Task 9609380

Name ParityModified-1638631084-28167-1-0_0
Workunit 7015822
Created 9 Dec 2021, 1:05:14 UTC
Sent 15 Dec 2021, 14:19:05 UTC
Report deadline 23 Dec 2021, 14:19:05 UTC
Received 16 Dec 2021, 5:03:21 UTC
Server state Over
Outcome Computation error
Client state Aborted by user
Exit status 203 (0x000000CB) EXIT_ABORTED_VIA_GUI
Computer ID 16815
Run time 19 min 22 sec
CPU time 19 min 19 sec
Validate state Invalid
Credit 0.00
Device peak FLOPS 17,972.20 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.93 GB
Peak swap size 3.52 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.16.20</core_client_version>
<![CDATA[
<message>
aborted by user</message>
<stderr_txt>
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3080 Ti)
[2021-12-15 14:32:13	                main:435]	:	INFO	:	Set logging level to 1
[2021-12-15 14:32:13	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-12-15 14:32:13	                main:444]	:	INFO	:	Resolving all filenames
[2021-12-15 14:32:13	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2021-12-15 14:32:13	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 0)
[2021-12-15 14:32:13	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2021-12-15 14:32:13	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2021-12-15 14:32:13	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-12-15 14:32:13	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2021-12-15 14:32:13	                main:474]	:	INFO	:	Configuration: 
[2021-12-15 14:32:13	                main:475]	:	INFO	:	    Model type: GRU
[2021-12-15 14:32:13	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-12-15 14:32:13	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-12-15 14:32:13	                main:478]	:	INFO	:	    Batch Size: 128
[2021-12-15 14:32:13	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-12-15 14:32:13	                main:480]	:	INFO	:	    Patience: 10
[2021-12-15 14:32:13	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-12-15 14:32:13	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-12-15 14:32:13	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-12-15 14:32:13	                main:484]	:	INFO	:	    # Threads: 1
[2021-12-15 14:32:13	                main:486]	:	INFO	:	Preparing Dataset
[2021-12-15 14:32:13	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2021-12-15 14:32:13	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3080 Ti)
[2021-12-15 23:43:05	                main:435]	:	INFO	:	Set logging level to 1
[2021-12-15 23:43:05	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-12-15 23:43:05	                main:444]	:	INFO	:	Resolving all filenames
[2021-12-15 23:43:05	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2021-12-15 23:43:05	                main:452]	:	INFO	:	Resolved: model.cfg => model.cfg (exists = 0)
[2021-12-15 23:43:05	                main:452]	:	INFO	:	Resolved: model-final.pt => model-final.pt (exists = 0)
[2021-12-15 23:43:05	                main:452]	:	INFO	:	Resolved: model-input.pt => model-input.pt (exists = 1)
[2021-12-15 23:43:05	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 0)
[2021-12-15 23:43:05	                main:472]	:	INFO	:	Dataset filename: dataset.hdf5
[2021-12-15 23:43:05	                main:474]	:	INFO	:	Configuration: 
[2021-12-15 23:43:05	                main:475]	:	INFO	:	    Model type: GRU
[2021-12-15 23:43:05	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-12-15 23:43:05	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-12-15 23:43:05	                main:478]	:	INFO	:	    Batch Size: 128
[2021-12-15 23:43:05	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-12-15 23:43:05	                main:480]	:	INFO	:	    Patience: 10
[2021-12-15 23:43:05	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-12-15 23:43:05	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-12-15 23:43:05	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-12-15 23:43:05	                main:484]	:	INFO	:	    # Threads: 1
[2021-12-15 23:43:05	                main:486]	:	INFO	:	Preparing Dataset
[2021-12-15 23:43:05	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from dataset.hdf5 into memory
[2021-12-15 23:43:06	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from dataset.hdf5 into memory

</stderr_txt>
]]>


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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)