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modelscope-scepter/scepter/modules/model/backbone/image/resnet.py
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# -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
from scepter.modules.model.backbone.image.resnet_impl import (resnet18,
resnet34,
resnet50,
resnet101,
resnet152)
from scepter.modules.model.base_model import BaseModel
from scepter.modules.model.registry import BACKBONES
from scepter.modules.utils.config import dict_to_yaml
@BACKBONES.register_class('ResNet')
class ResNet(BaseModel):
para_dict = {
'DEPTH': {
'value': 18,
'description': 'the depth of network for resnet!'
},
'KERNEL_SIZE': {
'value':
7,
'description':
'first conv kernel size, 7 or 3 (without stride and maxpooling)!'
},
'USE_RELU': {
'value': True,
'description': 'use relu or not!'
},
'USE_MAXPOOL': {
'value': True,
'description': 'use maxpool or not!'
},
'FIRST_CONV_STRIDE': {
'value': 1,
'description': 'first conv stride 1 or 2!'
},
'FIRST_MAX_POOL_STRIDE': {
'value': 1,
'description': 'first max pool stride 1 or 2!'
},
'PRETRAINED': {
'value': False,
'description': 'if load the official pretrained model or not.'
}
}
def __init__(self, cfg, logger=None):
super(ResNet, self).__init__(cfg, logger=logger)
depth = cfg.get('DEPTH', 18)
pretrained = cfg.get('PRETRAINED', False)
kernel_size = cfg.get('KERNEL_SIZE', 7)
use_relu = cfg.get('USE_RELU', True)
use_maxpool = cfg.get('USE_MAXPOOL', True)
first_conv_stride = cfg.get('FIRST_CONV_STRIDE', 1)
first_max_pool_stride = cfg.get('FIRST_MAX_POOL_STRIDE', 1)
depth_mapper = {
18: resnet18,
34: resnet34,
50: resnet50,
101: resnet101,
152: resnet152
}
cons_func = depth_mapper.get(depth)
if cons_func is None:
raise KeyError(f'Unsupported depth for resnet, {depth}')
self.model = cons_func(pretrained=pretrained,
kernel_size=kernel_size,
use_relu=use_relu,
use_maxpool=use_maxpool,
first_conv_stride=first_conv_stride,
first_max_pool_stride=first_max_pool_stride)
def forward(self, x):
return self.model.forward(x)
@staticmethod
def get_config_template():
'''
{ "ENV" :
{ "description" : "",
"A" : {
"value": 1.0,
"description": ""
}
}
}
:return:
'''
return dict_to_yaml('BACKBONES',
__class__.__name__,
ResNet.para_dict,
set_name=True)