optimizer_rotate = optim.SGD(fc.parameters(), lr=opt.lr_init, momentum=0.9, weight_decay=0.0003)
scheduler_rotate = optim.lr_scheduler.MultiStepLR(optimizer_rotate, opt.lr_mul, gamma=opt.lr_gamma)
# ======================== 设置log路径 ======================
log = Log(opt)
# ======================== 训练及测试 =======================
for i_epoch in range(opt.train.max_epoch):
# -------------------- 训练 -------------------------
net.train()
fc.train()
optimizer.zero_grad()
scheduler.step()
optimizer_rotate.zero_grad()
scheduler_rotate.step()
log.init()
trainloader_len = len(trainloader)
for i_iter, data in enumerate(trainloader):
img, label, label_rotate = data
img, label, label_rotate = img.to(opt.device), label.to(opt.device), label_rotate.to(opt.device)
optimizer.zero_grad()
optimizer_rotate.zero_grad()
x, feat = net(img, label, is_train=True)
loss_info = criterion(x, label)
x_rotate = fc(feat)
loss_rotate = criterion_rotate(x_rotate, label_rotate)
loss = (loss_info[0] + loss_rotate).mean()
loss.backward()
optimizer.step()
optimizer_rotate.step()
import waitress # noqa: E402
from rich import pretty, traceback # noqa: E402
from rich.console import Console # noqa: E402
from rich.panel import Panel # noqa: E402
pretty.install()
traceback.install(show_locals=False)
from about import project, title, version # noqa: E402
from api import api # noqa: E402
from reader.arg import Arg_Reader # noqa: E402
from utils.log import Log # noqa: E402
db = Arg_Reader.read()
if db.version is not None:
print(db.version)
else:
ident = f'{project} - {title} v:{version}'
console = Console()
console.print(Panel.fit(ident))
Log.init(config=db.log_config)
api_instance = api(title=title, version=version)
Log.get('api').success(f'Accept requests at {db.host}:{db.port}')
waitress.serve(api_instance,
host=db.host,
port=db.port,
expose_tracebacks=False,
ident=ident,
_quiet=True)
