Fix split_batch bug with empty generation_kwargs (mosaicml#2913)

mvpatel2000 · Jan 29, 2024 · 01eb20d · 01eb20d
1 parent 28a9a23
commit 01eb20d
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Showing 2 changed files with 57 additions and 6 deletions.
diff --git a/composer/datasets/in_context_learning_evaluation.py b/composer/datasets/in_context_learning_evaluation.py
@@ -317,7 +317,8 @@ def __init__(
         self.tokenize_labels = tokenize_labels
         self.batch_mapping = batch_mapping or {}
         self.base_batch = base_batch or {}
-        self.update_generation_kwargs(generation_kwargs or {})
+        if generation_kwargs:
+            self.update_generation_kwargs(generation_kwargs)
 
         self.static_keys = static_keys
         self.list_keys = list_keys
@@ -358,9 +359,9 @@ def update_generation_kwargs(self, generation_kwargs: Dict) -> None:
         Args:
             dict: Keyword arguments that be written into base_batch['generation_kwargs']
         """
-        if 'generation_kwargs' not in self.base_batch:
-            self.base_batch['generation_kwargs'] = {}
         if generation_kwargs:
+            if 'generation_kwargs' not in self.base_batch:
+                self.base_batch['generation_kwargs'] = {}
             self.base_batch['generation_kwargs'].update(generation_kwargs)
 
     def read_dataset(self,
@@ -702,7 +703,8 @@ def __init__(self,
             'input_ids': self.context_key,
             'labels': 'aliases',
         }
-        self.update_generation_kwargs(kwargs.get('generation_kwargs', {}))
+        if 'generation_kwargs' in kwargs:
+            self.update_generation_kwargs(kwargs['generation_kwargs'])
 
     def read_dataset(
         self,
@@ -1292,7 +1294,8 @@ def __init__(
                 'eos_token_id': self.tokenizer.eos_token_id
             }
         }
-        self.update_generation_kwargs(kwargs.get('generation_kwargs', {}))
+        if 'generation_kwargs' in kwargs:
+            self.update_generation_kwargs(kwargs['generation_kwargs'])
 
     def _set_max_prompt_and_answer_lengths(self):
         """

diff --git a/tests/datasets/test_in_context_learning_datasets.py b/tests/datasets/test_in_context_learning_datasets.py
@@ -273,7 +273,55 @@ def test_update_generation_kwargs_no_kwargs(tiny_gpt2_tokenizer, tmp_path):
                                   destination_path=str(tmp_path / 'test_dataset_lm_juggernaut.jsonl'),
                                   hf_loading_vars=hf_loading_vars,
                                   hf_parsing_map=hf_parsing_map)
-    assert not dl.base_batch['generation_kwargs']
+    assert not 'generation_kwargs' in dl.base_batch
+
+
+def test_update_generation_kwargs_no_kwargs_qa_dataset(tmp_path):
+    pytest.importorskip('datasets')
+    local_data = os.path.join(os.path.dirname(__file__), 'local_data')
+    dataset_uri = f'{local_data}/triviaqa_small.jsonl'
+    transformers = pytest.importorskip('transformers')
+    tokenizer = transformers.AutoTokenizer.from_pretrained('facebook/opt-125m')  # type: ignore reportUnboundVariable
+
+    tmp_path_to_broadcast = str(os.path.abspath(tmp_path))
+    gathered_paths = dist.all_gather_object(tmp_path_to_broadcast)
+    dl = InContextLearningQATaskDataset(dataset_uri=dataset_uri,
+                                        tokenizer=tokenizer,
+                                        max_seq_len=1024,
+                                        pad_tok_id=tokenizer.eos_token_id,
+                                        num_fewshot=0,
+                                        fewshot_random_seed=1234,
+                                        prompt_string='',
+                                        example_delimiter='\n',
+                                        continuation_delimiter=': ',
+                                        destination_path=str(Path(gathered_paths[0]) / 'icl.jsonl'),
+                                        generation_kwargs=None)
+    assert len(dl.base_batch['generation_kwargs']) == 3
+
+
+def test_update_generation_kwargs_with_kwargs_qa_dataset(tmp_path):
+    pytest.importorskip('datasets')
+    local_data = os.path.join(os.path.dirname(__file__), 'local_data')
+    dataset_uri = f'{local_data}/triviaqa_small.jsonl'
+    transformers = pytest.importorskip('transformers')
+    tokenizer = transformers.AutoTokenizer.from_pretrained('facebook/opt-125m')  # type: ignore reportUnboundVariable
+
+    tmp_path_to_broadcast = str(os.path.abspath(tmp_path))
+    gathered_paths = dist.all_gather_object(tmp_path_to_broadcast)
+    dl = InContextLearningQATaskDataset(dataset_uri=dataset_uri,
+                                        tokenizer=tokenizer,
+                                        max_seq_len=1024,
+                                        pad_tok_id=tokenizer.eos_token_id,
+                                        num_fewshot=0,
+                                        fewshot_random_seed=1234,
+                                        prompt_string='',
+                                        example_delimiter='\n',
+                                        continuation_delimiter=': ',
+                                        destination_path=str(Path(gathered_paths[0]) / 'icl.jsonl'),
+                                        generation_kwargs={'temperature': 0.9})
+    assert 'generation_kwargs' in dl.base_batch
+    assert dl.base_batch['generation_kwargs']['temperature'] == 0.9
+    assert len(dl.base_batch['generation_kwargs']) == 4
 
 
 @pytest.mark.filterwarnings(