Comments (4)
Issues go stale after 90d of inactivity.
Mark the issue as fresh with /remove-lifecycle stale
.
Stale issues rot after an additional 30d of inactivity and eventually close.
If this issue is safe to close now please do so with /close
.
/lifecycle stale
from benchmarks-tekton.
Stale issues rot after 30d of inactivity.
Mark the issue as fresh with /remove-lifecycle rotten
.
Rotten issues close after an additional 30d of inactivity.
If this issue is safe to close now please do so with /close
.
/lifecycle rotten
from benchmarks-tekton.
Rotten issues close after 30d of inactivity.
Reopen the issue with /reopen
.
Mark the issue as fresh with /remove-lifecycle rotten
.
/close
from benchmarks-tekton.
@sesheta: Closing this issue.
In response to this:
Rotten issues close after 30d of inactivity.
Reopen the issue with/reopen
.
Mark the issue as fresh with/remove-lifecycle rotten
./close
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Related Issues (10)
- The benchmark does not wait for the ImageStream build to complete before running the next test HOT 4
- Fix the broken master branch HOT 4
- Convert GNMT benchmark into Tekton pipelines HOT 4
- Convert IntelAI / models into Tekton Pipelines HOT 4
- When running CPU version of the benchmarking, it still requests GPUs HOT 4
- CPU benchmark has null num_gpus, code uses it for number of CPUs HOT 4
- Dockerfile doesn't build, devtoolset-7 not valid for scl_enable HOT 4
- Benchmark fails almost immediately on training start with OOM error HOT 7
- https://github.com/tensorflow/benchmarks is no longer maintained https://github.com/tensorflow/models/tree/master/official is listed as alternative HOT 4
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