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Summary:
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

{F695716262}

Reviewed By: robieta

Differential Revision: D33825241

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pytorch-bot bot commented Feb 3, 2022

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This pull request was exported from Phabricator. Differential Revision: D33825241

@soulitzer soulitzer removed their request for review February 4, 2022 17:33
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This pull request was exported from Phabricator. Differential Revision: D33825241

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LGTM!

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This pull request was exported from Phabricator. Differential Revision: D33825241

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This pull request was exported from Phabricator. Differential Revision: D33825241

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This pull request was exported from Phabricator. Differential Revision: D33825241

Summary:
Pull Request resolved: pytorch#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: e3f7781143370db3c551c82a6d10f5073aac6ebd
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This pull request was exported from Phabricator. Differential Revision: D33825241

facebook-github-bot pushed a commit that referenced this pull request Mar 23, 2022
Summary:
Pull Request resolved: #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
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Hey @briancoutinho.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

shahofblah pushed a commit that referenced this pull request Mar 25, 2022
Summary:
Pull Request resolved: #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 96c06ec)
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