Upload t5.py

t5.py

@@ -0,0 +1,201 @@
+# Modified from:
+#   PixArt: https://github.com/PixArt-alpha/PixArt-alpha/blob/master/diffusion/model/t5.py
+import os
+import re
+import html
+import urllib.parse as ul
+
+import ftfy
+import torch
+from bs4 import BeautifulSoup
+from transformers import T5EncoderModel, AutoTokenizer
+from huggingface_hub import hf_hub_download
+
+
+class T5Embedder:
+    available_models = ['t5-v1_1-xxl', 't5-v1_1-xl', 'flan-t5-xl']
+    bad_punct_regex = re.compile(r'['+'#®•©™&@·º½¾¿¡§~'+'\)'+'\('+'\]'+'\['+'\}'+'\{'+'\|'+'\\'+'\/'+'\*' + r']{1,}')  # noqa
+
+    def __init__(self, device, dir_or_name='t5-v1_1-xxl', *, local_cache=False, cache_dir=None, hf_token=None, use_text_preprocessing=True,
+                 t5_model_kwargs=None, torch_dtype=None, use_offload_folder=None, model_max_length=120):
+        self.device = torch.device(device)
+        self.torch_dtype = torch_dtype or torch.bfloat16
+        if t5_model_kwargs is None:
+            t5_model_kwargs = {'low_cpu_mem_usage': True, 'torch_dtype': self.torch_dtype}
+            t5_model_kwargs['device_map'] = {'shared': self.device, 'encoder': self.device}
+
+        self.use_text_preprocessing = use_text_preprocessing
+        self.hf_token = hf_token
+        self.cache_dir = cache_dir or os.path.expanduser('~/.cache/IF_')
+        self.dir_or_name = dir_or_name
+        tokenizer_path, path = dir_or_name, dir_or_name
+        if local_cache:
+            cache_dir = os.path.join(self.cache_dir, dir_or_name)
+            tokenizer_path, path = cache_dir, cache_dir
+        elif dir_or_name in self.available_models:
+            cache_dir = os.path.join(self.cache_dir, dir_or_name)
+            for filename in [
+                'config.json', 'special_tokens_map.json', 'spiece.model', 'tokenizer_config.json',
+                'pytorch_model.bin.index.json', 'pytorch_model-00001-of-00002.bin', 'pytorch_model-00002-of-00002.bin'
+            ]:
+                hf_hub_download(repo_id=f'DeepFloyd/{dir_or_name}', filename=filename, cache_dir=cache_dir,
+                                force_filename=filename, token=self.hf_token)
+            tokenizer_path, path = cache_dir, cache_dir
+        else:
+            cache_dir = os.path.join(self.cache_dir, 't5-v1_1-xxl')
+            for filename in [
+                'config.json', 'special_tokens_map.json', 'spiece.model', 'tokenizer_config.json',
+            ]:
+                hf_hub_download(repo_id='DeepFloyd/t5-v1_1-xxl', filename=filename, cache_dir=cache_dir,
+                                force_filename=filename, token=self.hf_token)
+            tokenizer_path = cache_dir
+
+        print(tokenizer_path)
+        self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path)
+        self.model = T5EncoderModel.from_pretrained(path, **t5_model_kwargs).eval()
+        self.model_max_length = model_max_length
+
+    def get_text_embeddings(self, texts):
+        texts = [self.text_preprocessing(text) for text in texts]
+
+        text_tokens_and_mask = self.tokenizer(
+            texts,
+            max_length=self.model_max_length,
+            padding='max_length',
+            truncation=True,
+            return_attention_mask=True,
+            add_special_tokens=True,
+            return_tensors='pt'
+        )
+
+        text_tokens_and_mask['input_ids'] = text_tokens_and_mask['input_ids']
+        text_tokens_and_mask['attention_mask'] = text_tokens_and_mask['attention_mask']
+
+        with torch.no_grad():
+            text_encoder_embs = self.model(
+                input_ids=text_tokens_and_mask['input_ids'].to(self.device),
+                attention_mask=text_tokens_and_mask['attention_mask'].to(self.device),
+            )['last_hidden_state'].detach()
+        return text_encoder_embs, text_tokens_and_mask['attention_mask'].to(self.device)
+
+    def text_preprocessing(self, text):
+        if self.use_text_preprocessing:
+            # The exact text cleaning as was in the training stage:
+            text = self.clean_caption(text)
+            text = self.clean_caption(text)
+            return text
+        else:
+            return text.lower().strip()
+
+    @staticmethod
+    def basic_clean(text):
+        text = ftfy.fix_text(text)
+        text = html.unescape(html.unescape(text))
+        return text.strip()
+
+    def clean_caption(self, caption):
+        caption = str(caption)
+        caption = ul.unquote_plus(caption)
+        caption = caption.strip().lower()
+        caption = re.sub('<person>', 'person', caption)
+        # urls:
+        caption = re.sub(
+            r'\b((?:https?:(?:\/{1,3}|[a-zA-Z0-9%])|[a-zA-Z0-9.\-]+[.](?:com|co|ru|net|org|edu|gov|it)[\w/-]*\b\/?(?!@)))',  # noqa
+            '', caption)  # regex for urls
+        caption = re.sub(
+            r'\b((?:www:(?:\/{1,3}|[a-zA-Z0-9%])|[a-zA-Z0-9.\-]+[.](?:com|co|ru|net|org|edu|gov|it)[\w/-]*\b\/?(?!@)))',  # noqa
+            '', caption)  # regex for urls
+        # html:
+        caption = BeautifulSoup(caption, features='html.parser').text
+
+        # @<nickname>
+        caption = re.sub(r'@[\w\d]+\b', '', caption)
+
+        # 31C0—31EF CJK Strokes
+        # 31F0—31FF Katakana Phonetic Extensions
+        # 3200—32FF Enclosed CJK Letters and Months
+        # 3300—33FF CJK Compatibility
+        # 3400—4DBF CJK Unified Ideographs Extension A
+        # 4DC0—4DFF Yijing Hexagram Symbols
+        # 4E00—9FFF CJK Unified Ideographs
+        caption = re.sub(r'[\u31c0-\u31ef]+', '', caption)
+        caption = re.sub(r'[\u31f0-\u31ff]+', '', caption)
+        caption = re.sub(r'[\u3200-\u32ff]+', '', caption)
+        caption = re.sub(r'[\u3300-\u33ff]+', '', caption)
+        caption = re.sub(r'[\u3400-\u4dbf]+', '', caption)
+        caption = re.sub(r'[\u4dc0-\u4dff]+', '', caption)
+        caption = re.sub(r'[\u4e00-\u9fff]+', '', caption)
+        #######################################################
+
+        # все виды тире / all types of dash --> "-"
+        caption = re.sub(
+            r'[\u002D\u058A\u05BE\u1400\u1806\u2010-\u2015\u2E17\u2E1A\u2E3A\u2E3B\u2E40\u301C\u3030\u30A0\uFE31\uFE32\uFE58\uFE63\uFF0D]+',  # noqa
+            '-', caption)
+
+        # кавычки к одному стандарту
+        caption = re.sub(r'[`´«»“”¨]', '"', caption)
+        caption = re.sub(r'[‘’]', "'", caption)
+
+        # &quot;
+        caption = re.sub(r'&quot;?', '', caption)
+        # &amp
+        caption = re.sub(r'&amp', '', caption)
+
+        # ip adresses:
+        caption = re.sub(r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}', ' ', caption)
+
+        # article ids:
+        caption = re.sub(r'\d:\d\d\s+$', '', caption)
+
+        # \n
+        caption = re.sub(r'\\n', ' ', caption)
+
+        # "#123"
+        caption = re.sub(r'#\d{1,3}\b', '', caption)
+        # "#12345.."
+        caption = re.sub(r'#\d{5,}\b', '', caption)
+        # "123456.."
+        caption = re.sub(r'\b\d{6,}\b', '', caption)
+        # filenames:
+        caption = re.sub(r'[\S]+\.(?:png|jpg|jpeg|bmp|webp|eps|pdf|apk|mp4)', '', caption)
+
+        #
+        caption = re.sub(r'[\"\']{2,}', r'"', caption)  # """AUSVERKAUFT"""
+        caption = re.sub(r'[\.]{2,}', r' ', caption)  # """AUSVERKAUFT"""
+
+        caption = re.sub(self.bad_punct_regex, r' ', caption)  # ***AUSVERKAUFT***, #AUSVERKAUFT
+        caption = re.sub(r'\s+\.\s+', r' ', caption)  # " . "
+
+        # this-is-my-cute-cat / this_is_my_cute_cat
+        regex2 = re.compile(r'(?:\-|\_)')
+        if len(re.findall(regex2, caption)) > 3:
+            caption = re.sub(regex2, ' ', caption)
+
+        caption = self.basic_clean(caption)
+
+        caption = re.sub(r'\b[a-zA-Z]{1,3}\d{3,15}\b', '', caption)  # jc6640
+        caption = re.sub(r'\b[a-zA-Z]+\d+[a-zA-Z]+\b', '', caption)  # jc6640vc
+        caption = re.sub(r'\b\d+[a-zA-Z]+\d+\b', '', caption)  # 6640vc231
+
+        caption = re.sub(r'(worldwide\s+)?(free\s+)?shipping', '', caption)
+        caption = re.sub(r'(free\s)?download(\sfree)?', '', caption)
+        caption = re.sub(r'\bclick\b\s(?:for|on)\s\w+', '', caption)
+        caption = re.sub(r'\b(?:png|jpg|jpeg|bmp|webp|eps|pdf|apk|mp4)(\simage[s]?)?', '', caption)
+        caption = re.sub(r'\bpage\s+\d+\b', '', caption)
+
+        caption = re.sub(r'\b\d*[a-zA-Z]+\d+[a-zA-Z]+\d+[a-zA-Z\d]*\b', r' ', caption)  # j2d1a2a...
+
+        caption = re.sub(r'\b\d+\.?\d*[xх×]\d+\.?\d*\b', '', caption)
+
+        caption = re.sub(r'\b\s+\:\s+', r': ', caption)
+        caption = re.sub(r'(\D[,\./])\b', r'\1 ', caption)
+        caption = re.sub(r'\s+', ' ', caption)
+
+        caption.strip()
+
+        caption = re.sub(r'^[\"\']([\w\W]+)[\"\']$', r'\1', caption)
+        caption = re.sub(r'^[\'\_,\-\:;]', r'', caption)
+        caption = re.sub(r'[\'\_,\-\:\-\+]$', r'', caption)
+        caption = re.sub(r'^\.\S+$', '', caption)
+
+        return caption.strip()