Fix duplicate benchmark comments

[shravanngoswamii]

Removing this in PR #1386 caused it

Closes #1389

[github-actions]

DynamicPPL.jl documentation for PR #1391 is available at:
https://TuringLang.github.io/DynamicPPL.jl/previews/PR1391/

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 78.56%. Comparing base (8f52e83) to head (d719f8e).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1391   +/-   ##
=======================================
  Coverage   78.56%   78.56%           
=======================================
  Files          50       50           
  Lines        3522     3522           
=======================================
  Hits         2767     2767           
  Misses        755      755           

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[github-actions]

Benchmarks @ d719f8e

==================================================================================================
                                              eval                       gradient                 
                                           ----------  -------------------------------------------
Model                       dim    linked      primal     FwdDiff    RvsDiff    Mooncake    Enzyme
--------------------------------------------------------------------------------------------------
Simple assume observe         1     false     5.96 ns       10.66    1056.38       30.64      6.48
Simple assume observe         1      true     21.4 ns        3.00     347.97        8.90      1.78
Smorgasbord                 201     false     6.21 μs       71.06     133.91        6.40      6.91
Smorgasbord                 201      true     8.82 μs       64.87     130.75        5.13      4.59
Loop univariate 1k         1000     false     18.7 μs     1153.40     301.11        8.47      6.86
Loop univariate 1k         1000      true     20.2 μs     1506.20     281.80        7.80      6.55
Multivariate 1k            1000     false     25.0 μs      294.15      69.29        7.89      1.96
Multivariate 1k            1000      true     23.9 μs      281.11      73.63        9.14      1.95
Loop univariate 10k       10000     false    175.0 μs    14545.46     347.58        9.18      7.15
Loop univariate 10k       10000      true    197.0 μs    13334.12     313.82        8.21      6.40
Multivariate 10k          10000     false    221.0 μs     4250.86      86.29        9.67      1.81
Multivariate 10k          10000      true    221.0 μs     4211.33      81.89        9.82      1.81
Dynamic                      15     false     1.42 μs         err      40.24       12.73     10.62
Dynamic                      10      true     1.94 μs        1.92      56.58       10.50     17.40
Submodel                      1     false     5.97 ns       10.96    1234.62       30.75      6.41
Submodel                      1      true     5.97 ns       10.75    1419.06       34.60      6.41
LDA                          12      true     22.2 μs        0.49       2.11       31.46       err
==================================================================================================

Each row times one of DynamicPPL's reference models on this PR's head. Dim is the parameter count; Linked is true when parameters have been mapped to unconstrained space. t(logdensity) is the wall-clock time for one log-density evaluation. The AD (automatic differentiation) backend columns express gradient time as a multiple of t(logdensity) — a value of 10 means computing the gradient takes 10× as long as the log-density. Lower is better throughout; err means the backend errored on that model. Compare against main below to spot regressions.

Main @ 8f52e83

==================================================================================================
                                              eval                       gradient                 
                                           ----------  -------------------------------------------
Model                       dim    linked      primal     FwdDiff    RvsDiff    Mooncake    Enzyme
--------------------------------------------------------------------------------------------------
Simple assume observe         1     false     5.88 ns       10.19    1227.40       28.70      6.29
Simple assume observe         1      true     23.9 ns        2.51     325.65        7.06      1.57
Smorgasbord                 201     false     6.46 μs       67.95     123.20        6.29      8.78
Smorgasbord                 201      true     8.91 μs       64.14     130.63        5.11      5.83
Loop univariate 1k         1000     false     19.6 μs      944.58     265.14        7.06      5.81
Loop univariate 1k         1000      true     21.8 μs     1203.52     253.52        6.74      5.40
Multivariate 1k            1000     false     23.4 μs      359.40      74.42        9.16      3.11
Multivariate 1k            1000      true     27.5 μs      276.20      62.49        8.08      3.03
Loop univariate 10k       10000     false    204.0 μs    10171.91     284.39        7.07      5.68
Loop univariate 10k       10000      true    221.0 μs    10195.97     263.81        6.69      5.34
Multivariate 10k          10000     false    222.0 μs     4940.32      81.50       10.28      2.12
Multivariate 10k          10000      true    223.0 μs     4743.12      82.19       10.35      2.12
Dynamic                      15     false     1.43 μs         err      42.49       12.78     10.48
Dynamic                      10      true     1.95 μs        1.97      57.07       17.52     17.92
Submodel                      1     false     5.88 ns       10.20    1254.53       28.97      6.26
Submodel                      1      true     5.88 ns       10.38    1373.22       28.79      6.42
LDA                          12      true     22.3 μs        0.52       2.05       33.24       err
==================================================================================================

Environment

Julia Version 1.11.9
Commit 53a02c0720c (2026-02-06 00:27 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 9V74 80-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver4)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)