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Hugging Face selects the rows a logits_to_keep index tensor names as hidden[:, rows] over a [1, T, D] hidden state, which exports as aten.index.Tensor with a None before the index. The ggml engine gathered rows only of a matrix with one index tensor. It now takes that case too: over a leading size-1 dimension it gathers rows of the [T, D] matrix and keeps the leading 1. The indices are still checked on the host.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/25008
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Off-graph KV cache for the native ggml engine, through serving Muse Glimmer on it. Review bottom-up; each PR builds and passes its tests on its own.
Summary
Hugging Face selects the rows a
logits_to_keepindex tensor names ashidden[:, rows]over a[1, T, D]hidden state, which exports asaten.index.Tensorwith aNonebefore the index. The ggml engine gathered rows only of a matrix with one index tensor. It now takes that case too: over a leading size-1 dimension it gathers rows of the[T, D]matrix and keeps the leading 1. The indices are still checked on the host.Test plan
A new engine test gathers two rows of a
[1, 6, 8]input and rejects an out-of-range row. The C++ test harness gains an optional-tensor-list argument to build it.Authored with Claude Code.