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utils.py
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utils.py
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import torch
import copy
def save_checkpoint(epoch, model, optimizer, filename):
state = {'epoch': epoch,
'model': model,
'optimizer': optimizer}
torch.save(state, filename)
def get_labels(num_parts, num_angles):
res_labels = []
co = 0
for i in range(num_parts):
line = list()
for j in range(num_angles):
line.append(co)
co += 1
res_labels.append(line)
return res_labels
def save_state_dict(model_path, sd_filename):
checkpoint = torch.load(model_path)
net = checkpoint['model']
sd = net.state_dict()
new_sd = copy.deepcopy(sd)
for key in sd.keys():
new_key = key.replace('network.', '')
if new_key[0] == '0':
new_key = 'conv1' + new_key[1:]
if new_key[0] == '1':
new_key = 'bn1' + new_key[1:]
if new_key[0] == '2':
new_key = 'relu' + new_key[1:]
if new_key[0] == '3':
new_key = 'maxpool' + new_key[1:]
if new_key[0] == '4':
new_key = 'layer1' + new_key[1:]
if new_key[0] == '5':
new_key = 'layer2' + new_key[1:]
if new_key[0] == '6':
new_key = 'layer3' + new_key[1:]
if new_key[0] == '7':
new_key = 'layer4' + new_key[1:]
new_sd[new_key] = new_sd.pop(key)
torch.save(new_sd, filename)