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After changing the run the benchmark with GPU to idc022
-----------
print("Submitting a job to an edge compute node with an Intel Core CPU and an Intel GPU...")
#Submit job to the queue
job_id_gpu = !qsub benchmark_app_job.sh -l nodes=1:idc022 -F "results/gpu GPU async"
benchmarks["GPU"] = wait_for_job_to_finish(job_id_gpu)
----------
I faced that error, so it seems like it cannot find the GPU;
Submitting a job to an edge compute node with an Intel Core CPU and an Intel GPU... 213291.v-qsvr-1.devcloud-edge Job submitted to the queue. Waiting for it to complete ....................................................... Command line parameters -m /home/u85543/Reference-samples/iot-devcloud/op... -d GPU -niter 10 -api async --report_type detailed_counters --report_folder /home/u85543/Reference-samples/iot-devcloud/op... Execution results NaN error Failed to create plugin /opt/intel/openvino/de... Please, check your environment NaN [CLDNN ERROR]. clGetPlatformIDs error -1001 NaN
--------------------------------------------------------------------------- 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'
Seeking your support please
Thanks,
Mostafa
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I am currently investigating, I will let you know what I find out.
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I confirmed that there is an issues with the 022 node. It is being looked at/worked on right now. Please try a different node and let me know if that works for you.
Thanks
Chris
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yes, I tried 030, but it takes so infinite time in processing
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My apologies, I am not following your response. Are you saying it does process but takes a long time, or are you saying it does not process at all?
Thanks
Chris
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no it takes time in the processing without displaying results!
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Any update please
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Thanks for the additional information, this is what we needed. I have opened a bug on it. I will keep you updated.
Thanks
Chris
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Apologies for the delay on this, idc022 is fixed and should work for you now. Please give it a shot and let me know if you run into any issues.
Thanks
Chris
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Apologies for the delay, this issue should now be resolved. Please give it a shot and let me know if you run into any issues.
Thanks
Chris
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