tf.variables_initializer( var_list, name='init')返回初始化变量列表的Op。
tf.global_variables_initializer tf.initialize_local_variables ——> tf.local_variables_initializer tf.initialize_variables ——> tf.variables_initializer
tf.global_variables_initializer() with tf.Session() as sess: sess.run(init) 初始化指定变量: #初始化变量a和b init_ab = tf.variables_initializer
my_metric/count:0' shape=() dtype=float32_ref> 接下了我们可以创建一个初始化操作,以可以初始化或者重置两个变量: running_vars_initializer = tf.variables_initializer...my_metric") # Define initializer to initialize/reset running variables running_vars_initializer = tf.variables_initializer
tf.trainable_variables tf.moving_average_variables tf.global_variables_initializer tf.local_variables_initializer tf.variables_initializer
restorer_fc = tf.train.Saver({name_variable_to_restore: fc7_conv }) #定义恢复变量的对象 sess = tf.Session() sess.run(tf.variables_initializer
如果只想初始化一部分Variables,我们可以将variable变量送到tf.variables_initializer()来实现: with tf.Session() as sess: #...只初始化a,b sess.run(tf.variables_initializer([a, b])) 我们也可以将各个Variable的初始化工作分离,每个变量使用tf.Variable.initializer
'Adam' in v.name] init_var = [v for v in all_var if 'vgg_16' not in v.name] init = tf.variables_initializer
直接调用global_variables_initializer会初始化所有的Variable,如果仅想初始化部分Variable可以调用tf.variables_initializer。
tf.global_variables_initializer() with tf.Session() as sess: sess.run(init) #初始化变量的子集: init_subset=tf.variables_initializer
sess.run(tf.global_variables_initializer()) 2.只初始化一个变量子集 with tf.Session() as sess: sess.run(tf.variables_initializer
max_boxes, dtype='int32') # tensor to be used in tf.image.non_max_suppression() K.get_session().run(tf.variables_initializer
uninitialized_var = [e for e in tf.global_variables() if e not in tf.trainable_variables()] init_vars_uninit_op = tf.variables_initializer
w.initializer) 但是,在实践中,我们使用 TensorFlow 提供的便利函数来初始化所有变量: tfs.run(tf.global_variables_initializer()) 您还可以使用tf.variables_initializer
定义要初始化但未恢复的最后一个层的变量: # fc8 layer fc8_variables = tf.contrib.framework.get_variables('vgg_16/fc8') fc8_init = tf.variables_initializer
领取专属 10元无门槛券
手把手带您无忧上云