Intel i5-4210U Matmul.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tensorflow MatMul on Intel i5-4210U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[name: \"/device:CPU:0\"\n",
      "device_type: \"CPU\"\n",
      "memory_limit: 268435456\n",
      "locality {\n",
      "}\n",
      "incarnation: 16911156579215077165\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.python.client import device_lib\n",
    "print(device_lib.list_local_devices())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " 8000 x 8000 matmul took: 16.16 sec, 63.36 G ops/sec\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"1\"\n",
    "import tensorflow as tf\n",
    "import time\n",
    "\n",
    "n = 8000\n",
    "dtype = tf.float32\n",
    "with tf.device(\"/cpu:0\"):\n",
    "    matrix1 = tf.Variable(tf.ones((n, n), dtype=dtype))\n",
    "    matrix2 = tf.Variable(tf.ones((n, n), dtype=dtype))\n",
    "    product = tf.matmul(matrix1, matrix2)\n",
    "\n",
    "\n",
    "config = tf.ConfigProto(graph_options=tf.GraphOptions(optimizer_options=tf.OptimizerOptions(opt_level=tf.OptimizerOptions.L0)))\n",
    "sess = tf.Session(config=config)\n",
    "\n",
    "sess.run(tf.global_variables_initializer())\n",
    "iters = 10\n",
    "\n",
    "sess.run(product.op)\n",
    "#file_writer = tf.summary.FileWriter('/path/to/logs', sess.graph)\n",
    "start = time.time()\n",
    "for i in range(iters):\n",
    "    sess.run(product.op)\n",
    "end = time.time()\n",
    "ops = n**3 + (n-1)*n**2 # n^2*(n-1) additions, n^3 multiplications\n",
    "elapsed = (end - start)\n",
    "rate = iters*ops/elapsed/10**9\n",
    "print('\\n %d x %d matmul took: %.2f sec, %.2f G ops/sec' % (n, n,\n",
    "                                                            elapsed/iters,\n",
    "                                                            rate,))"
   ]
  }
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