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| { | |
| "input_info": [ | |
| { | |
| "sample_size": [1, 384], | |
| "type": "long" | |
| }, | |
| { | |
| "sample_size": [1, 384], | |
| "type": "long" | |
| }, | |
| { | |
| "sample_size": [1, 384], | |
| "type": "long" | |
| } | |
| ], | |
| "compression": | |
| [ | |
| { | |
| "algorithm": "movement_sparsity", | |
| "params": { | |
| "schedule": "threshold_polynomial_decay", | |
| "power": 3, | |
| "init_importance_threshold": 0.0, | |
| "final_importance_threshold": 0.1, | |
| "warmup_start_epoch": 1, | |
| "warmup_end_epoch": 10, | |
| "steps_per_epoch": 5533, | |
| "importance_regularization_factor": 0.0030, | |
| "update_per_optimizer_step": true, | |
| }, | |
| "sparse_structure_by_scopes": [ | |
| ["block", [32, 32], "{re}.*BertAttention*"], | |
| ["per_dim", [0], "{re}.*BertIntermediate*"], | |
| ["per_dim", [1], "{re}.*BertOutput*"] | |
| ], | |
| "ignored_scopes": ["{re}.*NNCFEmbedding", "{re}.*qa_outputs*"] | |
| }, | |
| { | |
| "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 | |
| } | |
| } | |
| ] | |
| } |