From dc0cdd8760547b041bb206541e3c9cf9bb879777 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 17 Sep 2024 16:38:38 +0300
Subject: [PATCH] llama : read new cls tensors [no ci]

---
 src/llama.cpp | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/src/llama.cpp b/src/llama.cpp
index 0accb1492..ab0328ce8 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -602,6 +602,8 @@ enum llm_tensor {
     LLM_TENSOR_ENC_FFN_DOWN,
     LLM_TENSOR_ENC_FFN_UP,
     LLM_TENSOR_ENC_OUTPUT_NORM,
+    LLM_TENSOR_CLS,
+    LLM_TENSOR_CLS_OUT,
 };
 
 static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NAMES = {
@@ -789,6 +791,8 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_LAYER_OUT_NORM,  "blk.%d.layer_output_norm" },
             { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down" },
             { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
+            { LLM_TENSOR_CLS,             "cls" },
+            { LLM_TENSOR_CLS_OUT,         "cls.output" },
         },
     },
     {
@@ -2882,6 +2886,12 @@ struct llama_model {
     struct ggml_tensor * output_b;
     struct ggml_tensor * output_norm_enc;
 
+    // classifier
+    struct ggml_tensor * cls;
+    struct ggml_tensor * cls_b;
+    struct ggml_tensor * cls_out;
+    struct ggml_tensor * cls_out_b;
+
     std::vector<llama_layer> layers;
 
     llama_split_mode split_mode;
@@ -7351,6 +7361,12 @@ static bool llm_load_tensors(
 
                     if (model.arch == LLM_ARCH_BERT) {
                         model.pos_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train});
+
+                        model.cls   = ml.create_tensor(ctx_output, tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        model.cls_b = ml.create_tensor(ctx_output, tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         llama_model_loader::TENSOR_NOT_REQUIRED);
+
+                        model.cls_out   = ml.create_tensor(ctx_output, tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, 1}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        model.cls_out_b = ml.create_tensor(ctx_output, tn(LLM_TENSOR_CLS_OUT, "bias"),   {1},         llama_model_loader::TENSOR_NOT_REQUIRED);
                     }
 
                     model.tok_norm   = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight"), {n_embd});