I'm trying to use your code for some time but I keep running into issues. I was wondering whether is was doing something wrong and if you could help me.
The main error I run into now is that when I try to run
sh examples/run_unsup_usnid.sh
it give me the error:
File "/TEXTOIR/open_intent_discovery/backbones/bert.py", line 341, in forward if not self.args.wo_ce: AttributeError: 'EasyDict' object has no attribute 'wo_ce'
But since I keep running into problems, I was wondering whether I was doing something wrong. Here is a overview of the steps I took:
Based on the requirements.txt I changed conda create --name textoir python=3.6 to conda create --name textoir python=3.8.13
ERROR: Could not find a version that satisfies the requirement python==3.8.13 (from versions: none)
ERROR: No matching distribution found for python==3.8.13
ERROR: Could not find a version that satisfies the requirement faiss==1.7.2 (from versions: none)
ERROR: No matching distribution found for faiss==1.7.2
ERROR: Cannot install scikit-learn==0.24.1 and scikit_learn==1.2.0 because these package versions have conflicting dependencies.ERROR: Cannot install -r requirements.txt (line 13) and Keras==2.4.3 because these package versions have conflicting dependencies.ERROR: Cannot install -r requirements.txt (line 10), -r requirements.txt (line 11), -r requirements.txt (line 12), -r requirements.txt (line 14), -r requirements.txt (line 5), -r requirements.txt (line 6), -r requirements.txt (line 9) and numpy==1.23.1 because these package versions have conflicting dependencies.
Next i ran sh examples/run_unsup_usnid.sh which gave me the following error:
Traceback (most recent call last):
File "run.py", line 3, in <module>
from backbones.base import ModelManager
File "/TEXTOIR2/open_intent_discovery/backbones/__init__.py", line 5, in <module>
from .sae import get_stacked_autoencoder
File "/TEXTOIR/open_intent_discovery/backbones/sae.py", line 5, in <module>
from keras.engine.topology import Layer, InputSpec
So in /TEXTOIR/open_intent_discovery/backbones/sae.py i changed from keras.engine.topology import Layer, InputSpec to from tensorflow.keras.layers import Layer, InputSpec
I got this error:
Traceback (most recent call last):
File "/home/iskander/miniforge3/envs/textoir2/lib/python3.8/site-packages/transformers/utils/hub.py", line 385, in cached_file
resolved_file = hf_hub_download(
File "/home/iskander/miniforge3/envs/textoir2/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "/home/iskander/miniforge3/envs/textoir2/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/sharing/disk1/pretrained_embedding/bert/uncased_L-12_H-768_A-12/'. Use `repo_type` argument if needed.
/home/sharing/disk1/pretrained_embedding/bert/uncased_L-12_H-768_A-12/ seems to be hard coded somewhere. I don't remember nor can I find how i fixed it.
Anyway after fixing that I got the main error I am asking you about:
File "/TEXTOIR/open_intent_discovery/backbones/bert.py", line 341, in forward if not self.args.wo_ce: AttributeError: 'EasyDict' object has no attribute 'wo_ce'
Again I cannot find any mentions of this argument anywhere.
Anyway thanks for composing TEXTOIR. I would greatly appreciate it if you could help me.
Hi,
I'm trying to use your code for some time but I keep running into issues. I was wondering whether is was doing something wrong and if you could help me.
The main error I run into now is that when I try to run
sh examples/run_unsup_usnid.sh
it give me the error:
File "/TEXTOIR/open_intent_discovery/backbones/bert.py", line 341, in forward if not self.args.wo_ce: AttributeError: 'EasyDict' object has no attribute 'wo_ce'
But since I keep running into problems, I was wondering whether I was doing something wrong. Here is a overview of the steps I took: Based on the requirements.txt I changed
conda create --name textoir python=3.6
toconda create --name textoir python=3.8.13
I ran the rest of the code:
However based on the following series of errors:
ERROR: Cannot install scikit-learn==0.24.1 and scikit_learn==1.2.0 because these package versions have conflicting dependencies.
ERROR: Cannot install -r requirements.txt (line 13) and Keras==2.4.3 because these package versions have conflicting dependencies.
ERROR: Cannot install -r requirements.txt (line 10), -r requirements.txt (line 11), -r requirements.txt (line 12), -r requirements.txt (line 14), -r requirements.txt (line 5), -r requirements.txt (line 6), -r requirements.txt (line 9) and numpy==1.23.1 because these package versions have conflicting dependencies.
I changed the requirements.txt to:
Next i ran
sh examples/run_unsup_usnid.sh
which gave me the following error:So in /TEXTOIR/open_intent_discovery/backbones/sae.py i changed
from keras.engine.topology import Layer, InputSpec
tofrom tensorflow.keras.layers import Layer, InputSpec
I got this error:
/home/sharing/disk1/pretrained_embedding/bert/uncased_L-12_H-768_A-12/
seems to be hard coded somewhere. I don't remember nor can I find how i fixed it.Anyway after fixing that I got the main error I am asking you about:
File "/TEXTOIR/open_intent_discovery/backbones/bert.py", line 341, in forward if not self.args.wo_ce: AttributeError: 'EasyDict' object has no attribute 'wo_ce'
Again I cannot find any mentions of this argument anywhere.
Anyway thanks for composing TEXTOIR. I would greatly appreciate it if you could help me.