---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2897 try:
-> 2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'throughput'
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
<ipython-input-23-bdcb7714c30e> in <module>
2 #Submit job to the queue
3 job_id_gpu = get_ipython().getoutput('qsub benchmark_app_job.sh -l nodes=1:idc022 -F "results/gpu GPU async" ')
----> 4 benchmarks["GPU"] = wait_for_job_to_finish(job_id_gpu)
<ipython-input-10-cf79f2651227> in wait_for_job_to_finish(job_id)
24 print(df)
25
---> 26 throughput = float(df.loc["throughput"][0])
27 device = df.loc["target device"][0]
28 load_time = float(df.loc["load network time (ms)"][0])
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/indexing.py in __getitem__(self, key)
877
878 maybe_callable = com.apply_if_callable(key, self.obj)
--> 879 return self._getitem_axis(maybe_callable, axis=axis)
880
881 def _is_scalar_access(self, key: Tuple):
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/indexing.py in _getitem_axis(self, key, axis)
1108 # fall thru to straight lookup
1109 self._validate_key(key, axis)
-> 1110 return self._get_label(key, axis=axis)
1111
1112 def _get_slice_axis(self, slice_obj: slice, axis: int):
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/indexing.py in _get_label(self, label, axis)
1057 def _get_label(self, label, axis: int):
1058 # GH#5667 this will fail if the label is not present in the axis.
-> 1059 return self.obj.xs(label, axis=axis)
1060
1061 def _handle_lowerdim_multi_index_axis0(self, tup: Tuple):
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/generic.py in xs(self, key, axis, level, drop_level)
3491 loc, new_index = self.index.get_loc_level(key, drop_level=drop_level)
3492 else:
-> 3493 loc = self.index.get_loc(key)
3494
3495 if isinstance(loc, np.ndarray):
/usr/local/lib/python3.6/dist-packages/pandas-1.1.5-py3.6-linux-x86_64.egg/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2898 return self._engine.get_loc(casted_key)
2899 except KeyError as err:
-> 2900 raise KeyError(key) from err
2901
2902 if tolerance is not None:
KeyError: 'throughput'
