| { | |
| "input_info": [ | |
| { | |
| "sample_size": [1, 256], | |
| "type": "long" | |
| }, | |
| { | |
| "sample_size": [1, 256], | |
| "type": "long" | |
| }, | |
| { | |
| "sample_size": [1, 256], | |
| "type": "long" | |
| } | |
| ], | |
| "compression": [{ | |
| "algorithm": "quantization", | |
| "initializer": { | |
| "range": { | |
| "num_init_samples": 32, | |
| "type": "percentile", | |
| "params": | |
| { | |
| "min_percentile": 0.01, | |
| "max_percentile": 99.99 | |
| } | |
| }, | |
| "batchnorm_adaptation": { | |
| "num_bn_adaptation_samples": 200 | |
| } | |
| }, | |
| "activations": | |
| { | |
| "mode": "symmetric" | |
| }, | |
| "weights": | |
| { | |
| "mode": "symmetric", | |
| "signed": true, | |
| "per_channel": false | |
| } | |
| }, | |
| { | |
| "algorithm": "knowledge_distillation", | |
| "type": "softmax", | |
| "temperature": 3 | |
| } | |
| ] | |
| } | |