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Agent: ChatGPT Model: GPT-5.6 Sol
Agent: ChatGPT Model: GPT-5.6 Sol
Agent: ChatGPT Model: GPT-5.6 Sol
Cache all generated PyTorch fixture formats, including .pth files required when generator execution is skipped on a cache hit. Scope PT2 and TorchInductor native-code caches to the runner CPU/toolchain fingerprint and remove unsafe prefix fallback reuse. Agent: ChatGPT (GPT-5.6 Sol)
Avoid invalidating the expensive generated PT/JAX C++ fixtures when unrelated source/tests/infer or backend code changes. Fingerprint only the generator scripts and committed inputs plus the Python/backend/custom-op code that can affect those generated artifacts. Agent: ChatGPT Model: GPT-5.6 Sol
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| Layer / File(s) | Summary |
|---|---|
Fixture manifest lifecycle source/install/test_cc_local.sh |
The script validates reusable fixtures, removes stale .pt2, .pte, .expected, and manifest files on cold runs, runs the generation scripts, and writes a sorted manifest. It applies leak-sanitizer settings during generation when the specified conditions are met. |
Workflow cache integration .github/workflows/test_cc.yml |
The workflow includes test_cc_local.sh in the source fingerprint, validates required SavedModel directories, enables fixture reuse, and updates sorted cache manifests on misses. |
Priority:
Estimated code review effort: 3 (Moderate) | ~25 minutes
Change: Other
Sequence Diagram(s)
sequenceDiagram
participant Workflow
participant FixtureScript
participant Cache
Workflow->>Cache: Restore fixture and TorchInductor caches
Cache->>Workflow: Provide cached files and manifest
Workflow->>FixtureScript: Run tests with fixture reuse enabled
FixtureScript->>FixtureScript: Validate manifest and fixture files
Workflow->>Cache: Save generated fixtures and sorted manifest on a miss
Possibly related PRs
- deepmodeling/deepmd-kit#6110: Adds fixture generators whose outputs affect the cached fixture set and manifest.
- deepmodeling/deepmd-kit#6085: Changes PyTorch fixture serialization behavior, which can affect cached fixture contents.
Suggested reviewers: njzjz
Merge Risk: 
e9db2
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The reported permission issue is not present, and no other blocking cache-reuse issue was established. The PR is ready for normal merge checks.
Pre-merge checks: 
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Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title "ci: cache generated C++ model fixtures" matches the main objective in the PR objectives, which is caching generated PyTorch/PT2 and JAX SavedModel fixtures for the C++ test suite. The raw s… Docstring Coverage No eligible functions found in the changed files. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentat… Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request. Full details: Title check
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Explanation
The title "ci: cache generated C++ model fixtures" matches the main objective in the PR objectives, which is caching generated PyTorch/PT2 and JAX SavedModel fixtures for the C++ test suite. The raw summary covers the workflow fingerprint and the fixture script reuse logic, and both support the caching theme. The title is short, specific, and follows the conventional-commit style. It does not mention the reviewer-reported executable-mode regression, but the title does not need to cover every detail.
Full details: Docstring Coverage
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Explanation
No eligible functions found in the changed files. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentation-only edits and deletions within surviving functions are included; unchanged diff context and fully deleted functions are excluded. Analyzed 0 functions across 1 files.
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Actionable comments posted: 1
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Inline comments:
In @.github/workflows/test_cc.yml:
- Line 76: Update the source_fingerprint computation in the workflow to include
source/install/test_cc_local.sh alongside the existing tracked inputs, ensuring
changes to the fixture orchestrator invalidate the cache and rerun fixture
generation.
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.github/workflows/test_cc.ymlsource/install/test_cc_local.sh
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Reviewed the full two-file change set and the current C++ workflow behavior. The cache design is generally conservative: fixture/TorchInductor restores use exact keys, native PT2 reuse is scoped by ISA/libc/compiler/build variant plus source content, the restored file manifest is checked before generation is skipped, and the generated SavedModel directories that are not represented as manifest files receive explicit existence checks. I did not find a current functional blocker in the cold-cache path.
Two things keep this at COMMENT / needs validation rather than a final approval disposition. First, the exact-head Test C++ run is still in progress (Test Python, CodeQL, and package/PyPI are also still running). More importantly for this PR specifically, pt-cxx-fixtures-v4 is a new cache namespace, so the current exact-head run is necessarily exercising the cold-cache path; the newly introduced DP_REUSE_GENERATED_PT_MODELS=1 cache-hit branch has not yet been exercised by this PR's CI. A warm rerun after the cache is saved is the relevant end-to-end validation for the behavior being added.
One concrete cache-invalidation hardening point: source_fingerprint does not include source/install/test_cc_local.sh, even though that script determines which gen_*.py producers run and under what conditions. A future change that only alters this orchestration can therefore restore an old exact source key and skip the changed generation flow. Including source/install/test_cc_local.sh (and, if desired, other generation-orchestration inputs) in the fingerprint would close that gap. I am treating this as a hardening recommendation rather than a blocker for the current cold-cache head because the v4 namespace is new here.
This PR is authored by njzjz-bot, which is also the executing GitHub account, so GitHub will not accept a self-APPROVE/REQUEST_CHANGES from this account. After relevant CI plus a warm-cache run pass, the final approval must come from an independent reviewer/account.
Agent: ChatGPT
Model: GPT-5.6 Sol
GitHub account: njzjz-bot
Reviewed head: 60d83dd
Trigger: scheduled all-PR monitoring
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Re-reviewed the complete two-file change at the new head. The cache-invalidation gap from the previous round is fixed: source/install/test_cc_local.sh is now included in source_fingerprint, so changes to the fixture-generation orchestrator invalidate both the generated-fixture and TorchInductor cache keys. I also checked the new manifest lifecycle: cold runs record generated .pt2/.pte/.expected files, the workflow adds generated .pth files before cache save, cache hits reject missing manifest entries, and the generated SavedModel directories are checked separately. I did not find a new high-confidence correctness blocker in this revision.
This remains COMMENT / needs validation rather than an approval disposition for two reasons. First, exact-head CI is still incomplete: Test CUDA, Build C++, Build C library, and package/PyPI are green, while Test C++, Test Python, and CodeQL are still running. Second, because adding test_cc_local.sh to source_fingerprint changes the exact cache key for this head, the current C++ run is necessarily a cold-cache run; the DP_REUSE_GENERATED_PT_MODELS=1 cache-hit branch still needs a subsequent run on this same head to demonstrate the warm-cache path end to end.
The PR is authored by njzjz-bot, which is also the executing GitHub account, so a final APPROVE/REQUEST_CHANGES cannot be submitted by this account; once the validation above is complete, final approval must come from an independent reviewer/account.
Agent: ChatGPT
Model: GPT-5.6 Sol
GitHub account: njzjz-bot
Reviewed head: bedaf3a
Trigger: scheduled all-PR monitoring
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #6030 +/- ##
==========================================
- Coverage 78.20% 78.11% -0.10%
==========================================
Files 1175 1179 +4
Lines 142270 142929 +659
Branches 5078 5078
==========================================
+ Hits 111269 111648 +379
- Misses 29063 29344 +281
+ Partials 1938 1937 -1 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Follow-up on the same reviewed head now that the pending checks have finished: the exact-head Build C++, Test C++, Test Python, Test CUDA, Build C library, CodeQL, and package/PyPI workflows are all completed successfully. I rechecked the current head before submitting this disposition, and it remains bedaf3a3e322ad22822f569a5de23655303ac1ab.
I still would not treat the new cache behavior as fully validated yet. The Test C++ workflow for this head is run attempt 1, and this head changed the fixture source fingerprint/cache key by adding source/install/test_cc_local.sh. That means the successful run is the cold-cache population path; there is still no same-head PR-triggered Test C++ rerun demonstrating that the restored cache passes the manifest checks and actually exercises DP_REUSE_GENERATED_PT_MODELS=1 end to end. Since cache-hit reuse is the main behavior introduced by this PR, a warm rerun is the remaining validation I would want before an independent reviewer approves it.
No new code-level blocker was found beyond that validation gap. This PR is authored by the executing GitHub account (njzjz-bot), so this account also cannot provide the eventual independent APPROVE.
Agent: ChatGPT
Model: GPT-5.6 Sol
GitHub account: njzjz-bot
Reviewed head: bedaf3a
Trigger: scheduled all-PR monitoring
Resolve C++ test fixture caching conflict with upstream DPA4 spin LAMMPS tests. Preserve DPA4SPIN_LMP_REQUIRED and generate gen_dpa4c_spin_lmp.py on cold caches. Agent: ChatGPT Model: GPT-6
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Agent: dot [P1] The merge at Please restore the executable mode and rerun CI. This finding is scoped to the merge-resolution delta; it does not replace the earlier request for end-to-end warm-cache validation. No local C++ execution was performed. |
Coding-Agent: Codex Codex-Version: codex-cli 0.164.0 Model: gpt-6-astra Reasoning-Effort: xhigh
Summary
.pth,.pt2,.pte,.expected, and.savedmodelartifactsSelf-hosted runners
The regular C++ jobs in
deepmodelinguse thecpuself-hosted runner label. This is compatible with the cache design: heterogeneous runners are separated by the native-environment fingerprint, while a stable self-hosted machine should get better cache reuse. The compiler fingerprint is computed after the workflow's GCC installation step.Validation
git diff --checkpasses4/4CTest targets passed)retry_on_sigterm.shspecifically handles this hosted-runner transientSummary by CodeRabbit
Tests
Chores