Decouple convergence checking from `SamplerReport` #6453

michaelosthege · 2023-01-14T17:05:28Z

The goal was to uncouple sampling functions from MultiTrace and SamplerReport.

Some calls to SamplerReport._log_summary() were unnecessary because MultiTrace._add_warnings() was never called inbetween instantiation and _log_summary(), therefore the traces never contained warnings.

Running convergence checks and logging the warnings can also be done without needing MultiTrace or SamplerReport instances/methods.

Checklist

Explain important implementation details 👆
Make sure that the pre-commit linting/style checks pass.
Link relevant issues (preferably in nice commit messages)
Are the changes covered by tests and docstrings?
Fill out the short summary sections 👇

Minor changes

The "The number of samples is too small to check convergence reliably." warning is now an INFO level log message instead of a Warning.
SamplerReport._log_summary() and SamplerReport._run_convergence_checks methods were removed.

Maintenance

More type hints in SMC code
SMC and MCMC sampling functions no longer rely on instantiating a MultiTrace or SamplerReport to compute/log warnings.

codecov · 2023-01-14T17:17:06Z

Codecov Report

Merging #6453 (ab128bc) into main (6ab0c03) will increase coverage by 0.01%.
The diff coverage is 100.00%.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #6453      +/-   ##
==========================================
+ Coverage   94.78%   94.79%   +0.01%     
==========================================
  Files         148      148              
  Lines       27678    27678              
==========================================
+ Hits        26234    26238       +4     
+ Misses       1444     1440       -4

Impacted Files	Coverage Δ
pymc/backends/base.py	`84.82% <100.00%> (+0.06%)`	⬆️
pymc/backends/report.py	`78.84% <100.00%> (-1.16%)`	⬇️
pymc/sampling/mcmc.py	`93.06% <100.00%> (-0.07%)`	⬇️
pymc/smc/kernels.py	`97.44% <100.00%> (+0.02%)`	⬆️
pymc/smc/sampling.py	`86.61% <100.00%> (+0.19%)`	⬆️
pymc/stats/convergence.py	`95.61% <100.00%> (+2.88%)`	⬆️
pymc/step_methods/compound.py	`97.45% <100.00%> (ø)`
pymc/tests/smc/test_smc.py	`100.00% <100.00%> (ø)`

The goal was to uncouple sampling functions from `MultiTrace` and `SamplerReport`. Some calls to `SamplerReport._log_summary()` were unnecessary because `MultiTrace._add_warnings()` was never called inbetween instantiation and `_log_summary()`, therefore the traces never contained warnings. Running convergence checks and logging the warnings can also be done without needing `MultiTrace` or `SamplerReport` instances/methods.

* Specify covariant input types in `StatsBijection`. * Annotate `_choose_chains` to be independent of `BaseTrace` type.

OriolAbril · 2023-01-15T17:21:37Z

I don't think I am qualified to review this

michaelosthege · 2023-01-15T18:28:17Z

I don't think I am qualified to review this

I should have added comments to the diff earlier..

GitHub suggested you because you edited the SMC code? Who else is familiar with it?

michaelosthege · 2023-01-15T18:12:29Z

pymc/backends/base.py

+S = TypeVar("S", bound=Sized)
+
+
+def _choose_chains(traces: Sequence[S], tune: int) -> Tuple[List[S], int]:


This annotates it as returning a list of the same type of items as given in the input, but with the constraint that these items must be Sized.

michaelosthege · 2023-01-15T18:14:24Z

pymc/sampling/mcmc.py

        f"({n_tune*n_chains:_d} + {n_draws*n_chains:_d} draws total) "
        f"took {t_sampling:.0f} seconds."
    )
-    mtrace.report._log_summary()


Inbetween the line 574 mtrace = MultiTrace(traces)[:length] where the MultiTrace was created, no warnings were added to mtrace.
Therefore, there are no warnings to log and the _log_summary() call can safely be removed.

michaelosthege · 2023-01-15T18:15:14Z

pymc/sampling/mcmc.py

-                warnings.warn(
-                    "The number of samples is too small to check convergence reliably.",
-                    stacklevel=2,
-                )


This is now checked by run_convergence_checks, just like it already checked for a minimum number of chains

michaelosthege · 2023-01-15T18:16:39Z

pymc/sampling/mcmc.py

-            multitrace = MultiTrace(traces)
-            multitrace._report._log_summary()


Here too: The multitrace can not have warnings that would be printed by _log_summary() because none were added here or in its __init__

michaelosthege · 2023-01-15T18:24:19Z

pymc/smc/sampling.py

+        if idata is None:
+            idata = to_inference_data(trace, log_likelihood=False)
+        warns = run_convergence_checks(idata, model)
+        trace.report._add_warnings(warns)
+        log_warnings(warns)


This replaces the _compute_convergence_checks function and makes the trace.report be a dead end that can easily be removed in the future

Remember from other changes:

"number of samples is too small" warning now done by run_convergence_checks

report._add_warnings was done inside report._run_convergence_checks

trace.report._log_summary() internally called log_warnings()

michaelosthege · 2023-01-15T18:25:53Z

pymc/step_methods/compound.py

    """Map between a `list` of stats to `dict` of stats."""

-    def __init__(self, sampler_stats_dtypes: Sequence[Dict[str, type]]) -> None:
+    def __init__(self, sampler_stats_dtypes: Sequence[Mapping[str, type]]) -> None:


Typing rule of thumb: Generic input types, exact output types.

OriolAbril · 2023-01-15T19:59:18Z

GitHub suggested you because you edited the SMC code? Who else is familiar with it?

I have only modified some docstrings 😅. @aloctavodia is the best choice I think

aloctavodia

LGTM!

Add type hints to SMC code

2cdf34c

michaelosthege added the trace-backend Traces and ArviZ stuff label Jan 14, 2023

michaelosthege self-assigned this Jan 14, 2023

michaelosthege force-pushed the decouple-convergence-checking branch from c6dbdbb to f419ed3 Compare January 14, 2023 18:14

michaelosthege marked this pull request as ready for review January 14, 2023 18:14

michaelosthege requested review from OriolAbril and ricardoV94 January 14, 2023 18:16

michaelosthege added the SMC Sequential Monte Carlo label Jan 14, 2023

michaelosthege force-pushed the decouple-convergence-checking branch from f419ed3 to 6c2f7f2 Compare January 14, 2023 18:42

michaelosthege force-pushed the decouple-convergence-checking branch from 6c2f7f2 to 49f5263 Compare January 14, 2023 18:46

Make trace backend related type hints more generic

ab128bc

* Specify covariant input types in `StatsBijection`. * Annotate `_choose_chains` to be independent of `BaseTrace` type.

ricardoV94 requested a review from aloctavodia January 15, 2023 10:58

michaelosthege commented Jan 15, 2023

View reviewed changes

michaelosthege requested review from ColCarroll, aseyboldt, fonnesbeck and twiecki January 16, 2023 13:48

aloctavodia approved these changes Jan 20, 2023

View reviewed changes

aloctavodia merged commit 5802f12 into pymc-devs:main Jan 20, 2023

michaelosthege deleted the decouple-convergence-checking branch January 20, 2023 14:01

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Decouple convergence checking from `SamplerReport` #6453

Decouple convergence checking from `SamplerReport` #6453

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		S = TypeVar("S", bound=Sized)


		def _choose_chains(traces: Sequence[S], tune: int) -> Tuple[List[S], int]:

		multitrace = MultiTrace(traces)
		multitrace._report._log_summary()

Decouple convergence checking from SamplerReport #6453

Decouple convergence checking from SamplerReport #6453

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Minor changes

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Decouple convergence checking from `SamplerReport` #6453

Decouple convergence checking from `SamplerReport` #6453

michaelosthege commented Jan 14, 2023 •

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