p3_saving_variables.ipynb

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    {
     "name": "stdout",
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     "text": [
      "Model saved in path: C:\\Users\\jaley\\git\\tmp_model.ckpt\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf;\n",
    "# Create some variables.\n",
    "v1 = tf.get_variable(\"v1\", shape=[3], initializer = tf.zeros_initializer)\n",
    "v2 = tf.get_variable(\"v2\", shape=[5], initializer = tf.zeros_initializer)\n",
    "\n",
    "inc_v1 = v1.assign(v1+1)\n",
    "dec_v2 = v2.assign(v2-1)\n",
    "\n",
    "# Add an op to initialize the variables.\n",
    "init_op = tf.global_variables_initializer()\n",
    "\n",
    "# Add ops to save and restore all the variables.\n",
    "saver = tf.train.Saver()\n",
    "\n",
    "# Later, launch the model, initialize the variables, do some work, and save the\n",
    "# variables to disk.\n",
    "with tf.Session() as sess:\n",
    "  sess.run(init_op)\n",
    "  # Do some work with the model.\n",
    "  inc_v1.op.run()\n",
    "  dec_v2.op.run()\n",
    "  # Save the variables to disk.\n",
    "  save_path = saver.save(sess, \"C:\\\\Users\\\\jaley\\\\git\\\\tmp_model.ckpt\")\n",
    "  print(\"Model saved in path: %s\" % save_path)\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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