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feat(pt): support training/profiling argument in PT #3897

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merged 4 commits into from
Jun 24, 2024

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@njzjz njzjz commented Jun 23, 2024

Summary by CodeRabbit

  • New Features

    • Added profiling functionality with parameters for enabling profiling and exporting data to a Chrome trace file.
  • Documentation

    • Updated documentation for profiling-related arguments to clarify export options for performance analysis.

njzjz added 2 commits June 23, 2024 19:48
Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
@njzjz njzjz requested review from iProzd and wanghan-iapcm June 23, 2024 23:55
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coderabbitai bot commented Jun 23, 2024

Walkthrough

Walkthrough

Recent updates focus on improved profiling functionality within the deepmd/pt/train/training.py module. Key additions include new profiling parameters (profiling and profiling_file) and the capability to export profiling data to a Chrome trace file. The deepmd/utils/argcheck.py documentation has also been updated to offer clearer explanations for these profiling options.

Changes

File Change Summary
deepmd/pt/train/training.py Added profiling and profiling_file parameters, implemented profiling logic, and enabled export of profiling data to a Chrome trace file.
deepmd/utils/argcheck.py Updated documentation for profiling and enable_profiler arguments to explain exporting profiling results for performance analysis.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant TrainingClass
    participant Profiler
    participant ChromeTraceFile

    User ->> TrainingClass: Initialize with training_params
    TrainingClass ->> TrainingClass: Assign profiling parameters<br>(profiling, profiling_file)
    User ->> TrainingClass: Call run()
    TrainingClass ->> Profiler: Start profiler session if profiling enabled
    loop During Training Steps
        TrainingClass ->> Profiler: Step profiler if profiling enabled
    end
    TrainingClass ->> Profiler: Stop profiler if profiling enabled
    Profiler ->> ChromeTraceFile: Export profiling data<br>to Chrome trace file
    TrainingClass ->> User: Log message with location<br>of saved profiling trace file
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Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 7643cfb and b60f534.

Files selected for processing (1)
  • deepmd/utils/argcheck.py (2 hunks)
Additional context used
Ruff
deepmd/utils/argcheck.py

75-75: No explicit stacklevel keyword argument found (B028)


1171-1171: Local variable link_lf is assigned to but never used (F841)

Remove assignment to unused variable link_lf


1172-1172: Local variable link_se_e2_a is assigned to but never used (F841)

Remove assignment to unused variable link_se_e2_a


1173-1173: Local variable link_se_e2_r is assigned to but never used (F841)

Remove assignment to unused variable link_se_e2_r


1174-1174: Local variable link_se_e3 is assigned to but never used (F841)

Remove assignment to unused variable link_se_e3


1175-1175: Local variable link_se_a_tpe is assigned to but never used (F841)

Remove assignment to unused variable link_se_a_tpe


1176-1176: Local variable link_hybrid is assigned to but never used (F841)

Remove assignment to unused variable link_hybrid


1177-1177: Local variable link_se_atten is assigned to but never used (F841)

Remove assignment to unused variable link_se_atten


1178-1178: Local variable link_se_atten_v2 is assigned to but never used (F841)

Remove assignment to unused variable link_se_atten_v2


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Actionable comments posted: 4

Outside diff range and nitpick comments (4)
deepmd/pt/train/training.py (2)

Line range hint 755-758: Optimize conditional assignment using a ternary operator.

For better readability and conciseness, use a ternary operator for setting pref_lr.

-                if _step_id < self.warmup_steps:
-                    pref_lr = _lr.start_lr
-                else:
-                    pref_lr = cur_lr
+                pref_lr = _lr.start_lr if _step_id < self.warmup_steps else cur_lr

Line range hint 865-865: Remove unused loop control variable.

The variable ii is not used within the loop body. It can be replaced with _ to indicate it's intentionally unused.

-                    for ii in range(valid_numb_batch):
+                    for _ in range(valid_numb_batch):
deepmd/utils/argcheck.py (2)

Line range hint 75-75: Add stacklevel to warnings for better debugging.

The warnings.warn function call should include a stacklevel argument to improve the traceability of the warning's origin in larger codebases.

- warnings.warn(f"{key} has been removed and takes no effect.", FutureWarning)
+ warnings.warn(f"{key} has been removed and takes no effect.", FutureWarning, stacklevel=2)

Line range hint 1171-1178: Remove unused variables.

Several variables are defined but never used within the function. Removing these can clean up the code and reduce confusion.

- link_lf = make_link("loc_frame", "model/descriptor[loc_frame]")
- link_se_e2_a = make_link("se_e2_a", "model/descriptor[se_e2_a]")
- link_se_e2_r = make_link("se_e2_r", "model/descriptor[se_e2_r]")
- link_se_e3 = make_link("se_e3", "model/descriptor[se_e3]")
- link_se_a_tpe = make_link("se_a_tpe", "model/descriptor[se_a_tpe]")
- link_hybrid = make_link("hybrid", "model/descriptor[hybrid]")
- link_se_atten = make_link("se_atten", "model/descriptor[se_atten]")
- link_se_atten_v2 = make_link("se_atten_v2", "model/descriptor[se_atten_v2]")

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Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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codecov bot commented Jun 24, 2024

Codecov Report

Attention: Patch coverage is 70.00000% with 3 lines in your changes missing coverage. Please review.

Project coverage is 82.72%. Comparing base (a09738c) to head (b60f534).
Report is 118 commits behind head on devel.

Files with missing lines Patch % Lines
deepmd/pt/train/training.py 62.50% 3 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #3897      +/-   ##
==========================================
- Coverage   82.73%   82.72%   -0.01%     
==========================================
  Files         519      519              
  Lines       50510    50515       +5     
  Branches     3018     3019       +1     
==========================================
  Hits        41788    41788              
- Misses       7787     7790       +3     
- Partials      935      937       +2     

☔ View full report in Codecov by Sentry.
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im confused by the relationship between the options enable_profiler and profiling. could you please explain more in the doc?

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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njzjz commented Jun 24, 2024

im confused by the relationship between the options enable_profiler and profiling. could you please explain more in the doc?

I updated the documentation. While the behavior of the two options never changed, I am wondering whether we should give a more clear name.

@njzjz njzjz requested a review from wanghan-iapcm June 24, 2024 02:41
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Actionable comments posted: 0

Outside diff range and nitpick comments (2)
deepmd/utils/argcheck.py (2)

Line range hint 75-75: Specify stack level for better warning traceability.

When issuing warnings, it's helpful to specify the stacklevel so that the warning points to the caller’s line number rather than the line number inside the utility function itself.

- warnings.warn(f"{key} has been removed and takes no effect.", FutureWarning)
+ warnings.warn(f"{key} has been removed and takes no effect.", FutureWarning, stacklevel=2)

Line range hint 1171-1178: Remove unused local variables.

Several variables (link_lf, link_se_e2_a, link_se_e2_r, link_se_e3, link_se_a_tpe, link_hybrid, link_se_atten, link_se_atten_v2) are defined but never used. This could be cleaned up to avoid confusion and maintain cleaner code.

- link_lf = make_link("loc_frame", "model/descriptor[loc_frame]")
- link_se_e2_a = make_link("se_e2_a", "model/descriptor[se_e2_a]")
- link_se_e2_r = make_link("se_e2_r", "model/descriptor[se_e2_r]")
- link_se_e3 = make_link("se_e3", "model/descriptor[se_e3]")
- link_se_a_tpe = make_link("se_a_tpe", "model/descriptor[se_a_tpe]")
- link_hybrid = make_link("hybrid", "model/descriptor[hybrid]")
- link_se_atten = make_link("se_atten", "model/descriptor[se_atten]")
- link_se_atten_v2 = make_link("se_atten_v2", "model/descriptor[se_atten_v2]")

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Shall we deprecate the profiling option in the future?

@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Jun 24, 2024
Merged via the queue into deepmodeling:devel with commit 8889a1d Jun 24, 2024
60 checks passed
mtaillefumier pushed a commit to mtaillefumier/deepmd-kit that referenced this pull request Sep 18, 2024
)

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **New Features**
- Added profiling functionality with parameters for enabling profiling
and exporting data to a Chrome trace file.
  
- **Documentation**
- Updated documentation for profiling-related arguments to clarify
export options for performance analysis.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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3 participants