A from-scratch CPU inference engine is the largest, riskiest part of
the codebase and the least connected to screenwriting, so it deserves a
written decision. It stays: the alternative (a ctranslate2/argos
dependency, a plugin or a separate binary) buys a single menu item at
the cost of cgo and per-distribution packaging, while the in-tree
engine keeps the one-binary, offline, GPL-clean build. The package doc
now says so, with the condition that should reopen the question
(more language pairs).
Translate runs NumCPU/2 sentence workers and each of them started
GOMAXPROCS goroutines for the logit projection of every step: on 16
cores, 128 goroutines fighting for 16 cores. The model now caps the
goroutines of a step (SetThreads, called once after Load) so that
workers x threads stays within the machine.
Each beam-search step deep-cloned the keys and values of every layer
for every candidate it kept, so the cost grew quadratically with the
sentence length and produced garbage faster than the unrolled dot()
could win. Survivors are now chosen first; a beam whose parent has a
single survivor takes its slices over (the parent is dead), and only a
shared cache is cloned. The step's other buffers (query/key/value,
hidden, logits) are reused across layers, beams and steps instead of
being allocated afresh each time. TestRealModel confirms the output is
unchanged.
Downloading the 300 MB model restarted from zero after any failure and
hung forever on a stalled connection. Download into a .partial file
that survives interruptions, resume it with a Range request (falling
back to a fresh download when the server cannot), skip files already
verified, and abort when nothing arrives for 30 s. A model directory
only counts as installed when every file has its pinned size, so a
truncated model is offered for download again instead of failing to
load.
The model load held the translation mutex, so Cancel did nothing for
the seconds it takes to read 300 MB. Load without holding the lock,
make marian.Load context-aware, and let CancelTranslation wait for the
task to wind down so a new one can start at once. The idle release
timer re-arms when it fires while a download holds the task slot,
instead of never freeing the model.