Tensor flow.contrib.slim例子之slim.getvariables()

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import tensorflow as tf
import tensorflow.contrib.slim as slim


# Model Variables
weights = slim.model_variable('weights',
                              shape=[5, 5, 3 , 3],
                              initializer=tf.truncated_normal_initializer(stddev=0.1),
                              regularizer=slim.l2_regularizer(0.05))
model_variables = slim.get_model_variables()

 
# Regular variables
my_var = slim.variable('my_var',
                       shape=[20, 1],
                       initializer=tf.zeros_initializer())
regular_variables_and_model_variables = slim.get_variables()

print(weights.name)
print(my_var.name)

with tf.Session() as sess:
    init = tf.global_variables_initializer()
    sess.run(init)
    a=sess.run(model_variables)
    b=sess.run(regular_variables_and_model_variables)
    

print(b)

输出：

weights:0
my_var:0

[array([[[[-0.16223504, -0.12132157,  0.10163851],
         [ 0.08857495, -0.07425972,  0.03480111],
         [-0.01969922, -0.04821443, -0.05179226]],

        [[-0.00419623, -0.03276922,  0.03275175],
         [-0.025644  , -0.00346689,  0.11299219],
         [-0.07914045, -0.06330657, -0.06027368]],

        [[ 0.00671485, -0.03443812, -0.10506791],
         [ 0.0589137 , -0.01653036,  0.08432978],
         [ 0.06139712,  0.11145692, -0.00254891]],

        [[-0.03500391,  0.09125845,  0.07176967],
         [ 0.17051116, -0.04667612, -0.00772954],
         [ 0.05177089, -0.08427192, -0.08593903]],

        [[-0.06125113, -0.11570779,  0.05441874],
         [-0.13249822,  0.0278293 ,  0.01567566],
         [-0.12261826,  0.04078599, -0.01024829]]],

       [[[ 0.16522811,  0.03671779, -0.04059736],
         [ 0.03879705, -0.08208816, -0.19011341],
         [ 0.02503098,  0.06463507,  0.16909577]],

        [[ 0.0926263 , -0.02539631, -0.09377422],
         [ 0.12903316, -0.13303475,  0.07472865],
         [-0.01440961,  0.06500827,  0.08350212]],

        [[ 0.03451673, -0.06978918, -0.1250405 ],
         [-0.16495989, -0.10512201,  0.0095012 ],
         [ 0.02511693,  0.08020766,  0.14752094]],

        [[-0.05590098,  0.09556431,  0.09903727],
         [-0.0144945 , -0.05353352,  0.06713809],
         [ 0.00200485,  0.0611572 , -0.15032347]],

        [[-0.15349977, -0.09721393, -0.03079793],
         [-0.15261695, -0.04597082, -0.01434774],
         [ 0.0412796 , -0.03227698,  0.09402122]]],

       [[[ 0.13655595,  0.04866274, -0.02277255],
         [ 0.09591573,  0.04081535, -0.00743454],
         [-0.10405406, -0.01215897,  0.07217003]],

        [[ 0.16204494,  0.00646965, -0.1247283 ],
         [ 0.03792977, -0.0629625 ,  0.02341435],
         [ 0.01753754, -0.02816099, -0.02612311]],

        [[ 0.06214956, -0.07752737, -0.12687491],
         [-0.03588537, -0.02672707,  0.04545514],
         [ 0.10898466, -0.11097177, -0.00490333]],

        [[-0.10032804,  0.08317929, -0.17206025],
         [-0.02717291, -0.00503827, -0.13393812],
         [-0.0601451 ,  0.01827372,  0.17303394]],

        [[-0.0121774 , -0.0454082 , -0.03686107],
         [-0.07822569, -0.08697627, -0.02149115],
         [-0.00982824, -0.02452661, -0.11567926]]],

       [[[-0.11132729,  0.0020334 ,  0.00435622],
         [-0.04156205, -0.09458689,  0.14010975],
         [-0.0100046 , -0.05354413, -0.02195279]],

        [[-0.07163369,  0.01238955,  0.01008388],
         [ 0.03819063, -0.03718038,  0.07996228],
         [ 0.03692595, -0.08231624,  0.04104179]],

        [[-0.0037325 ,  0.08111983, -0.0533362 ],
         [ 0.09269632, -0.09082448, -0.11727528],
         [ 0.04807084, -0.11332928, -0.07088885]],

        [[-0.1190962 ,  0.01177804,  0.04152609],
         [ 0.09272311, -0.07375132, -0.09496   ],
         [ 0.04162823, -0.07212376, -0.04184552]],

        [[ 0.03388771,  0.16835983,  0.04832568],
         [ 0.04424911,  0.17199731,  0.10929054],
         [-0.13152617,  0.01925231,  0.10731445]]],

       [[[-0.04271707,  0.04924161, -0.05562565],
         [ 0.09799628,  0.02938068,  0.04023891],
         [-0.04082066,  0.03450542,  0.00169373]],

        [[ 0.04776294, -0.0516752 ,  0.08142476],
         [-0.10328829, -0.00172146,  0.00892421],
         [-0.0362827 ,  0.08838445,  0.1529492 ]],

        [[ 0.17458294,  0.10121899, -0.07531347],
         [ 0.05691049, -0.1580013 , -0.08725848],
         [ 0.17685421, -0.08303452, -0.0510377 ]],

        [[ 0.04932152,  0.07331303,  0.03761637],
         [-0.0706702 ,  0.04057423,  0.01305293],
         [ 0.07592862,  0.04834391,  0.01235934]],

        [[ 0.05375633, -0.15525563, -0.15755388],
         [ 0.01247952, -0.0186142 ,  0.08487248],
         [ 0.06962581,  0.04253736, -0.01634468]]]], dtype=float32), array([[ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.],
       [ 0.]], dtype=float32)]

slim是苗条的意思，slim.get_variables()把model_variable也得到了。