File size: 1,720 Bytes
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Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /data1/vchua/tld-poc/repo/bert-base-squadv1-pruneofa-90pc-bt-qat-lt/bert-base-squadv1-pruneofa-90pc-bt-qat-lt.onnx
- Path for generated IR: /data1/vchua/tld-poc/repo/bert-base-squadv1-pruneofa-90pc-bt-qat-lt/ir
- IR output name: bert-base-squadv1-pruneofa-90pc-bt-qat-lt
- 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_ids" to int32
[ WARNING ] Convert data type of Parameter "attention_mask.1" to int32
[ WARNING ] Convert data type of Parameter "input.1" to int32
[ SUCCESS ] Generated IR version 10 model.
[ SUCCESS ] XML file: /data1/vchua/tld-poc/repo/bert-base-squadv1-pruneofa-90pc-bt-qat-lt/ir/bert-base-squadv1-pruneofa-90pc-bt-qat-lt.xml
[ SUCCESS ] BIN file: /data1/vchua/tld-poc/repo/bert-base-squadv1-pruneofa-90pc-bt-qat-lt/ir/bert-base-squadv1-pruneofa-90pc-bt-qat-lt.bin
[ SUCCESS ] Total execution time: 98.21 seconds.
[ SUCCESS ] Memory consumed: 2750 MB.
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