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ray.exceptions.RayTaskError(RayOutOfMemoryError): ray::process_with_single_worker() (pid=17640, ip=127.0.0.1)
File "python\ray_raylet.pyx", line 623, in ray._raylet.execute_task
File "E:\Anaconda\envs\NeuralReconpython39\lib\site-packages\ray_private\memory_monitor.py", line 162, in raise_if_low_memory
raise RayOutOfMemoryError(
ray._private.memory_monitor.RayOutOfMemoryError: More than 95% of the memory on node yanwm5 is used (15.08 / 15.73 GB). The top 10 memory consumers are:
"I want to know how much memory is generate_gt.py required to run, but I don't have enough 16GB of memory."
The text was updated successfully, but these errors were encountered:
ray.exceptions.RayTaskError(RayOutOfMemoryError): ray::process_with_single_worker() (pid=17640, ip=127.0.0.1)
File "python\ray_raylet.pyx", line 623, in ray._raylet.execute_task
File "E:\Anaconda\envs\NeuralReconpython39\lib\site-packages\ray_private\memory_monitor.py", line 162, in raise_if_low_memory
raise RayOutOfMemoryError(
ray._private.memory_monitor.RayOutOfMemoryError: More than 95% of the memory on node yanwm5 is used (15.08 / 15.73 GB). The top 10 memory consumers are:
"I want to know how much memory is generate_gt.py required to run, but I don't have enough 16GB of memory."
The text was updated successfully, but these errors were encountered: