fix compile warnings

common/train.cpp

@@ -17,9 +17,15 @@ struct random_uniform_distribution {
     std::uniform_real_distribution<float> rd;
 };
 
-struct train_state  * init_train_state(int seed) {
+struct train_state  * init_train_state() {
     struct train_state * state = (struct train_state *) malloc(sizeof(struct train_state));
-    memset(state, 0, sizeof(struct train_state));
+    state->train_its     = 0;
+    state->train_samples = 0;
+    state->train_tokens  = 0;
+    state->train_epochs  = 0;
+    state->shuffle_samples_hash  = 0;
+    state->shuffle_sample_count  = 0;
+    state->shuffle_next_sample   = 0;
     state->shuffle_rng_state_current = "";
     state->shuffle_rng_state_next    = "";
 
@@ -35,10 +41,6 @@ void free_train_state(struct train_state  * state) {
     free(state);
 }
 
-struct ggml_opt_context * get_train_state_opt(struct train_state  * state) {
-    return state->opt;
-}
-
 struct random_normal_distribution * init_random_normal_distribution(
     int seed, float mean, float std, float min, float max
 ) {
@@ -741,7 +743,7 @@ struct llama_file {
             die_fmt("read error: %s", strerror(errno));
         }
         if (ret != 1) {
-            die_fmt("unexpectedly reached end of file");
+            die("unexpectedly reached end of file");
         }
     }
 
@@ -840,7 +842,7 @@ size_t tokenize_file(
     std::vector<int> utf8_nunits;
     utf8_units.resize(buf.size());
     utf8_nunits.resize(buf.size());
-    size_t n_utf8_chars = mark_utf8_units(buf.data(), utf8_units.data(), utf8_nunits.data(), buf.size());
+    mark_utf8_units(buf.data(), utf8_units.data(), utf8_nunits.data(), buf.size());
 
     if (sample_start.size() == 0) {
         // tokenize all data at once
@@ -1070,7 +1072,7 @@ struct train_params_common get_default_train_params_common() {
     return params;
 }
 
-void print_common_train_usage(int /*argc*/, char ** argv, const struct train_params_common * params) {
+void print_common_train_usage(int /*argc*/, char ** /*argv*/, const struct train_params_common * params) {
     // fprintf(stderr, "usage: %s [options]\n", argv[0]);
     // fprintf(stderr, "\n");
     // fprintf(stderr, "options:\n");

common/train.h

@@ -103,7 +103,7 @@ struct train_opt_callback_data {
     double                       millis_per_iter;
 };
 
-struct train_state * init_train_state(int seed);
+struct train_state * init_train_state();
 void free_train_state(struct train_state  * state);
 
 struct train_params_common get_default_train_params_common();

examples/finetune/finetune.cpp

@@ -1582,7 +1582,7 @@ int main(int argc, char ** argv) {
 
     struct my_llama_lora lora;
 
-    struct train_state      * train = init_train_state(params.common.seed);
+    struct train_state      * train = init_train_state();
     struct ggml_opt_context * opt   = train->opt;
 
     load_default_lora_params_from_base_model(params.fn_model_base, &lora.hparams);

examples/train-text-from-scratch/train-text-from-scratch.cpp

@@ -972,7 +972,7 @@ int main(int argc, char ** argv) {
     int n_vocab  = model.hparams.n_vocab;
     int n_batch  = params.common.n_batch;
 
-    struct train_state      * train = init_train_state(params.common.seed);
+    struct train_state      * train = init_train_state();
     struct ggml_opt_context * opt   = train->opt;
 
     struct ggml_opt_params opt_params_adam = ggml_opt_default_params(GGML_OPT_ADAM);

ggml.c

@@ -15134,7 +15134,6 @@ static void ggml_compute_forward_flash_attn_back_f32(
 
     const int64_t elem_q = ggml_nelements(q);
     const int64_t elem_k = ggml_nelements(k);
-    const int64_t elem_v = ggml_nelements(v);
 
     enum ggml_type result_type = dst->type;
     GGML_ASSERT(ggml_blck_size(result_type) == 1);