Description
I encountered an error while using hls4ml to convert an ONNX model. The relevant portion of the error message is as follows:
File "/home/gy2456/sayanti_hls/example-models/hls_onnx_check1.py", line 27, in
hls_model = hls4ml.converters.convert_from_onnx_model(onnx_model, hls_config=config)
File "/home/gy2456/sayanti_hls/example-models/venv_say/lib64/python3.9/site-packages/hls4ml/converters/init.py", line 366, in convert_from_onnx_model
return onnx_to_hls(config)
File "/home/gy2456/sayanti_hls/example-models/venv_say/lib64/python3.9/site-packages/hls4ml/converters/onnx_to_hls.py", line 281, in onnx_to_hls
raise Exception(f'ERROR: Unsupported operation type: {node.op_type}')
Exception: ERROR: Unsupported operation type: BipolarQuant
Steps to Reproduce
I ran the conversion script which is a simple python script:
import hls4ml
import onnx
import onnx
from onnx import helper
Load your ONNX model
onnx_model = onnx.load("modelkeras.onnx")
import onnx
from onnx import helper
import qonnx
Load the ONNX model
#onnx_model = onnx.load("your_model.onnx")
#qonnx-convert modelkeras.onnx --output-file modelkeras_qcdq.onnx --output-style qcdq
onnx_model_path = 'modelkeras_qcdq.onnx'
#onnx_model_path = 'CNV_1W2A_updated.onnx' # Replace with your ONNX model path
onnx_model = onnx.load(onnx_model_path)
#onnx.checker.check_model(onnx_model)
Step 3: Convert ONNX model to HLS4ML configuration
config = hls4ml.utils.config_from_onnx_model(onnx_model)
Optionally, print out the configuration for verification
print(config)
Step 4: Convert to HLS4ML model
hls_model = hls4ml.converters.convert_from_onnx_model(onnx_model, hls_config=config)
The script attempts to convert an ONNX model with the configuration specified in hls_config.
The error is raised during the conversion process due to the unsupported operation type BipolarQuant and Quant.
Expected Behavior
I expected the hls4ml library to successfully convert the ONNX model without encountering an unsupported operation type error.
Environment
hls4ml Version: [0.8.1]
Python Version: 3.9
onnx version: 1.17.0
OS: running on Linux VM
ONNX Model Details: it's an existing pretrained model in this path: https://github.com/fastmachinelearning/qonnx?tab=readme-ov-file
Additional Information
If there are any known workarounds or if the operation type Quant and BipolarQuant are planned to be supported in future versions, please let me know. Any guidance on how to proceed or fix this issue would be appreciated.
Thank you!