Model Optimizer arguments: | |
Common parameters: | |
- Path to the Input Model: /data1/vchua/tld-poc/repo/bert-base-squadv1/bert-base-squadv1.onnx | |
- Path for generated IR: /data1/vchua/tld-poc/repo/bert-base-squadv1/ir | |
- IR output name: bert-base-squadv1 | |
- 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 | |
- Mean values: Not specified | |
- Scale values: Not specified | |
- Scale factor: Not specified | |
- Precision of IR: FP32 | |
- Enable fusing: True | |
- Enable grouped convolutions fusing: True | |
- Move mean values to preprocess section: None | |
- Reverse input channels: False | |
ONNX specific parameters: | |
- Inference Engine found in: /opt/intel/openvino/python/python3.6/openvino | |
Inference Engine version: 2021.4.2-3974-e2a469a3450-releases/2021/4 | |
Model Optimizer version: 2021.4.2-3974-e2a469a3450-releases/2021/4 | |
[ WARNING ] Convert data type of Parameter "input.1" to int32 | |
[ WARNING ] Convert data type of Parameter "attention_mask" to int32 | |
[ WARNING ] Convert data type of Parameter "input.2" to int32 | |
[ SUCCESS ] Generated IR version 10 model. | |
[ SUCCESS ] XML file: /data1/vchua/tld-poc/repo/bert-base-squadv1/ir/bert-base-squadv1.xml | |
[ SUCCESS ] BIN file: /data1/vchua/tld-poc/repo/bert-base-squadv1/ir/bert-base-squadv1.bin | |
[ SUCCESS ] Total execution time: 52.58 seconds. | |
[ SUCCESS ] Memory consumed: 1388 MB. | |