llama : do not crash if there is no CPU backend#13395
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ggerganov
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danbev
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gabe-l-hart
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* origin/master: (39 commits) server : vision support via libmtmd (ggml-org#12898) sycl : implementation of reordered Q4_0 MMVQ for Intel GPUs (ggml-org#12858) metal : optimize MoE for large batches (ggml-org#13388) CUDA: FA support for Deepseek (Ampere or newer) (ggml-org#13306) llama : do not crash if there is no CPU backend (ggml-org#13395) CUDA: fix crash on large batch size for MoE models (ggml-org#13384) imatrix : Add --parse-special for enabling parsing of special tokens in imatrix calculation (ggml-org#13389) llama-run: add support for downloading models from ModelScope (ggml-org#13370) mtmd : fix batch_view for m-rope (ggml-org#13397) llama : one-off chat template fix for Mistral-Small-2503 (ggml-org#13398) rpc : add rpc_msg_set_tensor_hash_req (ggml-org#13353) vulkan: Allow up to 4096 elements for mul_mat_id row_ids (ggml-org#13326) server : (webui) rename has_multimodal --> modalities (ggml-org#13393) ci : limit write permission to only the release step + fixes (ggml-org#13392) mtmd : Expose helper_decode_image_chunk (ggml-org#13366) server : (webui) fix a very small misalignment (ggml-org#13387) server : (webui) revamp the input area, plus many small UI improvements (ggml-org#13365) convert : support rope_scaling type and rope_type (ggml-org#13349) mtmd : fix the calculation of n_tokens for smolvlm (ggml-org#13381) context : allow cache-less context for embeddings (ggml-org#13108) ...
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Background: llama.cpp always requires a CPU backend, and normally it is always available. However, when building with dynamically loadable backends (
GGML_BACKEND_DL), it is possible that there is no CPU backend available when llama.cpp is called. The most common cause for is a missing call toggml_backend_load_allorggml_backend_load, which is necessary to load the backends before using llama.cpp.