t

atoma-inference/src/candle/llama.rs

@@ -4,6 +4,8 @@ extern crate accelerate_src;
 #[cfg(feature = "mkl")]
 extern crate intel_mkl_src;
 
+use std::path::PathBuf;
+
 use anyhow::{bail, Error as E, Result};
 
 use candle::{DType, Tensor};
@@ -17,6 +19,8 @@ use tokenizers::Tokenizer;
 
 use crate::candle::{device, hub_load_safetensors, token_output_stream::TokenOutputStream};
 
+use super::save_tensor_to_file;
+
 const EOS_TOKEN: &str = "</s>";
 
 #[derive(Clone, Debug, Copy, PartialEq, Eq)]
@@ -47,7 +51,7 @@ impl Default for Config {
         Self {
             temperature: None,
             top_p: None,
-            seed: 299792458,
+            seed: 0,
             sample_len: 10000,
             no_kv_cache: false,
             dtype: None,
@@ -110,6 +114,7 @@ pub fn run(prompt: String, cfg: Config) -> Result<String> {
     let mut logits_processor = LogitsProcessor::new(cfg.seed, cfg.temperature, cfg.top_p);
     let mut index_pos = 0;
     let mut res = String::new();
+    let mut result = Vec::new();
     for index in 0..cfg.sample_len {
         let (context_size, context_index) = if cache.use_kv_cache && index > 0 {
             (1, index_pos)
@@ -131,8 +136,8 @@ pub fn run(prompt: String, cfg: Config) -> Result<String> {
             )?
         };
         index_pos += ctxt.len();
-
         let next_token = logits_processor.sample(&logits)?;
+        result.push(logits);
         tokens.push(next_token);
 
         if Some(next_token) == eos_token_id {
@@ -145,5 +150,12 @@ pub fn run(prompt: String, cfg: Config) -> Result<String> {
     if let Some(rest) = tokenizer.decode_rest().map_err(E::msg)? {
         res += &rest;
     }
+    for (i, tensor) in result.iter().enumerate() {
+        save_tensor_to_file(
+            tensor,
+            &PathBuf::from(format!("llama_logits_{}.pt", i.to_string())),
+        )
+        .unwrap();
+    }
     Ok(res)
 }

atoma-inference/src/main.rs

@@ -22,11 +22,7 @@ fn stable_diffusion() {
 
 fn llama1() {
     use crate::candle::llama::run;
-    let x = run(
-        "The most important thing is ".to_string(),
-        Default::default(),
-    )
-    .unwrap();
+    let x = run("If we find a solution to ".to_string(), Default::default()).unwrap();
     println!("{}", x);
 }