testing tensorflowGPU.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\importlib\\_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.__version__sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<tensorflow.python.client.session.Session object at 0x00000213925A6C88>\n"
     ]
    }
   ],
   "source": [
    "print(tf.__version__sess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.client.session.Session at 0x213925a6c88>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.__version__sess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.client.session.Session at 0x213925cb208>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "with tf.name_scope('hidden') as scope:\n",
    "  a = tf.constant(5, name='alpha')\n",
    "  W = tf.Variable(tf.random_uniform([1, 2], -1.0, 1.0), name='weights')\n",
    "  b = tf.Variable(tf.zeros([1]), name='biases')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "InvalidArgumentError",
     "evalue": "Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.\n\t [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=\"/device:GPU:0\"](a, b)]]\n\nCaused by op 'MatMul', defined at:\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\runpy.py\", line 193, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\__main__.py\", line 3, in <module>\n    app.launch_new_instance()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n    app.start()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 486, in start\n    self.io_loop.start()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n    self.asyncio_loop.run_forever()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\base_events.py\", line 421, in run_forever\n    self._run_once()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\base_events.py\", line 1425, in _run_once\n    handle._run()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\events.py\", line 127, in _run\n    self._callback(*self._args)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 122, in _handle_events\n    handler_func(fileobj, events)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 450, in _handle_events\n    self._handle_recv()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 480, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 432, in _run_callback\n    callback(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 283, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 233, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 399, in execute_request\n    user_expressions, allow_stdin)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 208, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 537, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2662, in run_cell\n    raw_cell, store_history, silent, shell_futures)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2785, in _run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2901, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2961, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-11-366263745427>\", line 4, in <module>\n    c = tf.matmul(a, b)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py\", line 2018, in matmul\n    a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\ops\\gen_math_ops.py\", line 4750, in mat_mul\n    name=name)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n    op_def=op_def)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 454, in new_func\n    return func(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3155, in create_op\n    op_def=op_def)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1717, in __init__\n    self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.\n\t [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=\"/device:GPU:0\"](a, b)]]\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mInvalidArgumentError\u001b[0m                      Traceback (most recent call last)",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m   1277\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1278\u001b[1;33m       \u001b[1;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1279\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[1;34m(feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[0;32m   1260\u001b[0m       \u001b[1;31m# Ensure any changes to the graph are reflected in the runtime.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1261\u001b[1;33m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1262\u001b[0m       return self._call_tf_sessionrun(\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_extend_graph\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1294\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session_run_lock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1295\u001b[1;33m       \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mExtendSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1296\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mInvalidArgumentError\u001b[0m: Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.\n\t [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=\"/device:GPU:0\"](a, b)]]",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mInvalidArgumentError\u001b[0m                      Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-11-366263745427>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mtf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m     \u001b[0mprint\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    875\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    876\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 877\u001b[1;33m                          run_metadata_ptr)\n\u001b[0m\u001b[0;32m    878\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    879\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1098\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1099\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[1;32m-> 1100\u001b[1;33m                              feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[0;32m   1101\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1102\u001b[0m       \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_run\u001b[1;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m   1270\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1271\u001b[0m       return self._do_call(_run_fn, feeds, fetches, targets, options,\n\u001b[1;32m-> 1272\u001b[1;33m                            run_metadata)\n\u001b[0m\u001b[0;32m   1273\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1274\u001b[0m       \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m   1289\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1290\u001b[0m           \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1291\u001b[1;33m       \u001b[1;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1292\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1293\u001b[0m   \u001b[1;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mInvalidArgumentError\u001b[0m: Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.\n\t [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=\"/device:GPU:0\"](a, b)]]\n\nCaused by op 'MatMul', defined at:\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\runpy.py\", line 193, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\__main__.py\", line 3, in <module>\n    app.launch_new_instance()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n    app.start()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 486, in start\n    self.io_loop.start()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n    self.asyncio_loop.run_forever()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\base_events.py\", line 421, in run_forever\n    self._run_once()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\base_events.py\", line 1425, in _run_once\n    handle._run()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\asyncio\\events.py\", line 127, in _run\n    self._callback(*self._args)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 122, in _handle_events\n    handler_func(fileobj, events)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 450, in _handle_events\n    self._handle_recv()\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 480, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\zmq\\eventloop\\zmqstream.py\", line 432, in _run_callback\n    callback(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 283, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 233, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 399, in execute_request\n    user_expressions, allow_stdin)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 208, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 537, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2662, in run_cell\n    raw_cell, store_history, silent, shell_futures)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2785, in _run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2901, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2961, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-11-366263745427>\", line 4, in <module>\n    c = tf.matmul(a, b)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py\", line 2018, in matmul\n    a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\ops\\gen_math_ops.py\", line 4750, in mat_mul\n    name=name)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n    op_def=op_def)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 454, in new_func\n    return func(*args, **kwargs)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3155, in create_op\n    op_def=op_def)\n  File \"C:\\Users\\delab\\Anaconda3\\envs\\tensorflow\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1717, in __init__\n    self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.\n\t [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=\"/device:GPU:0\"](a, b)]]\n"
     ]
    }
   ],
   "source": [
    "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",
    "\n",
    "with tf.Session() as sess:\n",
    "    print (sess.run(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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