Code-llama-nit (#26300)

* fix encoding when the fill token is None

* add tests and edge cases

* fiuxp

* Update tests/models/code_llama/test_tokenization_code_llama.py

src/transformers/models/code_llama/tokenization_code_llama_fast.py

@@ -303,7 +303,7 @@ class CodeLlamaTokenizerFast(PreTrainedTokenizerFast):
     def encode_plus(self, text, text_pair=None, suffix_first=False, add_special_tokens=True, **kwargs):
         # hack to make sure the input is pre-process but outside rust
         text_pair = kwargs.pop("suffix", text_pair)
-        if self.fill_token in text and text_pair is None:
+        if self.fill_token is not None and self.fill_token in text and text_pair is None:
             text, text_pair = text.split(self.fill_token)
 
         if text_pair is None or len(text_pair) < 1:

tests/models/code_llama/test_tokenization_code_llama.py

@@ -559,6 +559,24 @@ class LlamaIntegrationTest(unittest.TestCase):
         decoded_tokens = tokenizer.decode(input_ids)
         self.assertEqual(decoded_tokens, " <s> Hello<s> how")
 
+    def test_fill_token(self):
+        tokenizer = CodeLlamaTokenizerFast.from_pretrained(
+            "codellama/CodeLlama-7b-hf", fill_token=None, prefix_token=None, suffix_token=None, middle_token=None
+        )
+        tokenizer.encode_plus("Hey how are you").input_ids
+        tokenizer.fill_token = "<FILL_ME>"
+        with self.assertRaises(ValueError):
+            tokenizer.encode("Hey how <FILL_ME> are you")
+            tokenizer.encode_plus("Hey how <FILL_ME> are you", "mne too")
+            tokenizer.tokenize("Hey how are you", "mne too")
+
+        tokenizer = CodeLlamaTokenizerFast.from_pretrained(
+            "codellama/CodeLlama-7b-hf", revision="3773f63b4511b9e47a9a7ffc765eed7eb0169486"
+        )
+        tokenizer.encode("Hey how <FILL_ME> are you")
+        tokenizer.encode_plus("Hey how <FILL_ME> are you", "mne too")
+        tokenizer.tokenize("Hey how are you", "mne too")
+
     def test_spm_edge_cases(self):
         # the word inform should be split as ['in', 'form']
         tokenizer = CodeLlamaTokenizer.from_pretrained("codellama/CodeLlama-7b-hf", legacy=False)