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fix: reconcile posterior device after mapped load - #1972

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BHARATH0153:fix-stale-device-map-location-v2
Open

fix: reconcile posterior device after mapped load#1972
BHARATH0153 wants to merge 9 commits into
sbi-dev:mainfrom
BHARATH0153:fix-stale-device-map-location-v2

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@BHARATH0153

@BHARATH0153 BHARATH0153 commented Aug 4, 2026

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description

Fix stale posterior device state after loading with torch.load(..., map_location=...).

Changes

  • Reconcile loaded posterior state with the device of its tensors.
  • Move potential functions, distributions, estimators, stored observations, and vector-field state when needed.
  • Route VIPosterior restoration through the base reconciliation and its own to() method.
  • Add mapped-load coverage for direct, potential-based, VI, and vector-field posterior paths, including post-load runtime operations.
  • matching canonical_device() from sbi/utils/torchutils.py fix: unify device handling and run the GPU test suite on MPS #1958

Closes #1954 Supersedes #1959

How I tested

with the suggestion of @janfb

CI doesn't run gpu-marked tests, so I ran the new tests locally on my Mac (MPS backend, Python 3.12, torch 2.13)

pytest tests/inference_on_device_test.py -k "pickle_map_location" -v

Result: 6 passed — Direct, rejection, importance, MCMC, VI, and vector-field posteriors all save on GPU and reload correctly with map_location="cpu", including sampling and potential() / log_prob() calls after loading.

Also ran:

  • tests/torchutils_test.py — passed
  • ruff check — clean
  • pyright sbi — clean

The VI test needed a fix on my side: I trained the posterior before the save/load roundtrip, otherwise sample() fails after loading. That's the current test in this PR.

I used AI tools to help run the tests, and I verified every test locally before pushing.

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  • tests/save_and_load_test.py

📝 Walkthrough

Walkthrough

The changes add recursive device inference and reconcile NeuralPosterior state after unpickling. They move posterior components to the loaded device and add serialization tests for multiple posterior types loaded with map_location="cpu".

Changes

Device reconciliation on posterior load

Layer / File(s) Summary
Recursive tensor device inference
sbi/utils/torchutils.py
Adds infer_tensor_device, which traverses tensors, modules, containers, and object attributes while avoiding cycles.
Posterior device reconciliation
sbi/inference/posteriors/base_posterior.py
NeuralPosterior.__setstate__ detects device mismatches after unpickling and moves potentials, distributions, neural estimators, and stored observations.
Serialization regression tests
tests/save_and_load_test.py, tests/inference_on_device_test.py
Adds CPU and GPU-gated coverage for direct, rejection, importance-sampling, MCMC, VI, and vector-field posteriors after mapped loading.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Merge Risk: 🔵 Low · up to 4bd1e

The PR fixes stale device state after mapped posterior loads and adds coverage, but two round-trip tests still use a platform-dependent temporary-file pattern that may affect test execution on some platforms. The change is mergeable with explicit owner follow-up on test portability.

Sequence Diagram(s)

sequenceDiagram
  participant torch.load
  participant NeuralPosterior
  participant infer_tensor_device
  participant PosteriorComponents
  torch.load->>NeuralPosterior: restore serialized state
  NeuralPosterior->>infer_tensor_device: inspect restored tensors
  infer_tensor_device-->>NeuralPosterior: return detected device
  NeuralPosterior->>PosteriorComponents: move posterior components to detected device
Loading

Possibly related issues

Possibly related PRs

  • sbi-dev/sbi#1959 — Modifies the same device-inference and NeuralPosterior.__setstate__ flow and adds equivalent map-location tests.
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Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
Title check ✅ Passed The title clearly and concisely describes the main change: reconciling posterior device state after mapped loading.
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@BHARATH0153
BHARATH0153 force-pushed the fix-stale-device-map-location-v2 branch from 4d27ba5 to 5e7083f Compare August 4, 2026 15:00
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Codecov Report

❌ Patch coverage is 76.36364% with 13 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.39%. Comparing base (2623024) to head (4bd1e50).
⚠️ Report is 1 commits behind head on main.

Files with missing lines Patch % Lines
sbi/utils/torchutils.py 59.37% 13 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1972      +/-   ##
==========================================
+ Coverage   88.18%   89.39%   +1.20%     
==========================================
  Files         140      140              
  Lines       14110    14248     +138     
==========================================
+ Hits        12443    12737     +294     
+ Misses       1667     1511     -156     
Flag Coverage Δ
fast 84.10% <76.36%> (?)

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Files with missing lines Coverage Δ
sbi/inference/posteriors/base_posterior.py 89.38% <100.00%> (+2.42%) ⬆️
sbi/utils/torchutils.py 76.59% <59.37%> (-1.01%) ⬇️

... and 29 files with indirect coverage changes

@BHARATH0153

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@coderabbitai is it covering all the issue and jan review in #1959

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🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
set -euo pipefail

echo '=== PR `#1959` review comments and conversation ==='
gh api --paginate repos/sbi-dev/sbi/pulls/1959/comments \
  --jq '.[] | {user: .user.login, path, line, original_line, body, html_url}'
gh api --paginate repos/sbi-dev/sbi/issues/1959/comments \
  --jq '.[] | {user: .user.login, body, html_url}'

echo '=== Current PR changed files ==='
gh pr view 1972 --repo sbi-dev/sbi --json files --jq '.files[] | "\(.path) (+\(.additions)/-\(.deletions))"'

echo '=== Source maps ==='
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match '__setstate__|to|NeuralPosterior'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match '__setstate__|to|VIPosterior'
ast-grep outline sbi/utils/torchutils.py --items all --match 'infer_tensor_device'

echo '=== Relevant implementations ==='
rg -n -A75 -B12 'def __setstate__|def infer_tensor_device' \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== New mapped-load tests ==='
rg -n -A55 -B8 'map_location|infer_tensor_device|reconcile|loaded.*device' \
  tests/inference_on_device_test.py

Length of output: 59358


@BHARATH0153 Yes. The current PR covers the technical issues raised in Jan’s review on #1959 and the device-state problem in #1954.

Covered items:

  • VIPosterior now delegates restoration to NeuralPosterior.__setstate__ and then calls VIPosterior.to(self._device). This restores VI-specific state such as distributions and transforms.
  • The VI test constructs VIPosterior with a valid potential_fn and prior.
  • Device inference reaches potential-based posteriors and VectorFieldPosterior.
  • Reconciliation updates both _device and device when the posterior has a device attribute.
  • The vector-field test checks loaded.device == "cpu" and executes loaded.sample(...).
  • Direct and potential-based posterior tests execute both sample() and potential() after map_location="cpu".
  • The VI test executes sample() and log_prob() after loading.
  • Tests check that estimators, potential functions, and stored state are on CPU after the mapped load.

One validation limit remains: I can verify the implementation and test coverage from the PR, but I cannot independently confirm local GPU-marked test execution, full pytest, or pyright execution from the available evidence. Please run those checks before merge if they are available.

You are interacting with an AI system.

@BHARATH0153

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@janfb may I know how you would prefer for easy testing my local venv taking more time your suggestion will be helpful thanks!

@janfb

janfb commented Aug 4, 2026

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@janfb may I know how you would prefer for easy testing my local venv taking more time your suggestion will be helpful thanks!

you need to test locally only the specific GPU tests that are affected by your changes, not the entire test suite. I hope this helps.

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@coderabbitai review and Provide the total pull request stage and check if the issue requirements are met and check is it matching canonical_device() from sbi/utils/torchutils.py #1958

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🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
set -euo pipefail

echo '=== Current PR metadata, reviews, and checks ==='
gh pr view 1972 --repo sbi-dev/sbi \
  --json state,isDraft,mergeStateStatus,reviewDecision,statusCheckRollup,reviews,comments \
  --jq '{state,isDraft,mergeStateStatus,reviewDecision,statusCheckRollup,reviews,comments}'

echo '=== Issue `#1954` ==='
gh issue view 1954 --repo sbi-dev/sbi --json state,title,body,comments \
  --jq '{state,title,body,comments}'

echo '=== PR `#1958` summary and changed files ==='
gh pr view 1958 --repo sbi-dev/sbi --json state,title,body,files,commits \
  --jq '{state,title,body,files:[.files[]|{path,additions,deletions}],commits:[.commits[]|{oid,messageHeadline}]}'

echo '=== Current PR diff for device reconciliation files ==='
git diff --unified=80 origin/main...HEAD -- \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py \
  tests/inference_on_device_test.py

echo '=== AST outlines ==='
ast-grep outline sbi/utils/torchutils.py --items all --match 'canonical_device|infer_tensor_device'
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match 'NeuralPosterior|__setstate__|to'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match 'VIPosterior|__setstate__|to'
ast-grep outline tests/inference_on_device_test.py --items all --match 'pickle_map_location'

echo '=== Definitions and mapped-load tests ==='
rg -n -A100 -B15 \
  'def canonical_device|def infer_tensor_device|def __setstate__|def test_pickle_map_location' \
  sbi/utils/torchutils.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  tests/inference_on_device_test.py

Length of output: 110269


@BHARATH0153 Review complete.

Pull request stage

Item Status
Pull request state Open
Draft state Not a draft
Merge state Blocked
Required review Yes
Existing GitHub reviews None
CI matrix Passed
Linting Passed
Type checking Passed
License check Passed
CodeRabbit check Passed
Codecov required check Passed
Affected MPS tests 6 passed, as reported

The PR is technically validated by CI. The PR cannot merge until a required maintainer review is submitted.

Issue #1954 requirements

The main requirement is met.

  • NeuralPosterior.__setstate__ now runs after unpickling.
  • It finds the device of restored tensors with infer_tensor_device(self).
  • It updates _device when torch.load(..., map_location=...) changes tensor placement.
  • It updates the public device attribute when that attribute exists. This covers VectorFieldPosterior.
  • It moves potential_fn, supported distributions, estimators, stored observation _x, and VI state to the reconciled device.
  • VIPosterior.__setstate__ calls the base implementation and then calls self.to(self._device).
  • The tests cover direct, rejection, importance, MCMC, VI, and vector-field posteriors.
  • The tests perform post-load operations such as sample(), potential(), and log_prob().

Therefore, the stale _device failure described in #1954 is addressed.

canonical_device() comparison

The implementation matches the device-string comparison contract from merged PR #1958.

if actual_device is None or canonical_device(actual_device) == canonical_device(
    self._device
):
    return

This is correct because canonical_device() normalizes equivalent device spellings before comparison:

  • "cpu" and "cpu:0" compare as "cpu".
  • "cuda" and "cuda:0" compare as "cuda:0".
  • "mps" and "mps:0" compare as "mps:0".

This prevents a false reconciliation when only the device-string spelling differs.

actual_device comes from str(tensor.device) or module parameters and buffers. For CUDA and MPS, these values include the device index. Therefore, the assigned _device value is normally canonical after an actual mapped-load mismatch.

Remaining non-blocking item

Issue #1954 also requested an update to docs/how_to_guide/07_save_and_load.ipynb to remove or revise the older CPU_Unpickler workaround. This PR does not modify that guide.

I do not consider the missing documentation update a blocker for the device-state fix. It should be added before merge if the maintainers require the issue’s documentation scope to be complete.

No code-level blocking defect was found in this review.

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@coderabbitai review and any blocking issues

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🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
set -euo pipefail

repo="sbi-dev/sbi"
pr="1972"

echo '=== Pull request state and checks ==='
gh pr view "$pr" --repo "$repo" \
  --json state,isDraft,mergeStateStatus,reviewDecision,statusCheckRollup,headRefOid \
  --jq '{state,isDraft,mergeStateStatus,reviewDecision,headRefOid,statusCheckRollup}'

echo '=== Changed files ==='
gh pr view "$pr" --repo "$repo" --json files \
  --jq '.files[] | "\(.path) (+\(.additions)/-\(.deletions))"'

echo '=== Review comments ==='
gh api --paginate "repos/$repo/pulls/$pr/comments" \
  --jq '.[] | {user:.user.login,path,line,original_line,body,html_url}'

echo '=== Review conversation ==='
gh api --paginate "repos/$repo/issues/$pr/comments" \
  --jq '.[] | {user:.user.login,created_at,body,html_url}'

echo '=== Diff ==='
git diff --unified=50 origin/main...HEAD -- \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py \
  tests/inference_on_device_test.py

echo '=== Source outlines ==='
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match 'NeuralPosterior|__setstate__|to'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match 'VIPosterior|__setstate__|to'
ast-grep outline sbi/utils/torchutils.py --items all --match 'canonical_device|infer_tensor_device'
ast-grep outline tests/inference_on_device_test.py --items all --match 'pickle_map_location'

Length of output: 56504


🏁 Script executed:

#!/bin/bash
set -euo pipefail

echo '=== Device migration contracts ==='
ast-grep outline sbi/inference/potentials --items all --match 'BasePotential|to'
ast-grep outline sbi/inference/posteriors --items all --match 'DirectPosterior|MCMCPosterior|ImportanceSamplingPosterior|RejectionPosterior|VectorFieldPosterior|to'
ast-grep outline sbi/utils/user_input_checks_utils.py --items all --match 'move_distribution_to_device'

echo '=== Relevant implementations ==='
rg -n -A120 -B12 \
  'class BasePotential|def to\(|def move_distribution_to_device|class VectorFieldPosterior|class VIPosterior' \
  sbi/inference/potentials \
  sbi/inference/posteriors \
  sbi/utils/user_input_checks_utils.py

echo '=== NeuralPosterior state fields and subclasses ==='
rg -n -A35 -B10 \
  'self\.(potential_fn|theta_transform|default_x|_x|prior|proposal|posterior_estimator|vector_field_estimator|_q|_amortized_q|device|_device)\s*=|def __setstate__' \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/inference/posteriors/direct_posterior.py \
  sbi/inference/posteriors/mcmc_posterior.py \
  sbi/inference/posteriors/importance_posterior.py \
  sbi/inference/posteriors/rejection_posterior.py \
  sbi/inference/posteriors/vector_field_posterior.py

Length of output: 201808


@BHARATH0153 Review complete. I found no code-level blocking issue.

The implementation meets the core requirement in #1954:

  • NeuralPosterior.__setstate__ detects the mapped tensor device.
  • It compares device values with canonical_device().
  • It updates stale _device and the public device attribute when present.
  • It moves the potential, distributions, estimators, and stored observation state.
  • VIPosterior.__setstate__ calls the base method and then calls VIPosterior.to(self._device).
  • The affected MPS tests passed for direct, rejection, importance, MCMC, VI, and vector-field posteriors.

All required checks currently pass. The pull request is blocked only because GitHub requires a maintainer review.

The missing update to docs/how_to_guide/07_save_and_load.ipynb remains non-blocking. It can be handled in a follow-up change.

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@BHARATH0153

BHARATH0153 commented Aug 7, 2026

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@janfb — I also ran the full GPU suite locally on MPS, as you did, to cover the other posteriors too.
All new mapped-load tests pass (Direct, rejection, importance, MCMC, VI, vector-field).
All existing posterior device tests (test_training_and_mcmc_on_device across NPE/NLE/NRE × MCMC/rejection/importance, gpu↔cpu both ways) pass or xfail as before.
66 xfailed, same as the #1958 baseline.
Two pre-existing cases not related to this PR:
test_affine_contract_cuda — hardcodes .cuda(), this machine is MPS-only.
test_vector_field_methods_degvice_handling[NPSE-gpu-2-cpu] — a worker crashed under -n auto parallel load ("node down"); it passes standalone (16/16 in 9s), so it's a parallel memory flake, not a code issue.
Nothing from this PR fails.

@saithaandra-glitch

saithaandra-glitch commented Aug 8, 2026

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@janfb @BHARATH0153 hi my name is sai
sorry for reviewing without permission and took help claude for the review please share your inshgits on the review

overall looks great and here are some points

What it does

Fixes posterior._device (and downstream tensors) going stale after torch.load(..., map_location=...), by adding device-reconciliation logic to NeuralPosterior.__setstate__ and routing VIPosterior.__setstate__ through it.

The core mechanism

actual_device = infer_tensor_device(self)
if actual_device is None or canonical_device(actual_device) == canonical_device(self._device):
    return
self._device = actual_device
...

infer_tensor_device walks the object graph (dicts, lists/tuples, __dict__, nn.Module params/buffers, raw tensors) with cycle detection via id(), returning the device of the first tensor it finds. This is a reasonable approach for the common case, but worth being clear-eyed about a few things:

1. "First tensor found" is a heuristic, not a guarantee of consistency.
The traversal order depends on attribute insertion order in vars(current). If map_location is ever passed as a dict (remapping different source devices to different targets) rather than a single string, tensors inside one posterior could legitimately end up on different devices, and the fix would silently pick whichever it finds first. That's an edge case, but the docstring for infer_tensor_device doesn't caveat "assumes uniform device across the object graph" — worth a one-line note.

2. potential_fn.to(actual_device) isn't guarded.

if hasattr(self, "potential_fn"):
    self.potential_fn.to(actual_device)  # type: ignore[union-attr]

This assumes any potential_fn present has a working .to(). Fine for BasePotential subclasses, but if a user supplies a custom callable potential without .to(), __setstate__ (called during unpickling!) will raise. A try/except or an isinstance check against the actual base class would be safer than a blanket hasattr.

3. _amortized_q may not always be a single nn.Module.
The move-loop does isinstance(value, nn.Module) for posterior_estimator, vector_field_estimator, _q, _amortized_q. Worth double-checking whether amortized VI ever stores a container (list/dict) of modules there rather than a single module — if so this silently skips reconciling it.

**4. The reconciliation logic and infer_tensor_device don't actually need real multi-device hardware to test the branch logic — you could add CPU-only tests that:

  • manually desync posterior._device = "cuda:0" (or any string) on a CPU-resident posterior, call __setstate__, and assert it gets corrected back to "cpu" matching the real tensors, and
  • unit-test infer_tensor_device directly against plain objects/dicts/nested structures, cycles, and the "no tensor found → None" path.

That would get this logic under real CI coverage instead of relying entirely on manual GPU runs before every future refactor.

5. Non-blocking, already flagged by CodeRabbit: issue #1954 also asked for docs/how_to_guide/07_save_and_load.ipynb to drop the old CPU_Unpickler workaround — this PR doesn't touch it. Fine to leave as follow-up, but worth confirming with the maintainer whether that's required before merge.

at last

The logic itself looks correct for the mainline case (uniform map_location, standard posterior types), and the manual test results reported are convincing.

@BHARATH0153

BHARATH0153 commented Aug 8, 2026

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@saithaandra-glitch thanks for the review I will address them and please check #1959 this closed one check this once and I think you are new to sbi-dev welcome thanks!

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@janfb @BHARATH0153 #1972 (comment) was my review is on point

@BHARATH0153

BHARATH0153 commented Aug 10, 2026

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@saithaandra-glitch please don't ping Jan every time he is really busy in gsoc and some other work if you want to know anything about the pr feel free to ping anytime and yes your review is really helpful thanks!

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@BHARATH0153 sorry for the ping

@janfb

janfb commented Aug 10, 2026

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Thanks both for the activity!

@saithaandra-glitch, thanks for helping out with the review here! But please do not post reviews on pull requests unless the author or a maintainer asks for one, and please do not post reviews that an AI assistant wrote. I cannot confirm whether the points are correct. That check costs more time than the review saves, and it is why we keep reviewing with the maintainers.

We recently started running CodeRabbit on every pull request for the automated part.

We will updated this in our contributing guide soon to make it clearer.

@BHARATH0153, thanks commenting and explaining here! I will get to the review of this PR myself soon.

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Actionable comments posted: 1

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Inline comments:
In `@tests/save_and_load_test.py`:
- Around line 191-193: Update both NamedTemporaryFile blocks to pass the open
handle f directly to torch.save, then flush and rewind f before passing it to
torch.load, avoiding reopening the temporary path while preserving CPU loading
and existing serialization behavior.
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added two CPU tests in save_and_load_test.py to get codecov/patch green, since the inference_on_device tests are skipped in CI."

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BHARATH0153 commented Aug 14, 2026

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@coderabbitai I added two CPU tests in save_and_load_test.py to get codecov/patch green, since the inference_on_device tests are skipped in CI." review and approve

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repo="sbi-dev/sbi"
pr="1972"

echo '=== PR status and changed files ==='
gh pr view "$pr" --repo "$repo" \
  --json headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,files \
  --jq '{headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,files:[.files[]|{path,additions,deletions}]}'

echo '=== Focused current diff ==='
git diff --unified=70 origin/main...HEAD -- \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== Source maps ==='
ast-grep outline tests/save_and_load_test.py --items all --match 'map_location|device|load'
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match 'NeuralPosterior|__setstate__'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match 'VIPosterior|__setstate__'
ast-grep outline sbi/utils/torchutils.py --items all --match 'canonical_device|infer_tensor_device'

echo '=== CPU mapped-load tests and exercised code ==='
rg -n -A100 -B15 \
  'map_location|def __setstate__|def infer_tensor_device|def canonical_device' \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

Length of output: 54259


@BHARATH0153 Review complete. I found no blocking issue in the two CPU tests.

The new tests add useful CI coverage:

  • test_torch_load_map_location_reconciles_claimed_device forces stale "cuda:0" metadata on a CPU-resident DirectPosterior.
  • It exercises the reconciliation branch in NeuralPosterior.__setstate__.
  • It verifies posterior metadata, potential-function state, estimator parameter devices, sample(), and potential().
  • test_torch_load_map_location_same_device_is_passthrough covers the no-reconciliation path for a CPU round trip.

The CPU tests correctly test the branch logic without GPU hardware. The GPU-marked tests remain necessary to verify real cross-device storage remapping.

CI, type checking, linting, and codecov/patch are successful. The PR remains blocked only by the required maintainer review.

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Review finished.

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coderabbitai Bot commented Aug 14, 2026

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repo="sbi-dev/sbi"
pr="1972"

echo '=== Pull request state, review decision, and checks ==='
gh pr view "$pr" --repo "$repo" \
  --json headRefOid,state,isDraft,mergeStateStatus,reviewDecision,statusCheckRollup,reviews \
  --jq '{headRefOid,state,isDraft,mergeStateStatus,reviewDecision,statusCheckRollup,reviews}'

echo '=== Changed files ==='
gh pr view "$pr" --repo "$repo" --json files \
  --jq '.files[] | {path, additions, deletions}'

echo '=== Focused diff ==='
git diff --unified=60 origin/main...HEAD -- \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== Relevant source outline ==='
ast-grep outline tests/save_and_load_test.py --items all --match 'torch_load|map_location|device|load'
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match 'NeuralPosterior|__setstate__'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match 'VIPosterior|__setstate__'
ast-grep outline sbi/utils/torchutils.py --items all --match 'canonical_device|infer_tensor_device'

echo '=== Relevant test and implementation contexts ==='
rg -n -A100 -B12 \
  'def test_.*map_location|def __setstate__|def infer_tensor_device|def canonical_device' \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== Unresolved review comments ==='
gh api --paginate "repos/$repo/pulls/$pr/comments" \
  --jq '.[] | select(.position != null) | {user:.user.login,path,line,body,html_url}'

Length of output: 60215


@BHARATH0153 Review complete. I cannot approve this pull request yet.

All current CI, linting, type checking, license, and Codecov checks pass. The two CPU tests provide useful coverage for both the reconciliation branch and the same-device branch.

One valid issue remains in tests/save_and_load_test.py:

  • Line 191 and Line 217 keep NamedTemporaryFile open.
  • The tests then reopen the same path through torch.save(..., f.name) and torch.load(f.name, ...).
  • This can fail on Windows because NamedTemporaryFile can prevent reopening its path while it is open.

Use the open file handle for both operations. Flush and rewind it before torch.load:

with tempfile.NamedTemporaryFile(suffix=".pt") as f:
    torch.save(posterior, f)
    f.flush()
    f.seek(0)
    loaded = torch.load(f, weights_only=False, map_location="cpu")

Apply this change to both new tests. After that change, request another review.

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#!/bin/bash
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repo="sbi-dev/sbi"
pr="1972"

echo '=== PR status and checks ==='
gh pr view "$pr" --repo "$repo" \
  --json state,isDraft,headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,reviews \
  --jq '{state,isDraft,headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,reviews}'

echo '=== Changed files ==='
gh pr view "$pr" --repo "$repo" --json files \
  --jq '.files[] | {path, additions, deletions}'

echo '=== Focused diff ==='
git diff --unified=70 origin/main...HEAD -- \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== Test and restoration source maps ==='
ast-grep outline tests/save_and_load_test.py --items all --match 'map_location|load|NamedTemporaryFile'
ast-grep outline sbi/inference/posteriors/base_posterior.py --items all --match 'NeuralPosterior|__setstate__'
ast-grep outline sbi/inference/posteriors/vi_posterior.py --items all --match 'VIPosterior|__setstate__'
ast-grep outline sbi/utils/torchutils.py --items all --match 'canonical_device|infer_tensor_device'

echo '=== Relevant implementations ==='
rg -n -A110 -B15 \
  'NamedTemporaryFile|def test_.*map_location|def __setstate__|def infer_tensor_device' \
  tests/save_and_load_test.py \
  sbi/inference/posteriors/base_posterior.py \
  sbi/inference/posteriors/vi_posterior.py \
  sbi/utils/torchutils.py

echo '=== Active review comments ==='
gh api --paginate "repos/$repo/pulls/$pr/comments" \
  --jq '.[] | select(.position != null) | {user:.user.login,path,line,body,html_url}'

Length of output: 56538


@BHARATH0153 The previous Windows portability issue is fixed.

Both CPU tests now use the open NamedTemporaryFile handle for torch.save() and torch.load(). They also flush and rewind the handle before loading.

I found no blocking code issue in the current diff.

I cannot approve yet. The CI matrix and the CodeRabbit check are still in progress. GitHub also reports REVIEW_REQUIRED. Request approval again after all required checks complete successfully.

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#!/bin/bash
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repo="sbi-dev/sbi"
pr="1972"

echo '=== Pull request status and checks ==='
gh pr view "$pr" --repo "$repo" \
  --json state,isDraft,headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,reviews \
  --jq '{state,isDraft,headRefOid,mergeStateStatus,reviewDecision,statusCheckRollup,reviews}'

echo '=== Active inline review comments ==='
gh api --paginate "repos/$repo/pulls/$pr/comments" \
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Length of output: 15051


🏁 Script executed:

#!/bin/bash
set -euo pipefail

echo '=== Current mapped-load test structure ==='
ast-grep outline tests/save_and_load_test.py --items all --match 'map_location|NamedTemporaryFile'

echo '=== Current mapped-load test code ==='
sed -n '175,230p' tests/save_and_load_test.py

echo '=== PR diff for mapped-load tests ==='
git diff --unified=25 origin/main...HEAD -- tests/save_and_load_test.py

Length of output: 7250


@BHARATH0153 Approved.

The current code fixes the Windows temporary-file issue. All reported checks passed. I found no blocking issue.

[approve]

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@BHARATH0153
BHARATH0153 marked this pull request as draft August 14, 2026 10:47
@BHARATH0153
BHARATH0153 marked this pull request as ready for review August 14, 2026 10:48
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posterior._device goes stale after loading with torch.load(map_location=...)

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