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These three granules all failed RTC processing at 10m (linked to the log file):
with a segmentation fault (core dumped) during mk_geo_radcal2. Here's the relevant snippet from the logs:
mk_geo_radcal2
09/08/2021 12:01:44 AM - INFO - Proc: ras_linear ./corrected.ls_map_rdc 32819 1 - 1 1 0 20 0 - ./corrected_0.ls_map_rdc.bmp 09/08/2021 12:01:44 AM - INFO - Proc: WARNING: BMP format image width out of valid range (1->32767): 32819 09/08/2021 12:01:44 AM - INFO - Proc: Segmentation fault (core dumped) 09/08/2021 12:01:44 AM - INFO - Proc: ERROR /usr/local/GAMMA_SOFTWARE-20191203/DIFF/scripts/mk_geo_radcal2: non-zero exit status: ras_linear ./corrected.ls_map_rdc 32819 1 - 1 1 0 20 0 - ./corrected_0.ls_map_rdc.bmp 09/08/2021 12:01:44 AM - INFO - Finished: mk_geo_radcal2 vv.mli vv.mli.par dem.image dem.par dem_seg dem_seg.par . corrected 10.0 0 -q 09/08/2021 12:01:44 AM - ERROR - Nonzero return value! Traceback (most recent call last): File "/usr/local/bin/hyp3_gamma", line 8, in <module> sys.exit(main()) File "/usr/local/lib/python3.6/dist-packages/hyp3_gamma/__main__.py", line 32, in main load_entry_point('hyp3_gamma', 'console_scripts', args.process)() File "/usr/local/lib/python3.6/dist-packages/hyp3_gamma/__main__.py", line 73, in rtc dem_name=args.dem_name, File "/usr/local/lib/python3.6/dist-packages/hyp3_gamma/rtc/rtc_sentinel.py", line 350, in rtc_sentinel_gamma run(f'mk_geo_radcal2 {mli_image} {mli_par} {dem_image} {dem_par} dem_seg dem_seg.par . corrected ' File "/usr/local/lib/python3.6/dist-packages/hyp3_gamma/rtc/rtc_sentinel.py", line 147, in run execute(cmd, uselogging=True) File "/usr/local/lib/python3.6/dist-packages/hyp3lib/execute.py", line 77, in execute raise ExecuteError(tool + ': ' + line) hyp3lib.exceptions.ExecuteError: mk_geo_radcal2: ERROR /usr/local/GAMMA_SOFTWARE-20191203/DIFF/scripts/mk_geo_radcal2: non-zero exit status: ras_linear ./corrected.ls_map_rdc 32819 1 - 1 1 0 20 0 - ./corrected_0.ls_map_rdc.bmp
It's possible that this is just hitting the instance memory limit, and upping the machine size may solve it, but I have not investigated this yet.
Note: All jobs were requested with these options:
job_definition = { 'job_type': 'RTC_GAMMA', 'job_parameters': { 'resolution': 10, 'speckle_filter': True, 'radiometry': 'gamma0', 'scale': 'power', 'dem_matching': True, } }
The text was updated successfully, but these errors were encountered:
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These three granules all failed RTC processing at 10m (linked to the log file):
with a segmentation fault (core dumped) during
mk_geo_radcal2
. Here's the relevant snippet from the logs:It's possible that this is just hitting the instance memory limit, and upping the machine size may solve it, but I have not investigated this yet.
Note: All jobs were requested with these options:
The text was updated successfully, but these errors were encountered: