[pull] master from ggml-org:master#847
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pull[bot] merged 3 commits intoLongLeCE:masterfrom Feb 4, 2026
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* ggml-virtgpu: regenerate_remoting.py: add the ability to deprecate a function * ggml-virtgpu: deprecate buffer_type is_host remoting not necessary * ggml-virtgpu: stop using static vars as cache The static init isn't thread safe. * ggml-virtgpu: protect the use of the shared memory to transfer data * ggml-virtgpu: make the remote calls thread-safe * ggml-virtgpu: backend: don't continue if couldn't allocate the tensor memory * ggml-virtgpu: add a cleanup function for consistency * ggml-virtgpu: backend: don't crash if buft->iface.get_max_size is missing * fix style and ordering * Remove the static variable in apir_device_get_count * ggml-virtgpu: improve the logging * fix review minor formatting changes
* completion : simplify batch (embd) processing This commit simplifies the processing of embd by removing the for loop that currently exists which uses params.n_batch as its increment. This commit also removes the clamping of n_eval as the size of embd is always at most the size of params.n_batch. The motivation is to clarify the code as it is currently a little confusing when looking at this for loop in isolation and thinking that it can process multiple batches. * add an assert to verify n_eval is not greater than n_batch
* spec : fix the check-rate logic of ngram-simple * cont : refactor + fix checks
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