llama.cpp

96550613 - llama-context : report graph inputs and input tensors during sched reserve (#26625)

llama-context : report graph inputs and input tensors during sched reserve (#26625) * llama-context : report graph inputs and input tensors during sched reserve - fix the tg (token generation) graph bs label to use n_seqs instead of a hardcoded 1 - report the number of graph inputs from llm_graph_result::inputs for both the pp and tg graphs - report the number of input tensors (nodes and their src tensors flagged with GGML_TENSOR_FLAG_INPUT) - log a warning when an input tensor has an op other than GGML_OP_NONE - log a trace line for each input tensor and the nodes (name and op) that use it Assisted-by: llama.cpp:DeepSeek-v4-Flash-0731 * cont : count input tensors before reserving the sched * wip * llama-graph : name the unnamed graph input tensors - name the kv-cache idxs input tensors (attn_inp_k_idxs, attn_inp_v_idxs) - name the recurrent state copy idxs input tensor (rs_s_copy) - report the input tensor shape in the sched_reserve trace Assisted-by: pi:llama.cpp/Qwen3.8-27B * llama-context : rename "graph inputs" to "graph input objects" Assisted-by: pi:llama.cpp/Qwen3.8-27B * llama-context : report the sched reserve graph stats on a single line - print nodes, splits, input objects and input tensors in one line - when the pp and tg graphs differ, print each value as 'pp / tg' and annotate the line with the batch sizes used for each graph Assisted-by: pi:llama.cpp/Qwen3.8-27B * cont : pad logs