[tokenizers] Fixing #8001 - Adding tests on tokenizers serialization (#8006)

* fixing #8001

* make T5 tokenizer serialization more robust - style

src/transformers/tokenization_albert.py

@@ -129,6 +129,9 @@ class AlbertTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            do_lower_case=do_lower_case,
+            remove_space=remove_space,
+            keep_accents=keep_accents,
             bos_token=bos_token,
             eos_token=eos_token,
             unk_token=unk_token,

src/transformers/tokenization_bert.py

@@ -178,11 +178,16 @@ class BertTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            do_lower_case=do_lower_case,
+            do_basic_tokenize=do_basic_tokenize,
+            never_split=never_split,
             unk_token=unk_token,
             sep_token=sep_token,
             pad_token=pad_token,
             cls_token=cls_token,
             mask_token=mask_token,
+            tokenize_chinese_chars=tokenize_chinese_chars,
+            strip_accents=strip_accents,
             **kwargs,
         )
 

src/transformers/tokenization_bertweet.py

@@ -129,11 +129,12 @@ class BertweetTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            normalization=normalization,
             bos_token=bos_token,
             eos_token=eos_token,
-            unk_token=unk_token,
             sep_token=sep_token,
             cls_token=cls_token,
+            unk_token=unk_token,
             pad_token=pad_token,
             mask_token=mask_token,
             **kwargs,

src/transformers/tokenization_deberta.py

@@ -308,16 +308,13 @@ class GPT2Tokenizer(object):
 
           - We remapped the token ids in our dictionary with regarding to the new special tokens, `[PAD]` => 0, `[CLS]` => 1, `[SEP]` => 2, `[UNK]` => 3, `[MASK]` => 50264
 
-    do_lower_case (:obj:`bool`, optional):
-      Whether to convert inputs to lower case. **Not used in GPT2 tokenizer**.
-
     special_tokens (:obj:`list`, optional):
       List of special tokens to be added to the end of the vocabulary.
 
 
   """
 
-    def __init__(self, vocab_file=None, do_lower_case=True, special_tokens=None):
+    def __init__(self, vocab_file=None, special_tokens=None):
         self.pad_token = "[PAD]"
         self.sep_token = "[SEP]"
         self.unk_token = "[UNK]"
@@ -523,6 +520,7 @@ class DebertaTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            do_lower_case=do_lower_case,
             unk_token=unk_token,
             sep_token=sep_token,
             pad_token=pad_token,

src/transformers/tokenization_fsmt.py

@@ -194,6 +194,9 @@ class FSMTTokenizer(PreTrainedTokenizer):
     ):
         super().__init__(
             langs=langs,
+            src_vocab_file=src_vocab_file,
+            tgt_vocab_file=tgt_vocab_file,
+            merges_file=merges_file,
             unk_token=unk_token,
             bos_token=bos_token,
             sep_token=sep_token,

src/transformers/tokenization_gpt2.py

@@ -164,7 +164,14 @@ class GPT2Tokenizer(PreTrainedTokenizer):
         bos_token = AddedToken(bos_token, lstrip=False, rstrip=False) if isinstance(bos_token, str) else bos_token
         eos_token = AddedToken(eos_token, lstrip=False, rstrip=False) if isinstance(eos_token, str) else eos_token
         unk_token = AddedToken(unk_token, lstrip=False, rstrip=False) if isinstance(unk_token, str) else unk_token
-        super().__init__(bos_token=bos_token, eos_token=eos_token, unk_token=unk_token, **kwargs)
+        super().__init__(
+            errors=errors,
+            unk_token=unk_token,
+            bos_token=bos_token,
+            eos_token=eos_token,
+            add_prefix_space=add_prefix_space,
+            **kwargs,
+        )
 
         with open(vocab_file, encoding="utf-8") as vocab_handle:
             self.encoder = json.load(vocab_handle)

src/transformers/tokenization_marian.py

@@ -97,10 +97,12 @@ class MarianTokenizer(PreTrainedTokenizer):
     ):
         super().__init__(
             # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
-            model_max_length=model_max_length,
-            eos_token=eos_token,
+            source_lang=source_lang,
+            target_lang=target_lang,
             unk_token=unk_token,
+            eos_token=eos_token,
             pad_token=pad_token,
+            model_max_length=model_max_length,
             **kwargs,
         )
         assert Path(source_spm).exists(), f"cannot find spm source {source_spm}"

src/transformers/tokenization_prophetnet.py

@@ -119,11 +119,16 @@ class ProphetNetTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            do_lower_case=do_lower_case,
+            do_basic_tokenize=do_basic_tokenize,
+            never_split=never_split,
             unk_token=unk_token,
             sep_token=sep_token,
+            x_sep_token=x_sep_token,
             pad_token=pad_token,
             mask_token=mask_token,
-            x_sep_token=x_sep_token,
+            tokenize_chinese_chars=tokenize_chinese_chars,
+            strip_accents=strip_accents,
             **kwargs,
         )
         self.unique_no_split_tokens.append(x_sep_token)

src/transformers/tokenization_t5.py

@@ -112,15 +112,22 @@ class T5Tokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         # Add extra_ids to the special token list
-        if extra_ids > 0:
-            if additional_special_tokens is None:
-                additional_special_tokens = []
-            additional_special_tokens.extend(["<extra_id_{}>".format(i) for i in range(extra_ids)])
+        if extra_ids > 0 and additional_special_tokens is None:
+            additional_special_tokens = ["<extra_id_{}>".format(i) for i in range(extra_ids)]
+        elif extra_ids > 0 and additional_special_tokens is not None:
+            # Check that we have the right number of extra_id special tokens
+            extra_tokens = len(set(filter(lambda x: bool("extra_id" in x), additional_special_tokens)))
+            if extra_tokens != extra_ids:
+                raise ValueError(
+                    f"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are provided to T5Tokenizer. "
+                    "In this case the additional_special_tokens must include the extra_ids tokens"
+                )
 
         super().__init__(
             eos_token=eos_token,
             unk_token=unk_token,
             pad_token=pad_token,
+            extra_ids=extra_ids,
             additional_special_tokens=additional_special_tokens,
             **kwargs,
         )

src/transformers/tokenization_t5_fast.py

@@ -126,6 +126,18 @@ class T5TokenizerFast(PreTrainedTokenizerFast):
         additional_special_tokens=None,
         **kwargs
     ):
+        # Add extra_ids to the special token list
+        if extra_ids > 0 and additional_special_tokens is None:
+            additional_special_tokens = ["<extra_id_{}>".format(i) for i in range(extra_ids)]
+        elif extra_ids > 0 and additional_special_tokens is not None:
+            # Check that we have the right number of extra special tokens
+            extra_tokens = len(set(filter(lambda x: bool("extra_id_" in x), additional_special_tokens)))
+            if extra_tokens != extra_ids:
+                raise ValueError(
+                    f"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are provided to T5Tokenizer. "
+                    "In this case the additional_special_tokens must include the extra_ids tokens"
+                )
+
         super().__init__(
             vocab_file,
             tokenizer_file=tokenizer_file,
@@ -137,13 +149,6 @@ class T5TokenizerFast(PreTrainedTokenizerFast):
             **kwargs,
         )
 
-        if extra_ids > 0:
-            all_extra_tokens = ["<extra_id_{}>".format(i) for i in range(extra_ids)]
-            if all(tok not in self.additional_special_tokens for tok in all_extra_tokens):
-                self.additional_special_tokens = self.additional_special_tokens + [
-                    "<extra_id_{}>".format(i) for i in range(extra_ids)
-                ]
-
         self.vocab_file = vocab_file
         self._extra_ids = extra_ids
 

src/transformers/tokenization_transfo_xl.py

@@ -164,7 +164,19 @@ class TransfoXLTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
-            unk_token=unk_token, eos_token=eos_token, additional_special_tokens=additional_special_tokens, **kwargs
+            special=special,
+            min_freq=min_freq,
+            max_size=max_size,
+            lower_case=lower_case,
+            delimiter=delimiter,
+            vocab_file=vocab_file,
+            pretrained_vocab_file=pretrained_vocab_file,
+            never_split=never_split,
+            unk_token=unk_token,
+            eos_token=eos_token,
+            additional_special_tokens=additional_special_tokens,
+            language=language,
+            **kwargs,
         )
 
         if never_split is None:

src/transformers/tokenization_utils_base.py

@@ -1673,7 +1673,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin):
         if (
             "tokenizer_file" not in resolved_vocab_files or resolved_vocab_files["tokenizer_file"] is None
         ) and cls.slow_tokenizer_class is not None:
-            slow_tokenizer = cls.slow_tokenizer_class._from_pretrained(
+            slow_tokenizer = (cls.slow_tokenizer_class)._from_pretrained(
                 copy.deepcopy(resolved_vocab_files),
                 pretrained_model_name_or_path,
                 copy.deepcopy(init_configuration),

src/transformers/tokenization_utils_fast.py

@@ -16,7 +16,6 @@
     For slow (python) tokenizers see tokenization_utils.py
 """
 
-import copy
 import json
 import os
 import warnings
@@ -105,7 +104,7 @@ class PreTrainedTokenizerFast(PreTrainedTokenizerBase):
         self._tokenizer = fast_tokenizer
 
         if slow_tokenizer is not None:
-            kwargs = copy.deepcopy(slow_tokenizer.init_kwargs)
+            kwargs.update(slow_tokenizer.init_kwargs)
 
         # We call this after having initialized the backend tokenizer because we update it.
         super().__init__(**kwargs)

src/transformers/tokenization_xlm.py

@@ -621,6 +621,9 @@ class XLMTokenizer(PreTrainedTokenizer):
             cls_token=cls_token,
             mask_token=mask_token,
             additional_special_tokens=additional_special_tokens,
+            lang2id=lang2id,
+            id2lang=id2lang,
+            do_lowercase_and_remove_accent=do_lowercase_and_remove_accent,
             **kwargs,
         )
 

src/transformers/tokenization_xlm_prophetnet.py

@@ -123,9 +123,10 @@ class XLMProphetNetTokenizer(PreTrainedTokenizer):
         super().__init__(
             bos_token=bos_token,
             eos_token=eos_token,
-            unk_token=unk_token,
             sep_token=sep_token,
+            unk_token=unk_token,
             pad_token=pad_token,
+            cls_token=cls_token,
             mask_token=mask_token,
             **kwargs,
         )

src/transformers/tokenization_xlnet.py

@@ -128,6 +128,9 @@ class XLNetTokenizer(PreTrainedTokenizer):
         **kwargs
     ):
         super().__init__(
+            do_lower_case=do_lower_case,
+            remove_space=remove_space,
+            keep_accents=keep_accents,
             bos_token=bos_token,
             eos_token=eos_token,
             unk_token=unk_token,

tests/test_tokenization_common.py

@@ -177,6 +177,25 @@ class TokenizerTesterMixin:
         self.assertIn("tokenizer_file", signature.parameters)
         self.assertIsNone(signature.parameters["tokenizer_file"].default)
 
+    def test_tokenizer_slow_store_full_signature(self):
+        signature = inspect.signature(self.tokenizer_class.__init__)
+        tokenizer = self.get_tokenizer()
+
+        for parameter_name, parameter in signature.parameters.items():
+            if parameter.default != inspect.Parameter.empty:
+                self.assertIn(parameter_name, tokenizer.init_kwargs)
+
+    def test_tokenizer_fast_store_full_signature(self):
+        if not self.test_rust_tokenizer:
+            return
+
+        signature = inspect.signature(self.rust_tokenizer_class.__init__)
+        tokenizer = self.get_rust_tokenizer()
+
+        for parameter_name, parameter in signature.parameters.items():
+            if parameter.default != inspect.Parameter.empty:
+                self.assertIn(parameter_name, tokenizer.init_kwargs)
+
     def test_rust_and_python_full_tokenizers(self):
         if not self.test_rust_tokenizer:
             return