| # | |
| # Copyright (c) 2021 Intel Corporation | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| version: 1.0 | |
| model: # mandatory. | |
| name: bert_prune | |
| framework: pytorch # mandatory. possible values are pytorch and pytorch_fx. | |
| device: cpu | |
| quantization: # optional. | |
| approach: post_training_dynamic_quant | |
| tuning: | |
| accuracy_criterion: | |
| relative: 0.03 # optional. default value is relative, other value is absolute. this example allows relative accuracy loss: 3%. | |
| exit_policy: | |
| timeout: 0 # optional. tuning timeout (seconds). default value is 0 which means early stop. combine with max_trials field to decide when to exit. | |
| max_trials: 30 | |
| random_seed: 9527 # optional. random seed for deterministic tuning. | |