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Fix bugs in train.py #40

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Fix bugs in train.py #40

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38 changes: 33 additions & 5 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,34 @@ def get_fc_params(model):
for module_name, module in b[i].named_modules():
for name, param in module.named_parameters():
yield param

def get_ignored_params_mpii(model):
# Generator function that yields ignored params.
b = [model.module.conv1, model.module.bn1, model.module.fc_finetune]
for i in range(len(b)):
for module_name, module in b[i].named_modules():
if 'bn' in module_name:
module.eval()
for name, param in module.named_parameters():
yield param

def get_non_ignored_params_mpii(model):
# Generator function that yields params that will be optimized.
b = [model.module.layer1, model.module.layer2, model.module.layer3, model.module.layer4]
for i in range(len(b)):
for module_name, module in b[i].named_modules():
if 'bn' in module_name:
module.eval()
for name, param in module.named_parameters():
yield param

def get_fc_params_mpii(model):
# Generator function that yields fc layer params.
b = [model.module.fc_yaw_gaze, model.module.fc_pitch_gaze]
for i in range(len(b)):
for module_name, module in b[i].named_modules():
for name, param in module.named_parameters():
yield param

def load_filtered_state_dict(model, snapshot):
# By user apaszke from discuss.pytorch.org
Expand Down Expand Up @@ -272,7 +300,7 @@ def getArch_weights(arch, bins):
model = nn.DataParallel(model)
model.to(gpu)
print('Loading data.')
dataset=Mpiigaze(testlabelpathombined,args.gazeMpiimage_dir, transformations, True, fold)
dataset=Mpiigaze(testlabelpathombined,args.gazeMpiimage_dir, transformations, True, 180, fold)
train_loader_gaze = DataLoader(
dataset=dataset,
batch_size=int(batch_size),
Expand All @@ -296,9 +324,9 @@ def getArch_weights(arch, bins):

# Optimizer gaze
optimizer_gaze = torch.optim.Adam([
{'params': get_ignored_params(model, args.arch), 'lr': 0},
{'params': get_non_ignored_params(model, args.arch), 'lr': args.lr},
{'params': get_fc_params(model, args.arch), 'lr': args.lr}
{'params': get_ignored_params_mpii(model), 'lr': 0},
{'params': get_non_ignored_params_mpii(model), 'lr': args.lr},
{'params': get_fc_params_mpii(model), 'lr': args.lr}
], args.lr)


Expand Down Expand Up @@ -375,7 +403,7 @@ def getArch_weights(arch, bins):
if epoch % 1 == 0 and epoch < num_epochs:
print('Taking snapshot...',
torch.save(model.state_dict(),
output+'/fold' + str(fold) +'/'+
output+'fold' + str(fold) +'/'+
'_epoch_' + str(epoch+1) + '.pkl')
)

Expand Down