tflearn toy ANN reload.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NotFoundError",
     "evalue": "Key FullyConnected_26/b/Adam not found in checkpoint\n\t [[Node: save_25/RestoreV2_218 = RestoreV2[dtypes=[DT_FLOAT], _device=\"/job:localhost/replica:0/task:0/cpu:0\"](_recv_save_25/Const_0, save_25/RestoreV2_218/tensor_names, save_25/RestoreV2_218/shape_and_slices)]]\n\nCaused by op 'save_25/RestoreV2_218', defined at:\n  File \"/usr/lib/python3.5/runpy.py\", line 184, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"/usr/lib/python3.5/runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/__main__.py\", line 3, in <module>\n    app.launch_new_instance()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/traitlets/config/application.py\", line 658, in launch_instance\n    app.start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelapp.py\", line 474, in start\n    ioloop.IOLoop.instance().start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/ioloop.py\", line 177, in start\n    super(ZMQIOLoop, self).start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/ioloop.py\", line 887, in start\n    handler_func(fd_obj, events)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/stack_context.py\", line 275, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n    self._handle_recv()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n    callback(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/stack_context.py\", line 275, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 276, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 228, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 390, in execute_request\n    user_expressions, allow_stdin)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/zmqshell.py\", line 501, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2717, in run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2821, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2881, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-9-65cd72d4882f>\", line 11, in <module>\n    model = tflearn.DNN(net)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/models/dnn.py\", line 64, in __init__\n    best_val_accuracy=best_val_accuracy)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/helpers/trainer.py\", line 145, in __init__\n    keep_checkpoint_every_n_hours=keep_checkpoint_every_n_hours)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 1040, in __init__\n    self.build()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 1070, in build\n    restore_sequentially=self._restore_sequentially)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 675, in build\n    restore_sequentially, reshape)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 402, in _AddRestoreOps\n    tensors = self.restore_op(filename_tensor, saveable, preferred_shard)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 242, in restore_op\n    [spec.tensor.dtype])[0])\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py\", line 668, in restore_v2\n    dtypes=dtypes, name=name)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py\", line 763, in apply_op\n    op_def=op_def)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/ops.py\", line 2327, in create_op\n    original_op=self._default_original_op, op_def=op_def)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/ops.py\", line 1226, in __init__\n    self._traceback = _extract_stack()\n\nNotFoundError (see above for traceback): Key FullyConnected_26/b/Adam not found in checkpoint\n\t [[Node: save_25/RestoreV2_218 = RestoreV2[dtypes=[DT_FLOAT], _device=\"/job:localhost/replica:0/task:0/cpu:0\"](_recv_save_25/Const_0, save_25/RestoreV2_218/tensor_names, save_25/RestoreV2_218/shape_and_slices)]]\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m-------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNotFoundError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m   1021\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1022\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1023\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m   1003\u001b[0m                                  \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1004\u001b[0;31m                                  status, run_metadata)\n\u001b[0m\u001b[1;32m   1005\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.5/contextlib.py\u001b[0m in \u001b[0;36m__exit__\u001b[0;34m(self, type, value, traceback)\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py\u001b[0m in \u001b[0;36mraise_exception_on_not_ok_status\u001b[0;34m()\u001b[0m\n\u001b[1;32m    465\u001b[0m           \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpywrap_tensorflow\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_Message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 466\u001b[0;31m           pywrap_tensorflow.TF_GetCode(status))\n\u001b[0m\u001b[1;32m    467\u001b[0m   \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNotFoundError\u001b[0m: Key FullyConnected_26/b/Adam not found in checkpoint\n\t [[Node: save_25/RestoreV2_218 = RestoreV2[dtypes=[DT_FLOAT], _device=\"/job:localhost/replica:0/task:0/cpu:0\"](_recv_save_25/Const_0, save_25/RestoreV2_218/tensor_names, save_25/RestoreV2_218/shape_and_slices)]]",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mNotFoundError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-65cd72d4882f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtflearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDNN\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnet\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# Load model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ANN.model'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/models/dnn.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(self, model_file, weights_only, **optargs)\u001b[0m\n\u001b[1;32m    276\u001b[0m                      \u001b[0mcreated\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mrestored\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    277\u001b[0m         \"\"\"\n\u001b[0;32m--> 278\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweights_only\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0moptargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    279\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    280\u001b[0m         self.predictor = Evaluator([self.net],\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/helpers/trainer.py\u001b[0m in \u001b[0;36mrestore\u001b[0;34m(self, model_file, trainable_variable_only, variable_name_map, scope_for_restore, create_new_session, verbose)\u001b[0m\n\u001b[1;32m    447\u001b[0m             \u001b[0mrestorer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mtrainable_variable_only\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 449\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestorer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    450\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    451\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestorer_trainvars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\u001b[0m in \u001b[0;36mrestore\u001b[0;34m(self, sess, save_path)\u001b[0m\n\u001b[1;32m   1426\u001b[0m       \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1427\u001b[0m     sess.run(self.saver_def.restore_op_name,\n\u001b[0;32m-> 1428\u001b[0;31m              {self.saver_def.filename_tensor_name: save_path})\n\u001b[0m\u001b[1;32m   1429\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1430\u001b[0m   \u001b[0;34m@\u001b[0m\u001b[0mstaticmethod\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    765\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    766\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 767\u001b[0;31m                          run_metadata_ptr)\n\u001b[0m\u001b[1;32m    768\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    769\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    963\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    964\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m--> 965\u001b[0;31m                              feed_dict_string, options, run_metadata)\n\u001b[0m\u001b[1;32m    966\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    967\u001b[0m       \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m   1013\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1014\u001b[0m       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,\n\u001b[0;32m-> 1015\u001b[0;31m                            target_list, options, run_metadata)\n\u001b[0m\u001b[1;32m   1016\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1017\u001b[0m       return self._do_call(_prun_fn, self._session, handle, feed_dict,\n",
      "\u001b[0;32m/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m   1033\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1034\u001b[0m           \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1035\u001b[0;31m       \u001b[0;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1036\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1037\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNotFoundError\u001b[0m: Key FullyConnected_26/b/Adam not found in checkpoint\n\t [[Node: save_25/RestoreV2_218 = RestoreV2[dtypes=[DT_FLOAT], _device=\"/job:localhost/replica:0/task:0/cpu:0\"](_recv_save_25/Const_0, save_25/RestoreV2_218/tensor_names, save_25/RestoreV2_218/shape_and_slices)]]\n\nCaused by op 'save_25/RestoreV2_218', defined at:\n  File \"/usr/lib/python3.5/runpy.py\", line 184, in _run_module_as_main\n    \"__main__\", mod_spec)\n  File \"/usr/lib/python3.5/runpy.py\", line 85, in _run_code\n    exec(code, run_globals)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/__main__.py\", line 3, in <module>\n    app.launch_new_instance()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/traitlets/config/application.py\", line 658, in launch_instance\n    app.start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelapp.py\", line 474, in start\n    ioloop.IOLoop.instance().start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/ioloop.py\", line 177, in start\n    super(ZMQIOLoop, self).start()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/ioloop.py\", line 887, in start\n    handler_func(fd_obj, events)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/stack_context.py\", line 275, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 440, in _handle_events\n    self._handle_recv()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 472, in _handle_recv\n    self._run_callback(callback, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py\", line 414, in _run_callback\n    callback(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tornado/stack_context.py\", line 275, in null_wrapper\n    return fn(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 276, in dispatcher\n    return self.dispatch_shell(stream, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 228, in dispatch_shell\n    handler(stream, idents, msg)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/kernelbase.py\", line 390, in execute_request\n    user_expressions, allow_stdin)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/ipkernel.py\", line 196, in do_execute\n    res = shell.run_cell(code, store_history=store_history, silent=silent)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/ipykernel/zmqshell.py\", line 501, in run_cell\n    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2717, in run_cell\n    interactivity=interactivity, compiler=compiler, result=result)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2821, in run_ast_nodes\n    if self.run_code(code, result):\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/IPython/core/interactiveshell.py\", line 2881, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-9-65cd72d4882f>\", line 11, in <module>\n    model = tflearn.DNN(net)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/models/dnn.py\", line 64, in __init__\n    best_val_accuracy=best_val_accuracy)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tflearn/helpers/trainer.py\", line 145, in __init__\n    keep_checkpoint_every_n_hours=keep_checkpoint_every_n_hours)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 1040, in __init__\n    self.build()\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 1070, in build\n    restore_sequentially=self._restore_sequentially)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 675, in build\n    restore_sequentially, reshape)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 402, in _AddRestoreOps\n    tensors = self.restore_op(filename_tensor, saveable, preferred_shard)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/training/saver.py\", line 242, in restore_op\n    [spec.tensor.dtype])[0])\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py\", line 668, in restore_v2\n    dtypes=dtypes, name=name)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py\", line 763, in apply_op\n    op_def=op_def)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/ops.py\", line 2327, in create_op\n    original_op=self._default_original_op, op_def=op_def)\n  File \"/home/gk/.virtualenvs/BotStructures/lib/python3.5/site-packages/tensorflow/python/framework/ops.py\", line 1226, in __init__\n    self._traceback = _extract_stack()\n\nNotFoundError (see above for traceback): Key FullyConnected_26/b/Adam not found in checkpoint\n\t [[Node: save_25/RestoreV2_218 = RestoreV2[dtypes=[DT_FLOAT], _device=\"/job:localhost/replica:0/task:0/cpu:0\"](_recv_save_25/Const_0, save_25/RestoreV2_218/tensor_names, save_25/RestoreV2_218/shape_and_slices)]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import tflearn\n",
    "# Build neural network\n",
    "net = tflearn.input_data(shape=[None, 5])\n",
    "net = tflearn.fully_connected(net, 32)\n",
    "net = tflearn.fully_connected(net, 32)\n",
    "net = tflearn.fully_connected(net, 2, activation='softmax')\n",
    "net = tflearn.regression(net)\n",
    "\n",
    "# Define model\n",
    "model = tflearn.DNN(net)\n",
    "# Load model \n",
    "model.load('ANN.model')"
   ]
  }
 ],
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