When trying to use the hub.load
function from tensorflow_hub
, I get an OSError: SavedModel file does not exist at:
error.
The weird thing is that it worked a few days ago, so I don't quite understand why I'm getting this error now.
Code to reproduce:
import tensorflow as tf
import tensorflow_hub as hub
URL = 'https://tfhub.dev/google/universal-sentence-encoder/4'
embed = hub.load(URL)
Specific error received:
OSError Traceback (most recent call last)
<ipython-input-11-dfb80f0299b2> in <module>
1 URL = 'https://tfhub.dev/google/universal-sentence-encoder/4'
----> 2 embed = hub.load(URL)
~/opt/anaconda3/lib/python3.7/site-packages/tensorflow_hub/module_v2.py in load(handle, tags)
100 if tags is None and is_hub_module_v1:
101 tags = []
--> 102 obj = tf_v1.saved_model.load_v2(module_path, tags=tags)
103 obj._is_hub_module_v1 = is_hub_module_v1 # pylint: disable=protected-access
104 return obj
~/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/saved_model/load.py in load(export_dir, tags)
576 ValueError: If `tags` don't match a MetaGraph in the SavedModel.
577 """
--> 578 return load_internal(export_dir, tags)
579
580
~/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/saved_model/load.py in load_internal(export_dir, tags, loader_cls)
586 tags = nest.flatten(tags)
587 saved_model_proto, debug_info = (
--> 588 loader_impl.parse_saved_model_with_debug_info(export_dir))
589
590 if (len(saved_model_proto.meta_graphs) == 1 and
~/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/saved_model/loader_impl.py in parse_saved_model_with_debug_info(export_dir)
54 parsed. Missing graph debug info file is fine.
55 """
---> 56 saved_model = _parse_saved_model(export_dir)
57
58 debug_info_path = os.path.join(
~/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/saved_model/loader_impl.py in parse_saved_model(export_dir)
111 (export_dir,
112 constants.SAVED_MODEL_FILENAME_PBTXT,
--> 113 constants.SAVED_MODEL_FILENAME_PB))
114
115
OSError: SavedModel file does not exist at: /var/folders/77/rvfl368x44s51r8dc3b6l2rh0000gn/T/tfhub_modules/063d866c06683311b44b4992fd46003be952409c/{saved_model.pbtxt|saved_model.pb}
So, just deleting that folder and running the hub.load() function again solves the issue
I have tried the above solution, but it didn't work for me...
Here's what worked:
import tensorflow_text
model = hub.load("/Users/bilguun/Desktop/universal-sentence-encoder-multilingual-large_3/")
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