I have converted my .pt to .onnx file but having trouble in conversion of .onnx file to blob format via the provided blobconverter tool. The error log is copied below:

Error message

Command failed with exit code 1, command: /app/venvs/venv2022_1/bin/python /app/model_compiler/openvino_2022.1/converter.py --precisions FP16 --output_dir /tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662 --download_dir /tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662 --name model --model_root /tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662

Console output (stdout)

========== Converting model to IR (FP16)

Conversion command: /app/venvs/venv2022_1/bin/python -- /app/venvs/venv2022_1/bin/mo --framework=onnx --data_type=FP16 --output_dir=/tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662/model/FP16 --model_name=model --input= --data_type=FP16 '--mean_values=[127.5,127.5,127.5]' '--scale_values=[255,255,255]' --input_model=/tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662/model/FP16/model.onnx

Model Optimizer arguments:

Common parameters:

- Path to the Input Model: /tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662/model/FP16/model.onnx

- Path for generated IR: /tmp/blobconverter/ad8ecc33cc4c425c92190b5df5734662/model/FP16

- IR output name: model

- Log level: ERROR

- Batch: Not specified, inherited from the model

- Input layers: Not specified, inherited from the model

- Output layers: Not specified, inherited from the model

- Input shapes: Not specified, inherited from the model

- Source layout: Not specified

- Target layout: Not specified

- Layout: Not specified

- Mean values: [127.5,127.5,127.5]

- Scale values: [255,255,255]

- Scale factor: Not specified

- Precision of IR: FP16

- Enable fusing: True

- User transformations: Not specified

- Reverse input channels: False

- Enable IR generation for fixed input shape: False

- Use the transformations config file: None

Advanced parameters:

- Force the usage of legacy Frontend of Model Optimizer for model conversion into IR: False

- Force the usage of new Frontend of Model Optimizer for model conversion into IR: False

OpenVINO runtime found in: /opt/intel/openvino2022_1/python/python3.8/openvino

OpenVINO runtime version: 2022.1.0-7019-cdb9bec7210-releases/2022/1

Model Optimizer version: 2022.1.0-7019-cdb9bec7210-releases/2022/1

[WARN] 2024-10-21T11:04:19z frontends/onnx/frontend/src/ops_bridge.cpp 240 Currently ONNX operator set version: 18 is unsupported. Falling back to: 15

FAILED:

model

Error output (stderr)

[ ERROR ] -------------------------------------------------

[ ERROR ] ----------------- INTERNAL ERROR ----------------

[ ERROR ] Unexpected exception happened.

[ ERROR ] Please contact Model Optimizer developers and forward the following information:

[ ERROR ] invalid external data: ExternalDataInfo(data_full_path: /tmp/blobconverter/005f4f8f960342058b5275be32c79dd2/model/FP16/my_model.onnx.data, offset: 512, data_length: 12800, sha1_digest: 0)

[ ERROR ] Traceback (most recent call last):

File "/app/venvs/venv2022_1/lib/python3.8/site-packages/openvino/tools/mo/main.py", line 533, in main

ret_code = driver(argv)

File "/app/venvs/venv2022_1/lib/python3.8/site-packages/openvino/tools/mo/main.py", line 489, in driver

graph, ngraph_function = prepare_ir(argv)

File "/app/venvs/venv2022_1/lib/python3.8/site-packages/openvino/tools/mo/main.py", line 394, in prepare_ir

ngraph_function = moc_pipeline(argv, moc_front_end)

File "/app/venvs/venv2022_1/lib/python3.8/site-packages/openvino/tools/mo/moc_frontend/pipeline.py", line 147, in moc_pipeline

ngraph_function = moc_front_end.convert(input_model)

RuntimeError: invalid external data: ExternalDataInfo(data_full_path: /tmp/blobconverter/005f4f8f960342058b5275be32c79dd2/model/FP16/my_model.onnx.data, offset: 512, data_length: 12800, sha1_digest: 0)

[ ERROR ] ---------------- END OF BUG REPORT --------------

[ ERROR ] -------------------------------------------------