This is an invalid model
KokinSok opened this issue · 4 comments
Describe the bug
Microsoft.ML.OnnxRuntime.OnnxRuntimeException: '[ErrorCode:InvalidGraph] Load model from C:\Users\User\Desktop\C# Code\OnnxConsoleApp\MLWebApi\Models\WhisperSmall.en\model.onnx failed:This is an invalid model. In Node, ("BeamSearch_node", BeamSearch, "com.microsoft", -1) : ("log_mel": tensor(float),"max_length": tensor(int32),"min_length": tensor(int32),"num_beams": tensor(int32),"num_return_sequences": tensor(int32),"length_penalty": tensor(float),"repetition_penalty": tensor(float),"","","","","",) -> ("sequences",) , Error Unrecognized attribute: unidirectional for operator MultiHeadAttention
==> Context: Bad node spec for node. Name: Attention_0 OpType: MultiHeadAttention'
To Reproduce
I have converted the Hugging Face Model: '', to Onnx runtime using Olive in a dedicated environment.
python prepare_whisper_configs.py --model_name openai/whisper-small.en
python -m olive.workflows.run --config whisper_cpu_int8.json --setup
python -m olive.workflows.run --config whisper_cpu_int8.json
Expected behavior
Olive has tons of potential, it needs much better instructions, especially on the package support, because I had a lot of trouble getting packages to work properly, even from a clean fresh env.
Olive config
C:>pip list
Package Version
accelerate 0.26.1
aiohttp 3.9.1
aiosignal 1.3.1
alembic 1.13.1
async-timeout 4.0.3
attrs 23.2.0
bitstring 4.0.2
certifi 2022.9.24
cffi 1.15.1
charset-normalizer 2.1.1
colorama 0.4.5
coloredlogs 15.0.1
colorlog 6.8.2
contextlib2 21.6.0
contourpy 1.2.0
cryptography 40.0.2
cycler 0.12.1
datasets 2.16.1
Deprecated 1.2.14
dill 0.3.7
ecdsa 0.18.0
esptool 4.5.1
ffmpeg-python 0.2.0
filelock 3.8.0
flatbuffers 23.5.26
fonttools 4.48.1
frozenlist 1.4.1
fsspec 2023.10.0
future 0.18.2
greenlet 3.0.3
huggingface-hub 0.20.2
humanfriendly 10.0
idna 3.4
importlib-resources 6.1.1
Jinja2 3.1.3
joblib 1.3.2
kiwisolver 1.4.5
lightning-utilities 0.10.1
Mako 1.3.2
MarkupSafe 2.1.3
matplotlib 3.8.2
more-itertools 9.0.0
mpmath 1.3.0
multidict 6.0.4
multiprocess 0.70.15
networkx 3.2.1
neural-compressor 2.4.1
numpy 1.23.4
olive-ai 0.4.0
onnx 1.15.0
onnxruntime 1.17.0
opencv-python-headless 4.9.0.80
optimum 1.16.1
optuna 3.5.0
packaging 21.3
pandas 2.1.4
pillow 10.2.0
pip 24.0
prettytable 3.9.0
protobuf 3.20.3
psutil 5.9.7
py-cpuinfo 9.0.0
pyarrow 14.0.2
pyarrow-hotfix 0.6
pycocotools 2.0.7
pycparser 2.21
pydantic 1.10.14
pyparsing 3.0.9
pyreadline3 3.4.1
pyserial 3.5
python-dateutil 2.8.2
python-dotenv 1.0.1
pytz 2023.3.post1
PyYAML 6.0
reedsolo 1.6.0
regex 2022.9.13
requests 2.28.1
safetensors 0.4.1
schema 0.7.5
scikit-learn 1.4.0
scipy 1.12.0
semantic-version 2.10.0
sentencepiece 0.1.99
setuptools 65.5.0
setuptools-rust 1.5.2
six 1.16.0
SQLAlchemy 2.0.25
sympy 1.12
tabulate 0.9.0
threadpoolctl 3.2.0
timm 0.9.12
tokenizers 0.15.0
torch 2.1.2
torchaudio 2.1.2
torchmetrics 0.10.3
torchvision 0.16.2
tqdm 4.64.1
transformers 4.36.2
typing_extensions 4.9.0
tzdata 2023.4
urllib3 1.26.12
wcwidth 0.2.13
whisper 1.1.10
wrapt 1.16.0
xxhash 3.4.1
yarl 1.9.4
zipp 3.17.0
Olive logs
Add logs here.
Other information
- OS: Win 10 22H2 build 19045.3930
- Olive version: olive-ai 0.4.0
- ONNXRuntime package and version: onnxruntime 1.17.0
Additional context
This application has tons of potential, it just needs some debugging to make more stable and easier to install and get working!
import onnx, onnxruntime
model_name = "C:/OpenAI/OutputModels/CandidateModels/cpu-cpu/BestCandidateModel_1/model.onnx"
onnx_model = onnx.load(model_name)
onnx.checker.check_model(onnx_model)
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\User\anaconda3\envs\Onnx\lib\site-packages\onnx\checker.py", line 148, in check_model
C.check_model(protobuf_string, full_check, skip_opset_compatibility_check)
onnx.onnx_cpp2py_export.checker.ValidationError: No opset import for domain ''
==> Context: Bad node spec for node. Name: /Constant OpType: Constant
Hi, thanks for sharing this issue.
What version of ORT are you using for your C# application? Since the model has onnxruntime contrib operators, the version of ORT used to create the model and run it must be the same. Otherwise, there might be mismatch between the operator specs which appears to be the case here judging from the error Unrecognized attribute: unidirectional for operator MultiHeadAttention
The attribute unidirectional was only added in the most recent release 1.17.0 microsoft/onnxruntime#19112
Thank You @jambayk! I will try the whole process again and ensure the same version of the OnnxRunTime Environment is used.
OnnxRuntime 1.15.0 is where Models run, after that, we get errors in the Verify method. However, Whisper wont run in these later versions. I will do a complete convers again using the same version as you suggested and come back to you.
Thank You!
Ok, no, I still have the same problem:
dotnet MLWebApi.dll
$(String[] args) in ...Program.cs:line 45
Unhandled exception. Microsoft.ML.OnnxRuntime.OnnxRuntimeException: [ErrorCode:Fail] subgraph_whisper_encoder.cc:43 onnxruntime::contrib::transformers::WhisperEncoderSubgraph::Validate expect 2 inputs, got:3
at Microsoft.ML.OnnxRuntime.InferenceSession.Init(String modelPath, SessionOptions options, PrePackedWeightsContainer prepackedWeightsContainer)
at Microsoft.ML.OnnxRuntime.InferenceSession..ctor(String modelPath, SessionOptions options)
at MLWebApi.MLServices.AutomaticSpeechRecognition..ctor(String modelPath) in ...\AutomaticSpeechRecognition.cs:line 87
at Program.
Line 87:
Session = new InferenceSession(WhisperConfig.ModelPath, sessionOptions);
Pretty darn painful!
This code is running in a WebAPI, so IIS is running the code in a App Pool. I have updated all the Runtimes and so on, and other AI API's run on the same server. Odd...