变量保存到文件import tensorflow as tf import numpy as np # Create two variables. x_data = np.float32([1,2,3,4,5,6,7,8,9,0]) weights = tf.Variable(tf.random_normal([10, 1], stddev=0.35), name="weights") biases = tf.Variable(tf.zeros([1]), name="biases") y = tf.matmul(x_data.reshape((1,-1)), weights)+biases # Add an op to initialize the variables. init_op = tf.global_variables_initializer() saver = ...
init=tf.global_variables_initializer() with tf.Session() as sesssess.run(init) 如果欠缺这一步会出现错误： FailedPreconditionError Traceback (most recent call last) ~/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)1355 try: -> 1356 return fn(*args)1357 except errors.OpError as e:~/anaconda3/lib/python3.6/site-p...
我遇到了一个问题,试图在传入Dataset map方法的函数中使用Tensorflow的feature_column映射.当尝试使用Dataset.map对数据集的分类字符串特征进行热编码作为输入管道的一部分时,会发生这种情况.我得到的错误信息是： tensorflow.python.framework.errors_impl.FailedPreconditionError：表已初始化. 以下代码是重新创建问题的基本示例：import numpy as np import tensorflow as tf from tensorflow.contrib.lookup import in...
编辑：尝试了几件事之后,我在代码中添加了以下内容：with tf.Session(graph=self.graph) as session:session.run(tf.initialize_all_variables())try:session.run(tf.assert_variables_initialized())except tf.errors.FailedPreconditionError:raise RuntimeError("Not all variables initialized!")现在,偶尔会失败,即tf.assert_variables_initialized()将引发FailedPreconditionError,即使在它之前,也执行了tf.initialize_all_v...