PaddleClas/ppcls/arch/__init__.py

66 lines
2.0 KiB
Python

#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#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.
import copy
import importlib
import paddle.nn as nn
from . import backbone
from .backbone import *
from ppcls.arch.loss_metrics.loss import *
from .utils import *
def build_model(config):
config = copy.deepcopy(config)
model_type = config.pop("name")
mod = importlib.import_module(__name__)
arch = getattr(mod, model_type)(**config)
return arch
class RecModel(nn.Layer):
def __init__(self, **config):
super().__init__()
backbone_config = config["Backbone"]
backbone_name = backbone_config.pop("name")
self.backbone = getattr(backbone_name)(**backbone_config)
if "backbone_stop_layer" in config:
backbone_stop_layer = config["backbone_stop_layer"]
self.backbone.stop_layer(backbone_stop_layer)
if "Neck" in config:
neck_config = config["Neck"]
neck_name = neck_config.pop("name")
self.neck = getattr(neck_name)(**neck_config)
else:
self.neck = None
if "Head" in config:
head_config = config["Head"]
head_name = head_config.pop("name")
self.head = getattr(head_name)(**head_config)
else:
self.head = None
def forward(self, x):
y = self.backbone(x)
if self.neck is not None:
y = self.neck(y)
if self.head is not None:
y = self.head(y)
return y