Add option to disable operator profiling #5720
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/5720
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 0062774 with merge base 3a25651 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: Vysarat Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: Vysarat Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Reviewed By: dbort Differential Revision: D61883224
Summary: X-link: pytorch/pytorch#136838 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Reviewed By: dbort Differential Revision: D61883224
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Summary: X-link: pytorch/executorch#5720 For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time. To disable operator profiling users need to do: ``` etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling); ``` Test Plan: Added test case. Differential Revision: D61883224 Pull Request resolved: #136838 Approved by: https://github.com/dbort
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Summary:
For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time.
To disable operator profiling users need to do:
Differential Revision: D61883224