v0.1.19

v0.1.19 (2026-05-03)

• 📦 Packaging — narrow torch upper bound to <2.11
  • torch 2.11 dropped Volta (V100, CC 7.0) and Pascal (P100, GTX
    10xx, CC 6.x) from its default cu128 / cu129 wheels (to
    ship cuDNN 9.15.1, which is incompatible with those archs). On
    those GPUs pip install scmidas==0.1.18 would silently install
    a torch that fails at the first CUDA op with
    no kernel image is available for execution on the device.
  • The pin now reads torch>=2.5,<2.11 (with matching
    torchvision<0.26 / torchaudio<2.11). Users on
    Ampere/Hopper/Ada/Blackwell GPUs can manually upgrade past the
    cap; users on Volta/Pascal stay on a working default install.
  • No source-code change — same scmidas as 0.1.18.
• ✨ Enhancements
  • import scmidas now runs a one-time GPU self-check: if the
    local torch wheel has no kernels for the local GPU, scmidas
    emits a UserWarning with actionable guidance (downgrade torch
    or use the cu126 wheel) instead of the user later seeing a raw
    no kernel image is available error from somewhere deep in
    their training loop. The check no-ops on CPU-only environments
    and on working GPU setups.
• ⚙️ CI
  • Test matrix gained a torch 2.10 job (the new upper bound) and
    dropped the previous experimental torch latest job. Lower
    bound remains torch 2.5.1 across Python 3.10 / 3.11 / 3.12.