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output_chanels and loading #1

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23 changes: 12 additions & 11 deletions MTVulnerability/experiments/attacks/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,16 +39,17 @@ def load_model(args):

epoch = args.epoch

path_model = os.path.join(args.model_root, "savecheckpoint","checkpoint_{epoch}.pth.tar").format(
arch=args.arch,
dataset=args.dataset,
train="".join(train),
aux="".join(aux),
test="".join(test),
epoch=epoch
)

path_model= path_model.replace("\r","")
# path_model = os.path.join(args.model_root, "savecheckpoint","checkpoint_{epoch}.pth.tar").format(
# arch=args.arch,
# dataset=args.dataset,
# train="".join(train),
# aux="".join(aux),
# test="".join(test),
# epoch=epoch
# )

# path_model= path_model.replace("\r","")
path_model = args.model_root

if args.dataset == "taskonomy" and args.arch == "resnet18":
model = resnet18_taskonomy(pretrained=False, tasks=args.test_task_set)
Expand Down Expand Up @@ -96,7 +97,7 @@ def load_model(args):
for k in ks:
state[k[7:]] = state.pop(k)

model.load_state_dict(state) # , strict=False
model.load_state_dict(state, strict=False) # , strict=False
model = torch.nn.DataParallel(model)
if torch.cuda.is_available():
model.cuda()
Expand Down
4 changes: 2 additions & 2 deletions MTVulnerability/utils/xception_taskonomy_new.py
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Original file line number Diff line number Diff line change
Expand Up @@ -320,7 +320,7 @@ def __init__(self,size=1, tasks=None,num_classes=None, ozan=False,half_sized_out
if tasks is not None:

task_to_params = {
'autoencoder': {'output_channels': 3},
'autoencoder': {'output_chanels': 3},
'class_object' : {'output_chanels' : 0, 'num_cla sses':1000},
'class_places' : {'output_chanels' : 0, 'num_cla sses':63},
'depth_eucln' : {'output_chanels' : 1},
Expand All @@ -343,7 +343,7 @@ def __init__(self,size=1, tasks=None,num_classes=None, ozan=False,half_sized_out
self.final_conv_bn = nn.BatchNorm2d(512)
for task in tasks:

output_channels = task_to_params.get(task).get("output_channels", 0)
output_channels = task_to_params.get(task).get("output_chanels", 0)
nb_classes = task_to_params.get(task).get("num_classes", num_classes)
decoder = Decoder(output_channels, nb_classes,half_sized_output=half_sized_output)
self.task_to_decoder[task] = decoder
Expand Down