{"id":258,"date":"2018-07-20T11:34:30","date_gmt":"2018-07-20T11:34:30","guid":{"rendered":""},"modified":"2020-10-01T02:04:19","modified_gmt":"2020-09-30T18:04:19","slug":"%e6%90%ad%e5%bb%ba%e6%9c%80%e7%ae%80%e6%98%93%e7%9a%84tensorflow%e9%9b%86%e7%be%a4","status":"publish","type":"post","link":"http:\/\/weizn.net\/?p=258","title":{"rendered":"\u642d\u5efa\u6700\u7b80\u6613\u7684TensorFlow\u96c6\u7fa4"},"content":{"rendered":"

1\u3001\u88c5\u597d\u4e09\u53f0\u865a\u62df\u673atf1, tf2, tf3<\/span><\/p>\n

\uff08\u7565\uff09<\/span><\/p>\n

2\u3001\u5728tf1\u4e0a<\/span><\/p>\n

vim server.py<\/span><\/p>\n

import tensorflow as tf<\/span><\/p>\n

worker1 = “tf1:10000”<\/span>
\nworker2 = “tf2:10000”<\/span>
\nworker3 = “tf3:10000”<\/span><\/p>\n

worker_hosts = [worker1, worker2, worker3]<\/span>
\ncluster_spec = tf.train.ClusterSpec({ “worker”: worker_hosts})<\/span>
\nserver = tf.train.Server(cluster_spec, job_name=”worker”, task_index=0)<\/span>
\nserver.join()<\/span><\/p>\n

3\u3001\u5728tf2\u4e0a<\/span><\/p>\n

vim server.py<\/span><\/p>\n

import tensorflow as tf<\/span><\/p>\n

worker1 = “tf1:10000”<\/span>
\nworker2 = “tf2:10000”<\/span>
\nworker3 = “tf3:10000”<\/span><\/p>\n

worker_hosts = [worker1, worker2, worker3]<\/span>
\ncluster_spec = tf.train.ClusterSpec({ “worker”: worker_hosts})<\/span>
\nserver = tf.train.Server(cluster_spec, job_name=”worker”, task_index=1)<\/span>
\nserver.join()<\/span><\/p>\n

4\u3001\u5728tf3\u4e0a<\/span><\/p>\n

vim server.py<\/span><\/p>\n

import tensorflow as tf<\/span><\/p>\n

worker1 = “tf1:10000”<\/span>
\nworker2 = “tf2:10000”<\/span>
\nworker3 = “tf3:10000”<\/span><\/p>\n

worker_hosts = [worker1, worker2, worker3]<\/span>
\ncluster_spec = tf.train.ClusterSpec({ “worker”: worker_hosts})<\/span>
\nserver = tf.train.Server(cluster_spec, job_name=”worker”, task_index=2)<\/span>
\nserver.join()<\/span><\/p>\n

5\u3001\u5728\u4efb\u610f\u4e00\u53f0tfx\u4e3b\u673a\u4e0a<\/span><\/p>\n

vim client.py<\/span><\/p>\n

import tensorflow as tf<\/span>
\nimport numpy as np<\/span><\/p>\n

train_X = np.linspace(-1,1,1000000)<\/span>
\ntrain_Y = 2*train_X + np.random.randn(*train_X.shape)*0.33+10<\/span><\/p>\n

X = tf.placeholder(“float”)<\/span>
\nY = tf.placeholder(“float”)<\/span><\/p>\n

w = tf.Variable(0.0, name=”weight”)<\/span>
\nb = tf.Variable(0.0, name=”reminder”)<\/span><\/p>\n

init_op = tf.initialize_all_variables()<\/span>
\ncost_op = tf.square(Y – tf.mul(X,w) – b)<\/span>
\ntrain_op = tf.train.GradientDescentOptimizer(0.01).minimize(cost_op)<\/span><\/p>\n

with tf.Session(“grpc:\/\/tf1:10000”) as sess:<\/span>
\n\u00a0 with tf.device(“\/job:worker\/task:0”):<\/span>
\n\u00a0 \u00a0 sess.run(init_op)<\/span><\/p>\n

\u00a0 \u00a0 for i in range(10):<\/span>
\n\u00a0 \u00a0 \u00a0 for (x, y) in zip(train_X, train_Y):<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 sess.run(train_op, feed_dict={X:x, Y:y})<\/span><\/p>\n

\u00a0 \u00a0 print(sess.run(w))<\/span>
\n\u00a0 \u00a0 print(sess.run(b))<\/span><\/p>\n

6\u3001\u8fd0\u884c<\/span><\/p>\n

python client.py<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

1\u3001\u88c5\u597d\u4e09\u53f0\u865a\u62df\u673atf1, tf2, tf3<\/span><\/p>\n

\uff08\u7565\uff09<\/span><\/p>\n

2\u3001\u5728tf1\u4e0a<\/span><\/p>\n

vim server.py<\/span><\/p>\n

import tensorflow as tf<\/span><\/p>\n

worker1 = “tf1:10000”<\/span>
worker2 = “tf2:10000”<\/span>
worker3 = “tf3:10000”<\/span><\/p>\n

worker_hosts = [worker1, worker2, worker3]<\/span>
cluster_spec = tf.tra…<\/span><\/p>\n","protected":false},"author":1,"featured_media":565,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[334],"tags":[],"class_list":["post-258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\n\u642d\u5efa\u6700\u7b80\u6613\u7684TensorFlow\u96c6\u7fa4 - Wayne's Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/weizn.net\/?p=258\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u642d\u5efa\u6700\u7b80\u6613\u7684TensorFlow\u96c6\u7fa4 - Wayne's Blog\" \/>\n<meta property=\"og:description\" content=\"1\u3001\u88c5\u597d\u4e09\u53f0\u865a\u62df\u673atf1, tf2, tf3\uff08\u7565\uff092\u3001\u5728tf1\u4e0avim server.pyimport tensorflow as tfworker1 = "tf1:10000"worker2 = "tf2:10000"worker3 = "tf3:10000"worker_hosts = [worker1, worker2, worker3]cluster_spec = tf.tra...\" \/>\n<meta property=\"og:url\" content=\"http:\/\/weizn.net\/?p=258\" \/>\n<meta property=\"og:site_name\" content=\"Wayne's Blog\" \/>\n<meta property=\"article:published_time\" content=\"2018-07-20T11:34:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-09-30T18:04:19+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/weizn.net\/wp-content\/uploads\/2018\/07\/tensorflow-1024x569-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"569\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"zinan\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"http:\/\/weizn.net\/#website\",\"url\":\"http:\/\/weizn.net\/\",\"name\":\"Wayne's Blog\",\"description\":\"\",\"publisher\":{\"@id\":\"http:\/\/weizn.net\/#\/schema\/person\/e88bc12c590502d8b6249326f960b264\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\/\/weizn.net\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"ImageObject\",\"@id\":\"http:\/\/weizn.net\/?p=258#primaryimage\",\"inLanguage\":\"zh-Hans\",\"url\":\"http:\/\/weizn.net\/wp-content\/uploads\/2018\/07\/tensorflow-1024x569-1.jpg\",\"contentUrl\":\"http:\/\/weizn.net\/wp-content\/uploads\/2018\/07\/tensorflow-1024x569-1.jpg\",\"width\":1024,\"height\":569},{\"@type\":\"WebPage\",\"@id\":\"http:\/\/weizn.net\/?p=258#webpage\",\"url\":\"http:\/\/weizn.net\/?p=258\",\"name\":\"\\u642d\\u5efa\\u6700\\u7b80\\u6613\\u7684TensorFlow\\u96c6\\u7fa4 - 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