| device: cpu | |
| model: | |
| framework: pytorch | |
| name: bert | |
| quantization: | |
| approach: post_training_dynamic_quant | |
| tuning: | |
| accuracy_criterion: | |
| relative: 0.02 | |
| exit_policy: | |
| max_trials: 4 | |
| timeout: 0 | |
| random_seed: 9527 | |
| version: 1.0 | |
| device: cpu | |
| model: | |
| framework: pytorch | |
| name: bert | |
| quantization: | |
| approach: post_training_dynamic_quant | |
| tuning: | |
| accuracy_criterion: | |
| relative: 0.02 | |
| exit_policy: | |
| max_trials: 4 | |
| timeout: 0 | |
| random_seed: 9527 | |
| version: 1.0 | |