tensorflow/

Author: plenari

tensorflow/.ipynb_checkpoints/board-checkpoint.ipynb

@@ -0,0 +1,48 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "board"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "merged_summary_op = tf.merge_all_summaries()#z在这个位置汇总\n",
+    "summary_writer = tf.train.SummaryWriter('/tmp/mnist_logs', sess.graph)#logdier,graph\n",
+    "total_step = 0\n",
+    "while training:\n",
+    "  total_step += 1\n",
+    "  session.run(training_op)\n",
+    "  if total_step % 100 == 0:\n",
+    "    summary_str = session.run(merged_summary_op)\n",
+    "    summary_writer.add_summary(summary_str, total_step)\n",
+    "    "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

tensorflow/.ipynb_checkpoints/tf-device-un-checkpoint.ipynb

@@ -0,0 +1,63 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[ 22.  28.]\n",
+      " [ 49.  64.]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 新建一个graph.\n",
+    "with tf.device('/gpu:0'):\n",
+    "  a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')\n",
+    "  b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')\n",
+    "c = tf.matmul(a, b)\n",
+    "# 新建session with log_device_placement并设置为True.\n",
+    "sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))\n",
+    "# 运行这个op.\n",
+    "print(sess.run(c))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}