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-rw-r--r--common/common.cpp4
-rw-r--r--common/common.h4
2 files changed, 7 insertions, 1 deletions
diff --git a/common/common.cpp b/common/common.cpp
index 98fc8388..dda51478 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1745,6 +1745,8 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
cparams.yarn_orig_ctx = params.yarn_orig_ctx;
cparams.pooling_type = params.pooling_type;
cparams.defrag_thold = params.defrag_thold;
+ cparams.cb_eval = params.cb_eval;
+ cparams.cb_eval_user_data = params.cb_eval_user_data;
cparams.offload_kqv = !params.no_kv_offload;
cparams.type_k = kv_cache_type_from_str(params.cache_type_k);
@@ -2192,7 +2194,7 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
params.sparams.logit_bias[llama_token_eos(model)] = -INFINITY;
}
- {
+ if (params.warmup) {
LOG("warming up the model with an empty run\n");
std::vector<llama_token> tmp = { llama_token_bos(model), llama_token_eos(model), };
diff --git a/common/common.h b/common/common.h
index a7f476c1..65272b0b 100644
--- a/common/common.h
+++ b/common/common.h
@@ -80,6 +80,9 @@ struct gpt_params {
int32_t yarn_orig_ctx = 0; // YaRN original context length
float defrag_thold = -1.0f; // KV cache defragmentation threshold
+ ggml_backend_sched_eval_callback cb_eval = nullptr;
+ void * cb_eval_user_data = nullptr;
+
ggml_numa_strategy numa = GGML_NUMA_STRATEGY_DISABLED;
llama_rope_scaling_type rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED;
@@ -156,6 +159,7 @@ struct gpt_params {
bool infill = false; // use infill mode
bool dump_kv_cache = false; // dump the KV cache contents for debugging purposes
bool no_kv_offload = false; // disable KV offloading
+ bool warmup = true; // warmup run
std::string cache_type_k = "f16"; // KV cache data type for the K
std::string cache_type_v = "f16"; // KV cache data type for the V