- FSM handles the actual cc upgrade process including error states
- PoSting (winning and window) works over upgraded and upgrading sectors
- Integration test and changes to itest framework to reduce flakes
- Update CLI to handle new upgrade
- Update dependencies
- FSM handles the actual cc upgrade process including error states
- PoSting (winning and window) works over upgraded and upgrading sectors
- Integration test and changes to itest framework to reduce flakes
- Update CLI to handle new upgrade
- Update dependencies
- FSM handles the actual cc upgrade process including error states
- PoSting (winning and window) works over upgraded and upgrading sectors
- Integration test and changes to itest framework to reduce flakes
- Update CLI to handle new upgrade
- Update dependencies
Before this change workers can only be allocated one GPU task,
regardless of how much of the GPU resources that task uses, or how many
GPUs are in the system.
This makes GPUUtilization a float which can represent that a task needs
a portion, or multiple GPUs. GPUs are accounted for like RAM and CPUs so
that workers with more GPUs can be allocated more tasks.
A known issue is that PC2 cannot use multiple GPUs. And even if the
worker has multiple GPUs and is allocated multiple PC2 tasks, those
tasks will only run on the first GPU.
This could result in unexpected behavior when a worker with multiple
GPUs is assigned multiple PC2 tasks. But this should not suprise any
existing users who upgrade, as any existing users who run workers with
multiple GPUs should already know this and be running a worker per GPU
for PC2. But now those users have the freedom to customize the GPU
utilization of PC2 to be less than one and effectively run multiple PC2
processes in a single worker.
C2 is capable of utilizing multiple GPUs, and now workers can be
customized for C2 accordingly.
Attempting to report "memory used by other processes" in the MemReserved
field fails to take into account the fact that the system's memory used
includes memory used by ongoing tasks.
To properly account for this, worker should report the memory and swap
used, then the scheduler that is aware of the memory requirements for a
task can determine if there is sufficient memory available for a task.
