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pytorch-profiler

active 2023-08-212025-02-28 (UTC)

Complete coverage26,602 / 26,602 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
37
Pushes
0
Pull requests
0
Issues
4
Stars
28
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 558 days from 2023-08-21 to 2025-02-28. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 2 in a day. Comments: 2 total, peak 1 in a day. Stars: 28 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
johndpope3001
terryzhao1272001
Aegsteh-T1000

Recent activity

Latest issues, pull requests and releases

  • Issue#14Aegsteh-T2024-07-12 09:15
    Why does the funcFlopCompute run twice for each layer ?
  • Issue comment#13johndpope2024-06-08 23:29
    F.interpolate -> TypeError: _upsample_flops_compute() takes 1 positional argument but 5 were given
  • Issue#13johndpope2024-06-08 22:57
    F.interpolate -> TypeError: _upsample_flops_compute() takes 1 positional argument but 5 were given
  • Issue#12johndpope2024-06-08 22:56
    not an issue - suggestion for simpler example for readme
  • Issue comment#11terryzhao1272023-09-19 06:51
    Failed to profile torchscript models
  • Issue#11terryzhao1272023-09-19 06:43
    Failed to profile torchscript models

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.