Dubhe/model_measuring/kamal/slim/prunning/pruner.py

"""
 Copyright 2020 Tianshu AI Platform. All Rights Reserved.

 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.
 =============================================================
"""

from copy import deepcopy
import os
import torch

class Pruner(object):
    def __init__(self, strategy):
        self.strategy = strategy
 
    def prune(self, model, rate=0.1, example_inputs=None):
        ori_num_params = sum( [ torch.numel(p) for p in model.parameters() ] )
        model = deepcopy(model).cpu()
        model = self._prune( model, rate=rate, example_inputs=example_inputs )
        new_num_params = sum( [ torch.numel(p) for p in model.parameters() ] )
        print( "%d=>%d, %.2f%% params were pruned"%( ori_num_params, new_num_params, 100*(ori_num_params-new_num_params)/ori_num_params ) )
        return model
    
    def _prune(self, model, **kargs):
        return self.strategy( model, **kargs)