# -*- coding: utf-8 -*- import torch import torch.nn as nn import torch.nn.functional as F from layers import unetConv2 from init_weights import init_weights ''' UNet 3+ ''' class UNet_3Plus(nn.Module): def __init__(self, args): super(UNet_3Plus, self).__init__() self...
with torch.no_grad(): assert isinstance(input_image, torch.Tensor) self.network = self.network.to(self.device) self.network.eval() empty_cache(self.device) empty_cache(self.device) # Autocast can be annoying # If the device_type is 'cpu' then it's slow as heck on some CPUs (no ...
import torch import torch.backends.cudnn as cudnn import torch.nn.functional as F import torch.nn as nn from utils import * from myloss import DiceLoss from eval import eval_net from unet import UNet from torch.autograd import Variable from torch import optim from optparse import OptionParse...
1 + import torch.nn as nn 2 + 3 + 4 + def build_act_layer(act_layer): 5 + if act_layer == 'ReLU': 6 + return nn.ReLU(inplace=True) 7 + elif act_layer == 'SiLU': 8 + return nn.SiLU(inplace=True) 9 + elif act_layer == 'GELU': 10 + return nn.GELU...
if pretrained: checkpoint = 'https://github.com/milesial/Pytorch-UNet/releases/download/v1.0/unet_carvana_scale1_epoch5.pth' net.load_state_dict(torch.hub.load_state_dict_from_url(checkpoint, progress=True)) return net 0 comments on commit 4ce26d9 Please sign in to comment. Footer...
File "/usr/local/lib/python3.9/site-packages/torch/_functorch/aot_autograd.py", line 1898, in runtime_wrapper all_outs = call_func_with_args( File "/usr/local/lib/python3.9/site-packages/torch/_functorch/aot_autograd.py", line 1247, in call_func_with_args out = normalize_as_list(...
File "/home/hfcui/.local/lib/python3.6/site-packages/torch/_utils.py", line 385, in reraise raise self.exc_type(msg) RuntimeError: Caught RuntimeError in DataLoader worker process 0. Original Traceback (most recent call last):
import torch.nn as nn def build_act_layer(act_layer): if act_layer == 'ReLU': return nn.ReLU(inplace=True) elif act_layer == 'SiLU': return nn.SiLU(inplace=True) elif act_layer == 'GELU': return nn.GELU() raise NotImplementedError(f'build_act_layer does not support {act_layer...
6 + import torch.nn.functional as F 7 + from torchvision.models import vgg16, vgg16_bn 8 + from torchvision.models import resnet50 9 + 10 + from config import Config 11 + from dataset import class_labels_TR_sorted 12 + from models.backbones.build_backbone import build_backbone...
25 27 save_model = torch.load(config.weights[model_name]) 26 28 model_dict = model.state_dict() 27 - state_dict = {k: v for k, v in save_model.items() if k in model_dict.keys()} 29 + state_dict = {k: v if v.size() == model_dict[k].size() else model_dict[...