| Model Optimizer arguments: | |
| Common parameters: | |
| - Path to the Input Model: /home/openvino/tile/hybrid-tile-aligned-int8-eval/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt-tilealigned.onnx | |
| - Path for generated IR: /home/openvino/tile/hybrid-tile-aligned-int8-eval/ir | |
| - IR output name: bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt-tilealigned | |
| - 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: /home/openvino/tile/hybrid-tile-aligned-int8-eval/ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt-tilealigned.xml | |
| [ SUCCESS ] BIN file: /home/openvino/tile/hybrid-tile-aligned-int8-eval/ir/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-qat-lt-tilealigned.bin | |
| [ SUCCESS ] Total execution time: 78.71 seconds. | |
| [ SUCCESS ] Memory consumed: 1920 MB. | |