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sjie another programmer home about posts wiki github © 2018. all rights reserved. 有监督学习tensorflow代码框架 30 jul 2018 import tensorflow as tf def inference(x): def loss(x, y): def inputs(): def train(total_loss): def evaluate(sess, x, y): with tf.session() as sess: tf.global_variables_initializer().run() x, y = inputs() total_loss = loss(x, y) train_op = train(total_loss) coord = tf.train.coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord) training_steps = 1000000 for step in range(training_steps): sess.run([train_op]) if step % 10000 == 0: print("loss: ", sess.run([total_loss])) evaluate(sess, x, y) coord.request_stop() coord.join(threads) sess.close() eg: import tensorflow as tf w = tf.variable(tf.zeros([2, 1]), name="weight") b = tf.variable(0., name="bias") def inference(x): return tf.matmul(x, w) + b def loss(x, y): y_predicted = inference(x) return tf.reduce_sum(tf.squared_difference(y, y_predicted)) def inputs(): weight_age = [[84, 46], [73, 20], [65, 52], [70, 30], [76, 57], [69, 25], [63, 28], [72, 36], [79, 57], [75, 44], [27, 24], [89, 31], [65, 52], [57, 23], [59, 60], [69, 48], [60, 34], [79, 51], [75, 50], [82, 34], [59, 46], [67, 23], [85, 37], [55, 40], [63, 30]] blood_fat_content = [354, 190, 405, 263, 451, 302, 288, 385, 402, 365, 209, 290, 346, 254, 395, 434, 220, 374, 308, 220, 311, 181, 274, 303, 244] return tf.to_float(weight_age), tf.to_float(blood_fat_content) def train(total_loss): learning_rate = 0.0000001 return tf.train.gradientdescentoptimizer(learning_rate).minimize(total_loss) def evaluate(sess, x, y): print(sess.run(inference([[80., 25.]]))) print(sess.run(inference([[65., 25.]]))) with tf.session() as sess: tf.global_variables_initializer().run() x, y = inputs() total_loss = loss(x, y) train_op = train(total_loss) coord = tf.train.coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord) training_steps = 1000000 for step in range(training_steps): sess.run([train_op]) if step % 10000 == 0: print("loss: ", sess.run([total_loss])) evaluate(sess, x, y) coord.request_stop() coord.join(threads) sess.close() ref: 《面向机器智能的tensorflow实践》 41% tensorflow 实战google深度学习框架勘误 14 jul 2018 《tensorflow：实战google深度学习框架》 7.3.2 输入文件队列 章节中多线程读取记录的代码如下： import tensorflow as tf files = tf.train.match_filenames_once("/tmp/data.tfrecords-*") filename_queue = tf.train.string_input_producer(files, shuffle=false) reader = tf.tfrecordreader() _, serialized_example = reader.read(filename_queue) features = tf.parse_single_example(serialized_example, features={ 'i': tf.fixedlenfeature([], tf.int64), 'j': tf.fixedlenfeature([], tf.int64), }) with tf.session() as sess: tf.global_variables_initializer().run() print([str(i.name) for i in tf.local_variables()]) print(sess.run(files)) coord = tf.train.coordinator() threads = tf.train.start_queue_runners(sess=sess, coord=coord) for i in range(6): print(sess.run([features['i'], features['j']])) coord.request_stop() coord.join(threads) 运行上述代码会报如下错误： tensorflow.python.framework.errors_impl.failedpreconditionerror: attempting to use uninitialized value matching_filenames [[node: _retval_matching_filenames_0_0 = _retval[t=dt_string, index=0, _device="/job:localhost/replica:0/task:0/device:cpu:0"](matching_filenames)]] 很诡异的代码中好像没有 matching_filenames 这个本地变量，但是如果看一下 match_filenames_once 这个函数的话就会发现问题所在了： @tf_export("train.match_filenames_once") def match_filenames_once(pattern, name=none): """save the list of files matching pattern, so it is only computed once. note: the order of the files returned can be non-deterministic. args: pattern: a file pattern (glob), or 1d tensor of file patterns. name: a name for the operations (optional). returns: a variable that is initialized to the list of files matching the pattern(s). """ with ops.name_scope(name, "matching_filenames", [pattern]) as name: return vs.variable( name=name, initial_value=io_ops.matching_files(pattern), trainable=false, validate_shape=false, collections=[ops.graphkeys.local_variables]) 所以解决方法很简单： ... with tf.session() as sess: tf.global_variables_initializer().run() tf.local_variables_initializer().run() ... homebrew 安装旧版本 python 13 jul 2018 https://github.com/homebrew/homebrew-core/commits/master/formula/python.rb 在上述仓库中找到需要的 python 版本对应的 commit-id ，把这个 commit-id 填充到下面的命令中即可 brew install https://raw.githubusercontent.com/homebrew/homebrew-core/[commit-id]/formula/python.rb vscode 设置 virtualenv 12 jul 2018 edit settings.json { "python.pythonpath": "/users/sjie/projects/tensorflow/bin/python3", "python.venvpath" : "/users/sjie/projects/tensorflow" } nanjin 09 jul 2018 older newer

URL analysis for lnmcc.net

http://www.lnmcc.net/posts/
http://www.lnmcc.net/tensorflow/2018/07/14/tensorflow-%e5%ae%9e%e6%88%98google%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e6%a1%86%e6%9e%b6%e5%8b%98%e8%af%af/
http://www.lnmcc.net/python/2018/07/13/brew-install-old-python/
http://www.lnmcc.net/tensorflow/2018/07/30/%e6%9c%89%e7%9b%91%e7%9d%a3%e5%ad%a6%e4%b9%a0tensorflow%e4%bb%a3%e7%a0%81%e6%a1%86%e6%9e%b6/
http://www.lnmcc.net/wiki/
http://www.lnmcc.net/python/2018/07/12/vscode%e8%ae%be%e7%bd%aevirtualenv/
http://www.lnmcc.net/page2
http://www.lnmcc.net/about/
http://www.lnmcc.net/life/2018/07/09/nanjin/

Whois Information

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Domain Name: LNMCC.NET
Registry Domain ID: 1722440972_DOMAIN_NET-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2018-07-28T05:39:11Z
Creation Date: 2012-05-24T07:49:52Z
Registry Expiry Date: 2019-05-24T07:49:52Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: 480-624-2505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: NS17.DOMAINCONTROL.COM
Name Server: NS18.DOMAINCONTROL.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2018-08-12T13:33:18Z <<<

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  REGISTRAR GoDaddy.com, LLC

SERVERS

  SERVER net.whois-servers.net

  ARGS domain =lnmcc.net

  PORT 43

  TYPE domain

DOMAIN

  NAME lnmcc.net

  CHANGED 2018-07-28

  CREATED 2012-05-24

STATUS
clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
clientRenewProhibited https://icann.org/epp#clientRenewProhibited
clientTransferProhibited https://icann.org/epp#clientTransferProhibited
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NSERVER

  NS17.DOMAINCONTROL.COM 216.69.185.9

  NS18.DOMAINCONTROL.COM 173.201.76.9

  REGISTERED yes

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