v0.39

[penelopeysm]

This is the regular PR for accumulating breaking changes, to be released in the next minor version of DynamicPPL.

Potential 0.39 changes

Largely speaking I (Penny) am fairly happy with the general state of DPPL now. By far the biggest pain point for me, and the only thing I feel like I really want to change in the short term, is ThreadSafeVarInfo. Apart from that, in my opinion, it's now a good time to spend more resources on Turing, samplers, and optimisation.

Suggestions welcome.

[codecov]

Codecov Report

❌ Patch coverage is 76.92308% with 9 lines in your changes missing coverage. Please review.
✅ Project coverage is 81.32%. Comparing base (08fffa2) to head (4ca9528).

Files with missing lines	Patch %	Lines
src/contexts/conditionfix.jl	79.16%	5 Missing ⚠️
src/contexts.jl	50.00%	4 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1082      +/-   ##
==========================================
- Coverage   81.48%   81.32%   -0.16%     
==========================================
  Files          40       40              
  Lines        3845     3807      -38     
==========================================
- Hits         3133     3096      -37     
+ Misses        712      711       -1     

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[github-actions]

Benchmark Report for Commit 4ca9528

Computer Information

Julia Version 1.11.7
Commit f2b3dbda30a (2025-09-08 12:10 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)

Benchmark Results

┌───────────────────────┬───────┬─────────────┬───────────────────┬────────┬────────────────┬─────────────────┐
│                 Model │   Dim │  AD Backend │           VarInfo │ Linked │ t(eval)/t(ref) │ t(grad)/t(eval) │
├───────────────────────┼───────┼─────────────┼───────────────────┼────────┼────────────────┼─────────────────┤
│ Simple assume observe │     1 │ forwarddiff │             typed │  false │            6.3 │             1.7 │
│           Smorgasbord │   201 │ forwarddiff │             typed │  false │          710.9 │            44.3 │
│           Smorgasbord │   201 │ forwarddiff │ simple_namedtuple │   true │          398.0 │            60.0 │
│           Smorgasbord │   201 │ forwarddiff │           untyped │   true │          763.5 │            37.8 │
│           Smorgasbord │   201 │ forwarddiff │       simple_dict │   true │         7263.7 │            24.3 │
│           Smorgasbord │   201 │ forwarddiff │      typed_vector │   true │          746.9 │            42.5 │
│           Smorgasbord │   201 │ forwarddiff │    untyped_vector │   true │          774.2 │            38.5 │
│           Smorgasbord │   201 │ reversediff │             typed │   true │          885.1 │            44.8 │
│           Smorgasbord │   201 │    mooncake │             typed │   true │          697.0 │             6.0 │
│           Smorgasbord │   201 │      enzyme │             typed │   true │          871.7 │             4.3 │
│    Loop univariate 1k │  1000 │    mooncake │             typed │   true │         3754.7 │             5.8 │
│       Multivariate 1k │  1000 │    mooncake │             typed │   true │          990.5 │             8.8 │
│   Loop univariate 10k │ 10000 │    mooncake │             typed │   true │        41566.9 │             5.5 │
│      Multivariate 10k │ 10000 │    mooncake │             typed │   true │         8427.0 │            10.0 │
│               Dynamic │    10 │    mooncake │             typed │   true │          114.0 │            12.7 │
│              Submodel │     1 │    mooncake │             typed │   true │            8.7 │             6.2 │
│                   LDA │    12 │ reversediff │             typed │   true │          959.8 │             2.0 │
└───────────────────────┴───────┴─────────────┴───────────────────┴────────┴────────────────┴─────────────────┘

[github-actions]

DynamicPPL.jl documentation for PR #1082 is available at:
https://TuringLang.github.io/DynamicPPL.jl/previews/PR1082/