框架tensorflow3
tensorflow3
tensorflow 可视化好帮手;
tf.train.SummaryWriter报错,改为tf.summary.FileWriter
软件包安装yum install sqlite-devel
[root@shenzhen tensorflow]# python3 tensor6.py 2018-08-24 21:14:52.513641: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA [root@shenzhen tensorflow]# ls events.out.tfevents.1535116493.shenzhen.com tensor2.py tensor4.py tensor6.py tensor1.py tensor3.py tensor5.py [root@shenzhen tensorflow]# cat tensor6.py #!/usr/local/bin/python3 #coding:utf-8 import tensorflow as tf def add_layer(inputs,in_size, out_size, activation_function=None): #add one more layer and return the output of this layer with tf.name_scope('layer'): with tf.name_scope('weights'): Weights = tf.Variable(tf.random_normal([in_size, out_size]),\ name='W') with tf.name_scope('biases'): biases = tf.Variable(tf.zeros([1,out_size]) + 0.1,name='b') with tf.name_scope('Wx_plus_b'): Wx_plus_b = tf.add(tf.matmul(inputs, Weights),biases) if activation_function is None: outputs = Wx_plus_b else: outputs = activation_function(Wx_plus_b,) return outputs #define placeholder for inputs to network with tf.name_scope('inputs'): xs = tf.placeholder(tf.float32,[None,1],name='x_input') ys = tf.placeholder(tf.float32,[None,1],name='y_input') #add hidden layer l1 = add_layer(xs,1,10,activation_function=tf.nn.relu) #add output layer prediction = add_layer(l1,10,1,activation_function=None) #the error between prediction and real data with tf.name_scope('loss'): loss = tf.reduce_mean(tf.reduce_sum(tf.square(ys - prediction),\ reduction_indices=[1])) with tf.name_scope('train'): train_step = tf.train.GradientDescentOptimizer(0.1).minimize(loss) init = tf.global_variables_initializer() sess = tf.Session() writer = tf.summary.FileWriter('.',sess.graph) #important step sess.run(init)
#tensorboard --logdir='/logs/'
访问浏览器:、、、、
1报错位置:.tf.scalar_summary('batch_loss', loss)AttributeError: 'module' object has no attribute 'scalar_summary'修改为:tf.summary.scalar('batch_loss', loss)原因:新版本做了调整
2.AttributeError: 'module' object has no attribute 'histogram_summary'修改为:tf.summary.histogram
3.tf.merge_all_summaries()改为:summary_op = tf.summaries.merge_all()
4.AttributeError: 'module' object has no attribute 'SummaryWriter':tf.train.SummaryWriter改为tf.summary.FileWriter
报错:
tf.scalar_summary(l.op.name + ' (raw)', l)
AttributeError: 'module' object has no attribute 'scalar_summary'
解决:
tf.scalar_summary('images', images)改为:tf.summary.scalar('images', images)
tf.image_summary('images', images)改为:tf.summary.image('images', images)
还有:
tf.train.SummaryWriter改为:tf.summary.FileWriter
tf.merge_all_summaries()改为:summary_op = tf.summary.merge_all
tf.histogram_summary(var.op.name, var)改为: tf.summary.histogram
concated = tf.concat(1, [indices, sparse_labels])改为:concated = tf.concat([indices, sparse_labels], 1)