[pytorch profiler] enable iteration tracking for kineto (#72292)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72292
Integrates the libkineto step() method into pytorch profiler step() invocation.
This enables Kineto to track the iteration count and trigger trace collection on iteration boundaries from outside the process.
Test Plan:
## Test using pytorch profiler step() method
Modified the resnet integration test to use pytorch profiler.
Configure it to capture 3 iterations :
```
ACTIVITIES_COMPRESSION_ALGORITHM=GZIP
ACTIVITIES_MANIFOLD_PATH=gpu_traces/tree/traces/dynocli/0/1643063194/127.0.0.1/
PROFILE_START_ITERATION=200
ACTIVITIES_WARMUP_ITERATIONS=1
ACTIVITIES_ITERATIONS=3
```
Run
dyno gputrace -gpuconf /tmp/kineto_pytorch.conf
The output trace has iterations 202, 203, 204 :) One iteration is skipped due to warmup. (Also its one off due 0 vs 1 indexing)
[Trace link](https://www.internalfb.com/intern/perfdoctor/trace_view?filepath=tree%2Ftraces%2Fdynocli%2F0%2F1643063194%2F127.0.0.1%2Flibkineto_activities_501743.json.gz&bucket=gpu_traces)
{F695716262}
Reviewed By: robieta
Differential Revision: D33825241
fbshipit-source-id: 70983420cf47ebbac7b44bfb6494d314506302c5
(cherry picked from commit 96c06ecc9a80512d85b8941f195360f41d74103f)
