SAM 2's instance now reads wgpu's environment variables, as the render context's does, so a driver such as
Mesa's Dozen (WGPU_ALLOW_UNDERLYING_NONCOMPLIANT_ADAPTER=1) is visible to it, and WGPU_POWER_PREF applies.
An adapter without compute shaders is refused before a device is made on it, so the CPU takes over with one
line instead of a validation error per kernel. The refused adapter is kept for the life of the process, as
the device on it was: dropping it crashed the tests on WSL2's GL driver. Gpu::shared no longer repeats
"SAM 2 compute:" in its errors.
Halves the weight memory (Large: about 900 MB to 450 MB). Off by default: the
video logit error grows from about 0.003 to 0.06-0.12 (masks unchanged) for a
speed gain of under 10 percent.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Hiera configs and size detection from the weights, registry entries pinned to
commits with verified SHA-256, the loader picks the size by checksum. The GPU
encoder submits once per block so Large fits in memory, and uploads no longer
panic on a lost device. Reference tests run per size on the CPU and GPU.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Memory attention (1.8e-5 vs PyTorch) and the memory encoder (2.6e-6) as wgpu kernels,
convolution and layer-norm+GELU kernels, VideoModel::load_auto picks the GPU when
there is one (EFFECTCRAFT_SAM2_DEVICE overrides) and falls back to the CPU on any GPU
error; disable_gpu switches it off mid-clip. One process-wide device (several at once
crashed the Vulkan loader). A tracked frame: 4.3 s CPU, 0.7 s on the RX 7900 GRE.
Clips tracked on the GPU match Sam2VideoModel (worst logit error 0.0032).
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Strided batched matmul with bias, GELU/ReLU and residual in the epilogue, layer
norm, softmax, window partition, pooling, patch embedding, RoPE and neck kernels
(WGSL, all tested against CPU definitions). GpuEncoder keeps activations on the
GPU and returns the 64x64 level and the decoder's skip features. On the RX 7900
GRE one frame encodes in 0.29 s (debug build) against 2.1 s on the CPU in release;
errors 6.8e-6 vs PyTorch, 1.2e-5 vs the CPU path.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
JonRC