d_traineval.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1> 2d. Distributed training and monitoring </h1>\n",
    "\n",
    "In this notebook, we refactor to call ```train_and_evaluate``` instead of hand-coding our ML pipeline. This allows us to carry out evaluation as part of our training loop instead of as a separate step. It also adds in failure-handling that is necessary for distributed training capabilities.\n",
    "\n",
    "We also use TensorBoard to monitor the training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/envs/py3env/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.8.0\n"
     ]
    }
   ],
   "source": [
    "import datalab.bigquery as bq\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import shutil\n",
    "from google.datalab.ml import TensorBoard\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Input </h2>\n",
    "\n",
    "Read data created in Lab1a, but this time make it more general, so that we are reading in batches.  Instead of using Pandas, we will use add a filename queue to the TensorFlow graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "CSV_COLUMNS = ['fare_amount', 'pickuplon','pickuplat','dropofflon','dropofflat','passengers', 'key']\n",
    "LABEL_COLUMN = 'fare_amount'\n",
    "DEFAULTS = [[0.0], [-74.0], [40.0], [-74.0], [40.7], [1.0], ['nokey']]\n",
    "\n",
    "def read_dataset(filename, mode, batch_size = 512):\n",
    "  def decode_csv(value_column):\n",
    "    columns = tf.decode_csv(value_column, record_defaults = DEFAULTS)\n",
    "    features = dict(zip(CSV_COLUMNS, columns))\n",
    "    label = features.pop(LABEL_COLUMN)\n",
    "    return features, label\n",
    "\n",
    "  # Create list of file names that match \"glob\" pattern (i.e. data_file_*.csv)\n",
    "  filenames_dataset = tf.data.Dataset.list_files(filename)\n",
    "  # Read lines from text files\n",
    "  textlines_dataset = filenames_dataset.flat_map(tf.data.TextLineDataset)\n",
    "  # Parse text lines as comma-separated values (CSV)\n",
    "  dataset = textlines_dataset.map(decode_csv)\n",
    "\n",
    "  # Note:\n",
    "  # use tf.data.Dataset.flat_map to apply one to many transformations (here: filename -> text lines)\n",
    "  # use tf.data.Dataset.map      to apply one to one  transformations (here: text line -> feature list)\n",
    "\n",
    "  if mode == tf.estimator.ModeKeys.TRAIN:\n",
    "      num_epochs = None # indefinitely\n",
    "      dataset = dataset.shuffle(buffer_size = 10 * batch_size)\n",
    "  else:\n",
    "      num_epochs = 1 # end-of-input after this\n",
    "\n",
    "  dataset = dataset.repeat(num_epochs).batch(batch_size)\n",
    "\n",
    "  return dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Create features out of input data </h2>\n",
    "\n",
    "For now, pass these through.  (same as previous lab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "INPUT_COLUMNS = [\n",
    "    tf.feature_column.numeric_column('pickuplon'),\n",
    "    tf.feature_column.numeric_column('pickuplat'),\n",
    "    tf.feature_column.numeric_column('dropofflat'),\n",
    "    tf.feature_column.numeric_column('dropofflon'),\n",
    "    tf.feature_column.numeric_column('passengers'),\n",
    "]\n",
    "\n",
    "def add_more_features(feats):\n",
    "  # Nothing to add (yet!)\n",
    "  return feats\n",
    "\n",
    "feature_cols = add_more_features(INPUT_COLUMNS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Serving input function </h2>\n",
    "Defines the expected shape of the JSON feed that the modelwill receive once deployed behind a REST API in production."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Create serving input function\n",
    "def serving_input_fn():\n",
    "  json_feature_placeholders  = {\n",
    "    'pickuplon' : tf.placeholder(tf.float32, [None]),\n",
    "    'pickuplat' : tf.placeholder(tf.float32, [None]),\n",
    "    'dropofflat' : tf.placeholder(tf.float32, [None]),\n",
    "    'dropofflon' : tf.placeholder(tf.float32, [None]),\n",
    "    'passengers' : tf.placeholder(tf.float32, [None])\n",
    "  }\n",
    "  \n",
    "  # You can transforma data here from the input format to the format expected by your model.\n",
    "  features = json_feature_placeholders  # no transformation needed\n",
    "  \n",
    "  #features = {\n",
    "  #  'pickuplon' : json_feature_placeholders['pickuplon'],\n",
    "  #  'pickuplat' : json_feature_placeholders['pickuplat'],\n",
    "  #  'dropofflat' : json_feature_placeholders['dropofflat'],\n",
    "  #  'dropofflon' : json_feature_placeholders['dropofflon'],\n",
    "  #  'passengers' : json_feature_placeholders['passengers']  \n",
    "  #}\n",
    "  \n",
    "  return tf.estimator.export.ServingInputReceiver(features, json_feature_placeholders)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> tf.estimator.train_and_evaluate </h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Create train and evaluate function using tf.estimator\n",
    "def train_and_evaluate(output_dir, num_train_steps):\n",
    "  \n",
    "  run_config = tf.estimator.RunConfig(model_dir=output_dir, save_summary_steps = 100, save_checkpoints_steps = 1000)\n",
    "  \n",
    "  estimator = tf.estimator.LinearRegressor(feature_cols, config = run_config)\n",
    "  \n",
    "  train_spec = tf.estimator.TrainSpec(input_fn = lambda : read_dataset('./taxi-train.csv', tf.estimator.ModeKeys.TRAIN),\n",
    "                                      max_steps = num_train_steps\n",
    "                                     )\n",
    "  \n",
    "  exporter_latest = tf.estimator.LatestExporter('exporter' , serving_input_receiver_fn = serving_input_fn)\n",
    "  \n",
    "  eval_spec = tf.estimator.EvalSpec(input_fn = lambda : read_dataset('./taxi-valid.csv', tf.estimator.ModeKeys.EVAL), \n",
    "                                    steps = None,\n",
    "                                    start_delay_secs = 1, # start evaluating after N seconds\n",
    "                                    throttle_secs = 10,   # evaluate every N seconds\n",
    "                                    exporters = exporter_latest\n",
    "                                   )\n",
    "  \n",
    "  tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2> Monitoring with TensorBoard </h2>\n",
    "<br/>\n",
    "Use \"refresh\" in Tensorboard during training to see progress."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>TensorBoard was started successfully with pid 3956. Click <a href=\"/_proxy/33539/\" target=\"_blank\">here</a> to access it.</p>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "3956"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OUTDIR = 'taxi_trained'\n",
    "TensorBoard().start(OUTDIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Run training</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using config: {'_train_distribute': None, '_master': '', '_evaluation_master': '', '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fb74dff0e80>, '_save_summary_steps': 100, '_session_config': None, '_num_worker_replicas': 1, '_service': None, '_save_checkpoints_secs': None, '_tf_random_seed': None, '_keep_checkpoint_every_n_hours': 10000, '_task_id': 0, '_keep_checkpoint_max': 5, '_task_type': 'worker', '_model_dir': 'taxi_trained', '_is_chief': True, '_save_checkpoints_steps': 1000, '_global_id_in_cluster': 0, '_num_ps_replicas': 0, '_log_step_count_steps': 100}\n",
      "INFO:tensorflow:Running training and evaluation locally (non-distributed).\n",
      "INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after 10 secs (eval_spec.throttle_secs) or training is finished.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 1 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 96357.984, step = 1\n",
      "INFO:tensorflow:global_step/sec: 38.2957\n",
      "INFO:tensorflow:loss = 45955.266, step = 101 (2.617 sec)\n",
      "INFO:tensorflow:global_step/sec: 34.781\n",
      "INFO:tensorflow:loss = 49124.78, step = 201 (2.878 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 289 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 46403.21.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:43:33\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-289\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:43:33\n",
      "INFO:tensorflow:Saving dict for global step 289: average_loss = 108.84633, global_step = 289, loss = 45307.285\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-289\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035813'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-289\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 290 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 51403.438, step = 290\n",
      "INFO:tensorflow:global_step/sec: 37.5481\n",
      "INFO:tensorflow:loss = 37292.83, step = 390 (2.668 sec)\n",
      "INFO:tensorflow:global_step/sec: 36.2424\n",
      "INFO:tensorflow:loss = 39500.69, step = 490 (2.763 sec)\n",
      "INFO:tensorflow:global_step/sec: 38.8646\n",
      "INFO:tensorflow:loss = 44035.992, step = 590 (2.569 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 613 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 46673.492.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:43:44\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-613\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:43:45\n",
      "INFO:tensorflow:Saving dict for global step 613: average_loss = 108.82507, global_step = 613, loss = 45298.438\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-613\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035825'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-613\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 614 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 43646.777, step = 614\n",
      "INFO:tensorflow:global_step/sec: 36.8141\n",
      "INFO:tensorflow:loss = 40698.25, step = 714 (2.721 sec)\n",
      "INFO:tensorflow:global_step/sec: 35.6738\n",
      "INFO:tensorflow:loss = 46426.25, step = 814 (2.807 sec)\n",
      "INFO:tensorflow:global_step/sec: 41.0676\n",
      "INFO:tensorflow:loss = 40135.887, step = 914 (2.431 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 937 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 31047.781.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:43:56\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-937\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:43:56\n",
      "INFO:tensorflow:Saving dict for global step 937: average_loss = 109.54939, global_step = 937, loss = 45599.934\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-937\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035836'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-937\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 938 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 42904.88, step = 938\n",
      "INFO:tensorflow:global_step/sec: 36.353\n",
      "INFO:tensorflow:loss = 55129.133, step = 1038 (2.755 sec)\n",
      "INFO:tensorflow:global_step/sec: 37.1587\n",
      "INFO:tensorflow:loss = 34969.17, step = 1138 (2.695 sec)\n",
      "INFO:tensorflow:global_step/sec: 38.9668\n",
      "INFO:tensorflow:loss = 26818.703, step = 1238 (2.564 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1271 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 38731.14.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:44:08\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1271\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:44:08\n",
      "INFO:tensorflow:Saving dict for global step 1271: average_loss = 109.10106, global_step = 1271, loss = 45413.316\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1271\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035848'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1271\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 1272 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 46210.47, step = 1272\n",
      "INFO:tensorflow:global_step/sec: 36.1779\n",
      "INFO:tensorflow:loss = 32022.982, step = 1372 (2.770 sec)\n",
      "INFO:tensorflow:global_step/sec: 35.6834\n",
      "INFO:tensorflow:loss = 55714.332, step = 1472 (2.803 sec)\n",
      "INFO:tensorflow:global_step/sec: 41.6416\n",
      "INFO:tensorflow:loss = 59196.29, step = 1572 (2.400 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1605 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 39153.9.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:44:19\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1605\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:44:19\n",
      "INFO:tensorflow:Saving dict for global step 1605: average_loss = 109.18831, global_step = 1605, loss = 45449.633\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1605\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035860'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1605\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 1606 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 27617.473, step = 1606\n",
      "INFO:tensorflow:global_step/sec: 37.4015\n",
      "INFO:tensorflow:loss = 42266.53, step = 1706 (2.679 sec)\n",
      "INFO:tensorflow:global_step/sec: 36.2247\n",
      "INFO:tensorflow:loss = 49555.215, step = 1806 (2.769 sec)\n",
      "INFO:tensorflow:global_step/sec: 40.1486\n",
      "INFO:tensorflow:loss = 49976.12, step = 1906 (2.481 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1941 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 46410.496.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:44:31\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1941\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:44:31\n",
      "INFO:tensorflow:Saving dict for global step 1941: average_loss = 108.87696, global_step = 1941, loss = 45320.035\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1941\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035871'/saved_model.pb\"\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-1941\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Saving checkpoints for 1942 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:loss = 39326.258, step = 1942\n",
      "INFO:tensorflow:Saving checkpoints for 2000 into taxi_trained/model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 51456.188.\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Starting evaluation at 2019-05-16-19:44:35\n",
      "INFO:tensorflow:Graph was finalized.\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-2000\n",
      "INFO:tensorflow:Running local_init_op.\n",
      "INFO:tensorflow:Done running local_init_op.\n",
      "INFO:tensorflow:Finished evaluation at 2019-05-16-19:44:35\n",
      "INFO:tensorflow:Saving dict for global step 2000: average_loss = 108.85899, global_step = 2000, loss = 45312.555\n",
      "INFO:tensorflow:Calling model_fn.\n",
      "INFO:tensorflow:Done calling model_fn.\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Regress: None\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Predict: ['predict']\n",
      "INFO:tensorflow:Signatures INCLUDED in export for Classify: None\n",
      "INFO:tensorflow:Signatures EXCLUDED from export because they cannot be be served via TensorFlow Serving APIs:\n",
      "INFO:tensorflow:'serving_default' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "INFO:tensorflow:'regression' : Regression input must be a single string Tensor; got {'pickuplon': <tf.Tensor 'Placeholder:0' shape=(?,) dtype=float32>, 'pickuplat': <tf.Tensor 'Placeholder_1:0' shape=(?,) dtype=float32>, 'dropofflon': <tf.Tensor 'Placeholder_3:0' shape=(?,) dtype=float32>, 'dropofflat': <tf.Tensor 'Placeholder_2:0' shape=(?,) dtype=float32>, 'passengers': <tf.Tensor 'Placeholder_4:0' shape=(?,) dtype=float32>}\n",
      "WARNING:tensorflow:Export includes no default signature!\n",
      "INFO:tensorflow:Restoring parameters from taxi_trained/model.ckpt-2000\n",
      "INFO:tensorflow:Assets added to graph.\n",
      "INFO:tensorflow:No assets to write.\n",
      "INFO:tensorflow:SavedModel written to: b\"taxi_trained/export/exporter/temp-b'1558035875'/saved_model.pb\"\n"
     ]
    }
   ],
   "source": [
    "# Run training    \n",
    "shutil.rmtree(OUTDIR, ignore_errors = True) # start fresh each time\n",
    "tf.summary.FileWriterCache.clear() # ensure filewriter cache is clear for TensorBoard events file\n",
    "train_and_evaluate(OUTDIR, num_train_steps = 2000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> You can now shut Tensorboard down </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>logdir</th>\n",
       "      <th>pid</th>\n",
       "      <th>port</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>taxi_trained</td>\n",
       "      <td>3862</td>\n",
       "      <td>40839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>taxi_trained</td>\n",
       "      <td>3956</td>\n",
       "      <td>33539</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         logdir   pid   port\n",
       "0  taxi_trained  3862  40839\n",
       "1  taxi_trained  3956  33539"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to list Tensorboard instances\n",
    "TensorBoard().list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stopped Tensorboard\n"
     ]
    }
   ],
   "source": [
    "# to stop TensorBoard fill the correct pid below\n",
    "TensorBoard().stop(33539)\n",
    "print(\"Stopped Tensorboard\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Challenge Exercise\n",
    "\n",
    "Modify your solution to the challenge exercise in c_dataset.ipynb appropriately."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright 2017 Google Inc. Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License"
   ]
  }
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