llama/ex: remove --logdir argument (#10339)
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10 changed files with 0 additions and 547 deletions
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@ -22075,28 +22075,6 @@ void llama_perf_context_reset(struct llama_context * ctx) {
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ctx->t_p_eval_us = ctx->n_p_eval = 0;
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}
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void llama_perf_dump_yaml(FILE * stream, const llama_context * ctx) {
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fprintf(stream, "\n");
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fprintf(stream, "###########\n");
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fprintf(stream, "# Timings #\n");
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fprintf(stream, "###########\n");
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fprintf(stream, "\n");
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fprintf(stream, "mst_eval: %.2f # ms / token during generation\n",
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1.0e-3 * ctx->t_eval_us / ctx->n_eval);
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fprintf(stream, "mst_p_eval: %.2f # ms / token during prompt processing\n",
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1.0e-3 * ctx->t_p_eval_us / ctx->n_p_eval);
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fprintf(stream, "n_eval: %d # number of tokens generated (excluding the first one)\n", ctx->n_eval);
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fprintf(stream, "n_p_eval: %d # number of tokens processed in batches at the beginning\n", ctx->n_p_eval);
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fprintf(stream, "t_eval_us: %" PRId64 " # total microseconds spent generating tokens\n", ctx->t_eval_us);
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fprintf(stream, "t_load_us: %" PRId64 " # total microseconds spent loading the model\n", ctx->t_load_us);
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fprintf(stream, "t_p_eval_us: %" PRId64 " # total microseconds spent prompt processing\n", ctx->t_p_eval_us);
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fprintf(stream, "ts_eval: %.2f # tokens / second during generation\n",
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1.0e6 * ctx->n_eval / ctx->t_eval_us);
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fprintf(stream, "ts_p_eval: %.2f # tokens / second during prompt processing\n",
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1.0e6 * ctx->n_p_eval / ctx->t_p_eval_us);
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}
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// For internal test use
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const std::vector<std::pair<std::string, struct ggml_tensor *>> & llama_internal_get_tensor_map(
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struct llama_context * ctx
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