Move more generator args to use dataclass (#233)

* prompt

* chat_mode, num_samples

* move more args

* more gen args

* update

* args

* undo some changes

* typos

generate.py

@@ -31,6 +31,7 @@
 @dataclass
 class GeneratorArgs:
     prompt: str = "torchchat is pronounced torch-chat and is so cool because"
+    encoded_prompt: Optional[torch.Tensor] = None
     chat_mode: bool = False
     gui_mode: bool = False
     num_samples: int = 1
@@ -45,6 +46,7 @@ class GeneratorArgs:
     def from_args(cls, args):  # -> GeneratorArgs:
         return cls(
             prompt=args.prompt,
+            encoded_prompt=None,
             chat_mode=args.chat,
             gui_mode=args.gui,
             num_samples=args.num_samples,
@@ -305,7 +307,7 @@ def generate(
     return seq, generate_stats
 
 
-def encode_tokens(tokenizer, string, bos=True, device="cuda"):
+def encode_tokens(tokenizer, string, bos=True, device="cpu"):
     tokens = tokenizer.encode(string)
     if bos:
         tokens = [tokenizer.bos_id()] + tokens
@@ -317,13 +319,9 @@ def _main(
     speculative_builder_args: BuilderArgs,
     tokenizer_args: TokenizerArgs,
     generator_args: GeneratorArgs,
-    max_new_tokens: int = 100,
-    top_k: int = 200,
-    temperature: float = 0.8,
     compile: bool = True,
     compile_prefill: bool = False,
     profile: Optional[Path] = None,
-    speculate_k: int = 5,
     quantize=None,
 ) -> None:
     """Generates text samples based on a pre-trained Transformer model and tokenizer."""
@@ -436,6 +434,7 @@ def callback(x):
         t0 = time.perf_counter()
         import contextlib
 
+        generator_args.encoded_prompt = encoded
         if (i != generator_args.num_samples - 1 or not profile) or (use_tp and rank != 0):
             prof = contextlib.nullcontext()
         else:
@@ -445,13 +444,13 @@ def callback(x):
             y, metrics = generate(
                 model,
                 encoded,
-                max_new_tokens,
+                generator_args.max_new_tokens,
                 draft_model=draft_model,
-                speculate_k=speculate_k,
+                speculate_k=generator_args.speculate_k,
                 chat_mode=generator_args.chat_mode,
                 callback=callback,
-                temperature=temperature,
-                top_k=top_k,
+                temperature=generator_args.temperature,
+                top_k=generator_args.top_k,
             )
             aggregate_metrics["accept_counts"].append(metrics["accept_counts"])
         if i == -1:
@@ -502,13 +501,9 @@ def main(args):
         speculative_builder_args,
         tokenizer_args,
         generator_args,
-        args.max_new_tokens,
-        args.top_k,
-        args.temperature,
         args.compile,
         args.compile_prefill,
         args.profile,
-        args.speculate_k,
         args.quantize,
     )