Refactor interactive

run_interactive.py

@@ -1,13 +1,17 @@
 from absl import app
 from absl import flags
 from absl import logging
+import random
+from typing import List
 import sys
 import jax
 import jax.numpy as jnp
 import numpy as np
 
 from jetstream.engine import token_utils
 from absl.testing import absltest
+from colorama import Fore, Back, Style
+
 
 import os
 import sys
@@ -16,6 +20,7 @@
 import time
 import logging
 
+
 logging.getLogger().setLevel(logging.ERROR)
 
 
@@ -86,21 +91,28 @@ def main(argv):
   params = engine.load_params()
   print('Load params ', time.perf_counter() - start)
 
-  prefill_times = {}
-  slot = jnp.int32(0)
   metadata = engine.get_tokenizer()
   vocab = token_utils.load_vocab(
     metadata.path, metadata.extra_ids)
-  tokenizer = vocab.tokenizer
+  stop_tokens = [vocab.eos_id, vocab.pad_id]
+  max_output_length = 1024
 
-  while True:
-    # text = input('Text >>>> ')
-    text = 'I believe the meaning of life is'
-    decode_state = engine.init_decode_state()
-    tokens, true_length = token_utils.tokenize_and_pad(text, vocab, is_bos=True)
-    # tokens = tokenizer.encode(text)
-    # tokens = [tokenizer.bos_id()] + tokens
-    print('Encoded tokens are: ', tokens)
+  if _PROFILING_OUTPUT.value:
+    jax.profiler.start_trace(_PROFILING_OUTPUT.value)
+
+  decode_state = engine.init_decode_state()
+  prompts: List[str] = [
+    "I believe the meaning of life is",
+    "To add an element to an ArrayList of a specific class type in Java, you can follow the following steps:\n\n1. Create an instance of the class to be added.\n2. Get a reference to the ArrayList.\n3. Call the `add()` method on the ArrayList, passing the instance of the class as the argument.\n\nHere's an example of how to add an object of type `Person` to an ArrayList of type `ArrayList<Person>`:\n```csharp\n// Create a new instance of the Person class\nPerson person = new Person(\"John\", 25);\n\n// Get a reference to the ArrayList\nArrayList<Person> peopleList = new ArrayList<>();\n\n// Add the person object to the ArrayList\npeopleList.add(person);\n```\nIn this example, the `Person` class is assumed to have a constructor that takes two arguments: a String for the person's name, and an int for their age. You can substitute your own class and constructor as necessary.",
+    "<s>[INST] <<SYS>>\nYou are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.\n<</SYS>>\n\nQuestion 1: What is commercial real estate finance?\nQuestion 2: What are Commercial Real Estate services?\nOptions are:\n[a]. no.\n[b]. yes.\nWould the answer to these two questions be the same? [/INST]",
+    "<s>[INST] <<SYS>>\nYou are an AI assistant that helps people find information. Provide a detailed answer so user don\u2019t need to search outside to understand the answer.\n<</SYS>>\n\nUse reasoning to lead to the answer of the following question:\nWhere are you likely to find water underneath?\nOptions:\n- toilet\n- sink\n- jar\n- bridge\n- house\n Reasoning process: [/INST",
+    "<s>[INST] <<SYS>>\nYou are an AI assistant. You will be given a task. You must generate a detailed and long answer.\n<</SYS>>\n\nContinue the following story.\n\nKay didn't have shoes that fit her feet properly. She only wore sneakers, because the \nChoose from: [I] shoes  fitted badly. [II] sneakers  fitted badly. [/INST]",
+  ]
+  for prompt in prompts:
+    slot = random.randint(0, _BATCH_SIZE.value) 
+    tokens, true_length = token_utils.tokenize_and_pad(prompt, vocab, is_bos=True)
+    print(f"---- Input prompts are: {prompt}")
+    print(f"---- Encoded tokens are: {tokens}")
 
     prefill_result = engine.prefill(
         params=params, padded_tokens=tokens, true_length=true_length
@@ -109,25 +121,36 @@ def main(argv):
         prefill_result, decode_state, slot=slot
     )
     sampled_tokens_list = []
-    for i in range(100):
-      decode_state, sampled_tokens = engine.generate(
+    print(f"---- Streaming decode started on #slot{slot}.")
+    while True:
+      decode_state, result_tokens = engine.generate(
         params, decode_state
       )
-      tstart, end = sampled_tokens.tokens_idx
-      sampled_tokens_list.append(sampled_tokens.data[0, 0].item())
 
-    print('---- ans ----')
-    print(sampled_tokens_list)
-    print(tokenizer.decode(sampled_tokens_list))
-    break
+      slot_data = result_tokens.get_result_at_slot(slot)
+      slot_tokens = slot_data.tokens
+      slot_lengths = slot_data.lengths
+
+      token_id = slot_tokens[slot, 0].item()
+      if slot_lengths > max_output_length or token_id in stop_tokens:
+        break
+
+      sampled_tokens_list.append(token_id)
+      output = token_utils.mix_decode(vocab, token_id)
+      print(Fore.GREEN + output, end="", flush=True)
 
+    print(Style.RESET_ALL + "\n")
+    print("---- Streaming decode finished.")
+
+
+    print("---- All output tokens.")
+    print(sampled_tokens_list)
 
 
   if _PROFILING_OUTPUT.value:
     jax.profiler.stop_trace()
 
 
-
 if __name__ == "__main__":
   import os
   os.environ["TF_CPP_MIN_LOG_LEVEL"] = "0"