Comments (2)
@la-cruche : Can this issue be closed?
from sagemaker-huggingface-inference-toolkit.
@vdantu @ahsan-z-khan i thought when running .deploy()
the train.py
from training is not taken in to account.
I get the same error as olivier.
File "/opt/conda/lib/python3.6/site-packages/sagemaker_huggingface_inference_toolkit/handler_service.py", line 207, in handle
self.initialize(context)
File "/opt/conda/lib/python3.6/site-packages/sagemaker_huggingface_inference_toolkit/handler_service.py", line 75, in initialize
self.validate_and_initialize_user_module()
File "/opt/conda/lib/python3.6/site-packages/sagemaker_huggingface_inference_toolkit/handler_service.py", line 239, in validate_and_initialize_user_module
user_module = importlib.import_module(user_module_name)
File "/opt/conda/lib/python3.6/importlib/__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 994, in _gcd_import
File "<frozen importlib._bootstrap>", line 971, in _find_and_load
File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
Backend response time: 4
File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/.sagemaker/mms/models/model/code/train.py", line 2, in <module>
from sklearn.metrics import accuracy_score, precision_recall_fscore_support
ModuleNotFoundError: No module named 'sklearn'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/conda/lib/python3.6/site-packages/mms/service.py", line 108, in predict
ret = self._entry_point(input_batch, self.context)
File "/opt/conda/lib/python3.6/site-packages/sagemaker_huggingface_inference_toolkit/handler_service.py", line 231, in handle
raise PredictionException(str(e), 400)
No module named 'sklearn' : 400
It is even more interesting since the train.py
it not included in the model.tar.gz
Does this mean Estimator.deploy
is also pulling/using the train.py
to the inference container?
from sagemaker-huggingface-inference-toolkit.
Related Issues (20)
- Using custom inference script and models from Hub HOT 1
- get_pipeline function passes Path object rather than PretrainedTokenizer
- No support for multi-GPU HOT 2
- 🏷️ invalid
- Sagemaker endpoint inferencing error with HF model loading from s3bucket with new transformer update HOT 5
- Support multiple return sequences
- HF_TASK Enviournment Variable error HOT 1
- Endpoint creation completes before custom model_fn finishes loading resources
- ARCHITECTURES_2_TASK is limiting the tasks able to be deployed with HF DLC HOT 11
- Make DEFAULT_HF_HUB_MODEL_EXPORT_DIRECTORY configurable
- Sagemaker inference not loading model weight from s3
- Sagemaker endpoint doesn't use GPU (instance ml.g4dn.xlarge) HOT 1
- device kernel image is invalid
- Sagemaker endpoint inference Fails when following a tutorial
- Dead Link for Available HF_Tasks HOT 1
- SageMaker deployment errors HOT 2
- Error on Sagemaker deployment for v1.0.1 HOT 1
- How can I delpoy a model with AWS S3 and without downloading model from hunggingface via TGI image on Sagemaker? HOT 2
- How to enable Batch inference on AWS deployed Serverless model from Hub? HOT 1
- Where is the logic for detecting custom inference.py? HOT 6
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sagemaker-huggingface-inference-toolkit.