model : more uniform output id handling #14275
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If the graph topology changes, it may force a re-allocation in ggml-alloc, which can interfere with the pipeline parallelism implementation. |
Thanks for spotting - will revert this change. |
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* mamba2-sync: (24 commits) sync : ggml Add `ggml_roll` (ggml/1274) docs : fix the link to llama.h (ggml-org#14293) CUDA: add conv_2d_transpose (ggml-org#14287) lint : remove trailing whitepace (ggml-org#14304) vocab : prevent tokenizer overflow (ggml-org#14301) sycl: add usage of enqueue_functions extension (ggml-org#14244) Implement GGML_CPU_ALL_VARIANTS for PowerPC (ggml-org#14286) llama : improve sep token handling (ggml-org#14272) cuda : synchronize graph capture and cublas handle destruction (ggml-org#14288) ggml : fix repack work size for mul_mat_id (ggml-org#14292) ggml: Update KleidiAI to v1.9.0 (ggml-org#14277) model : more uniform output id handling (ggml-org#14275) ubatch : new splitting logic (ggml-org#14217) CUDA: add conv_2d_dw (ggml-org#14265) ggml-cpu : remove unnecesary arm feature detection (ggml-org#14281) gguf-py : make sentencepiece optional (ggml-org#14200) server : add server parameters for draft model cache type (ggml-org#13782) build : suppress gcc15 compile warnings (ggml-org#14261) sycl: Cleanup codepaths in Get Rows in sycl backend (ggml-org#14215) ...
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target #14217
inp_out_idscreation at the beginning of the graph (needed for graph reuse later)Minor optimization: doggml_get_rows()only ifn_outputs < n_tokensggml_get_rows()as early as possible after attention in some modelsggml_get_rows()on unused tensors in some modelsinp_out_idslogic from pooling type