-
state_dict()：打印model中所有参数名。 -
named_parameters()：打印model中所有参数名及具体的值(包括通过继承得到的父类中的参数)。
例如：
for i in vgg16.state_dict():
print(i)
--->:
features.0.weight
features.0.bias
features.2.weight
features.2.bias
features.5.weight
features.5.bias
features.7.weight
features.7.bias
features.10.weight
features.10.bias
features.12.weight
features.12.bias
features.14.weight
features.14.bias
features.17.weight
features.17.bias
features.19.weight
features.19.bias
features.21.weight
features.21.bias
features.24.weight
features.24.bias
features.26.weight
features.26.bias
features.28.weight
features.28.bias
classifier.0.weight
classifier.0.bias
classifier.2.weight
classifier.2.bias
for i in vgg16.named_parameters():
print(i)
--->:
('features.0.weight', Parameter containing:
tensor([[[[ 0.0127, 0.0487, -0.0666],
[-0.0592, -0.0727, -0.0318],
[ 0.0827, -0.0082, 0.0370]],
[[ 0.0085, 0.0518, -0.0087],
[-0.0441, 0.0153, -0.0195],
[-0.0196, 0.0171, 0.0646]],
[[ 0.0397, 0.0833, -0.0057],
[-0.0172, -0.0321, 0.0299],
[-0.0123, -0.0519, 0.0072]]],
[[[-0.0123, -0.0609, 0.0419],
[ 0.0354, -0.0212, 0.0122],
[ 0.1548, 0.0201, 0.0246]],
[[ 0.0438, -0.0392, 0.0622],
[-0.0725, -0.0245, -0.0494],
[-0.0317, -0.0456, -0.0172]],
[[-0.0294, -0.0741, -0.1305],
[-0.0059, 0.0049, 0.0335],
[ 0.0149, -0.1573, -0.0210]]],
[[[ 0.1935, 0.0101, 0.0346],
[-0.0562, 0.0544, -0.0360],
[ 0.0240, 0.0016, 0.0440]],
[[-0.0224, -0.0113, -0.0398],
[ 0.0704, -0.0365, 0.0653],
[-0.0386, 0.0000, -0.0737]],
[[-0.0986, -0.1198, 0.0811],
[-0.0682, -0.1098, -0.0657],
[-0.0464, -0.0666, 0.0243]]],
...,
[[[ 0.0326, 0.0028, 0.1384],
[ 0.0115, 0.0783, -0.0807],
[ 0.0495, 0.0720, 0.0003]],
[[-0.0928, 0.0867, -0.0458],
[-0.0947, -0.1125, 0.0175],
[-0.0481, -0.0281, 0.0382]],
[[ 0.0915, -0.0230, 0.0183],
[-0.0087, 0.0531, 0.0239],
[ 0.0055, -0.0206, -0.0359]]],
[[[-0.0474, -0.1023, -0.0838],
[-0.0141, 0.0862, 0.0237],
[-0.0291, 0.0596, 0.1063]],
[[ 0.0717, 0.0451, 0.0128],
[-0.0125, 0.0393, -0.0334],
[-0.0251, 0.0019, 0.0190]],
[[ 0.0889, -0.0214, -0.0017],
[-0.1193, 0.0661, -0.0899],
[ 0.1141, 0.0078, -0.1057]]],
[[[ 0.0543, 0.0077, 0.0896],
[ 0.0599, -0.0046, -0.1301],
[ 0.0571, 0.0428, 0.0043]],
[[ 0.0225, -0.0695, 0.0255],
[ 0.0152, -0.0052, 0.0053],
[ 0.0403, -0.0195, -0.1257]],
[[-0.0477, 0.0524, 0.0556],
[-0.0164, 0.0376, -0.0557],
[-0.0701, 0.0206, -0.0171]]]], device='cuda:0', requires_grad=True))
('features.0.bias', Parameter containing:
tensor([-0.0094, 0.0380, 0.0197, -0.0335, 0.0608, 0.0188, 0.0016, -0.0594,
0.0013, 0.0113, -0.0049, -0.0264, 0.0162, -0.0051, -0.0509, 0.0386,
-0.0312, 0.0331, -0.0095, -0.0071, -0.0047, -0.0243, 0.0334, 0.0168,
0.0079, -0.0006, 0.0290, -0.0035, -0.0096, 0.0210, 0.0242, -0.0074,
0.0257, -0.0024, -0.0203, 0.0212, -0.0031, 0.0023, -0.0011, 0.0172,
-0.0118, -0.0020, 0.0098, -0.0351, -0.0042, -0.0016, 0.0154, -0.0218,
0.0051, 0.0058, 0.0003, 0.0106, -0.0525, 0.0591, 0.0082, -0.0209,
0.0151, 0.0025, 0.0030, 0.0288, 0.0479, 0.0343, -0.0237, -0.0011],
device='cuda:0', requires_grad=True))
...
