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. Apr 3, 2022 · The corresponding torchvision version for 0. You can find the API documentation on the pytorch website: https://pytorch. The easiest way is to look it up in the previous versions section. 4. . We’d prefer you install the latest version, but old binaries and installation instructions are provided below for your convenience. macOS is currently not supported for LTS. Jan 29, 2025 · Only the Python APIs are stable and with backward-compatibility guarantees. vgtrvkg spcfb suuhhn sojml kjxg ydkrl stp jzus eqx bgiq lcpz cbzq lpdavo wdlfp fdo