vbatts/llama.cpp
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fix compile warnings

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xaedes 2023-09-16 22:28:23 +02:00
parent 83061fbdbe
commit 8721785c52
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2 changed files with 13 additions and 15 deletions
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27
examples/finetune/finetune.cpp
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@ -151,7 +151,6 @@ struct my_llama_lora {
}; };
// gguf constants // gguf constants
static const char * LLM_KV_TRAINING_TYPE_TRAIN_MODEL = "train_model";
static const char * LLM_KV_TRAINING_TYPE_FINETUNE_LORA = "finetune_lora"; static const char * LLM_KV_TRAINING_TYPE_FINETUNE_LORA = "finetune_lora";
static const char * LLM_KV_TRAINING_TYPE = "training.type"; static const char * LLM_KV_TRAINING_TYPE = "training.type";
@ -1085,7 +1084,7 @@ struct llama_file {
die_fmt("read error: %s", strerror(errno)); die_fmt("read error: %s", strerror(errno));
} }
if (ret != 1) { if (ret != 1) {
die_fmt("unexpectedly reached end of file"); die("unexpectedly reached end of file");
} }
} }
@ -1599,18 +1598,18 @@ int main(int argc, char ** argv) {
} }
lora.hparams.lora_r = params.lora_r; lora.hparams.lora_r = params.lora_r;
lora.hparams.lora_alpha = params.custom_lora_alpha ? params.lora_alpha : params.lora_r; lora.hparams.lora_alpha = params.custom_lora_alpha ? params.lora_alpha : params.lora_r;
int n_rank_attention_norm = params.custom_n_rank_attention_norm ? params.n_rank_attention_norm : 1; uint32_t n_rank_attention_norm = params.custom_n_rank_attention_norm ? params.n_rank_attention_norm : 1;
int n_rank_wq = params.custom_n_rank_wq ? params.n_rank_wq : params.lora_r; uint32_t n_rank_wq = params.custom_n_rank_wq ? params.n_rank_wq : params.lora_r;
int n_rank_wk = params.custom_n_rank_wk ? params.n_rank_wk : params.lora_r; uint32_t n_rank_wk = params.custom_n_rank_wk ? params.n_rank_wk : params.lora_r;
int n_rank_wv = params.custom_n_rank_wv ? params.n_rank_wv : params.lora_r; uint32_t n_rank_wv = params.custom_n_rank_wv ? params.n_rank_wv : params.lora_r;
int n_rank_wo = params.custom_n_rank_wo ? params.n_rank_wo : params.lora_r; uint32_t n_rank_wo = params.custom_n_rank_wo ? params.n_rank_wo : params.lora_r;
int n_rank_ffn_norm = params.custom_n_rank_ffn_norm ? params.n_rank_ffn_norm : 1; uint32_t n_rank_ffn_norm = params.custom_n_rank_ffn_norm ? params.n_rank_ffn_norm : 1;
int n_rank_w1 = params.custom_n_rank_w1 ? params.n_rank_w1 : params.lora_r; uint32_t n_rank_w1 = params.custom_n_rank_w1 ? params.n_rank_w1 : params.lora_r;
int n_rank_w2 = params.custom_n_rank_w2 ? params.n_rank_w2 : params.lora_r; uint32_t n_rank_w2 = params.custom_n_rank_w2 ? params.n_rank_w2 : params.lora_r;
int n_rank_w3 = params.custom_n_rank_w3 ? params.n_rank_w3 : params.lora_r; uint32_t n_rank_w3 = params.custom_n_rank_w3 ? params.n_rank_w3 : params.lora_r;
int n_rank_tok_embeddings = params.custom_n_rank_tok_embeddings ? params.n_rank_tok_embeddings : params.lora_r; uint32_t n_rank_tok_embeddings = params.custom_n_rank_tok_embeddings ? params.n_rank_tok_embeddings : params.lora_r;
int n_rank_norm = params.custom_n_rank_norm ? params.n_rank_norm : 1; uint32_t n_rank_norm = params.custom_n_rank_norm ? params.n_rank_norm : 1;
int n_rank_output = params.custom_n_rank_output ? params.n_rank_output : params.lora_r; uint32_t n_rank_output = params.custom_n_rank_output ? params.n_rank_output : params.lora_r;
lora.hparams.n_rank_attention_norm = n_rank_attention_norm; lora.hparams.n_rank_attention_norm = n_rank_attention_norm;
lora.hparams.n_rank_wq = n_rank_wq; lora.hparams.n_rank_wq = n_rank_wq;
lora.hparams.n_rank_wk = n_rank_wk; lora.hparams.n_rank_wk = n_rank_wk;

1
examples/train-text-from-scratch/train-text-from-scratch.cpp
View file

@ -69,7 +69,6 @@ struct my_llama_model {
// gguf constants (sync with gguf.py) // gguf constants (sync with gguf.py)
static const char * LLM_KV_TRAINING_TYPE_TRAIN_MODEL = "train_model"; static const char * LLM_KV_TRAINING_TYPE_TRAIN_MODEL = "train_model";
static const char * LLM_KV_TRAINING_TYPE_FINETUNE_LORA = "finetune_lora";
static const char * LLM_KV_TRAINING_TYPE = "training.type"; static const char * LLM_KV_TRAINING_TYPE = "training.type";
static const char * LLM_KV_GENERAL_ARCHITECTURE = "general.architecture"; static const char * LLM_KV_GENERAL_ARCHITECTURE = "general.architecture";