llama : allow for user specified embedding pooling type (#5849)

* allow for user specified pooling type

* llama : use enum types over int

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

1 files changed, 5 insertions, 2 deletions

diff --git a/llama.h b/llama.h
index 6406b527..70da4cb3 100644
--- a/llama.h
+++ b/llama.h
@@ -129,6 +129,7 @@ extern "C" {
     };
 
     enum llama_pooling_type {
+        LLAMA_POOLING_TYPE_UNSPECIFIED = -1,
         LLAMA_POOLING_TYPE_NONE = 0,
         LLAMA_POOLING_TYPE_MEAN = 1,
         LLAMA_POOLING_TYPE_CLS  = 2,
@@ -236,7 +237,10 @@ extern "C" {
         uint32_t n_batch;           // prompt processing maximum batch size
         uint32_t n_threads;         // number of threads to use for generation
         uint32_t n_threads_batch;   // number of threads to use for batch processing
-        int32_t  rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
+
+        enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
+        enum llama_pooling_type      pooling_type;      // whether to pool (sum) embedding results by sequence id
+                                                        // (ignored if no pooling layer)
 
         // ref: https://github.com/ggerganov/llama.cpp/pull/2054
         float    rope_freq_base;   // RoPE base frequency, 0 = from model
@@ -258,7 +262,6 @@ extern "C" {
         bool logits_all;  // the llama_decode() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
         bool embedding;   // embedding mode only
         bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU
-        bool do_pooling;  // whether to pool (sum) embedding results by sequence id (ignored if no pooling layer)
 
         // Abort callback
         // if it returns true, execution of llama_decode() will be aborted