- Add comment to clarify the reason for loop in testkit
- Trim common prefix in state printed in CLI commands for better
readability
- Upgrade to a tagged release of `go-fil-markets` that includes indexing
work; see: https://github.com/filecoin-project/go-fil-markets/pull/673
- Fix typo in CLI usage.
- Add comments to note that it is safe to use fx `OnStart` context when
starting the provider engine.
- Fix string concatenation in error message formatting.
- 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.
