fix: skip training with no expanded systems - #377
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ChangesEmpty training system handling
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to The change skips training and reuses the initial model for eligible empty-input cases, but zero-system runs in finetune mode or without an initial model can still attempt training, and reused task directories may retain stale or partially written artifacts. These bounded correctness and output-integrity risks need correction or explicit owner acceptance before merge. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Detect when initial and iteration artifacts expand to no DeePMD systems, preserve the supplied model, and avoid invoking dp train with an empty systems list. Closes deepmodeling#371 Coding-Agent: Codex Codex-Version: codex-cli 0.149.1 Model: gpt-5.6-sol Reasoning-Effort: xhigh
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #377 +/- ##
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+ Coverage 84.43% 84.73% +0.29%
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Files 104 104
Lines 6110 6118 +8
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+ Hits 5159 5184 +25
+ Misses 951 934 -17 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Retracted. This review was produced without running the mandated /code-review fan-out (the loop skill's section 2); the substitute process used instead has since been shown to miss findings and, in one case, to state a verified-sounding falsehood. Re-reviewing properly.
wanghan-iapcm
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The single-task fix is correct and I verified the diagnosis. Blocking on one root cause: the new training_systems_empty flag is not head-scoped, so in multitask mode it does not fire for the head that actually matters, and the multitask branch of the new logic has no test at all.
First, a correction from me. An earlier review of mine claimed this PR reverts #368 by removing the numb_old > 0 and numb_new > numb_old guard and deleting its two tests. That was wrong — my local master was stale at a commit predating #368, which made a reversed diff show phantom removals. 1fe99c3 (#368) is a direct ancestor of this branch, the guard is intact at line 248, both tests are present, and git merge-tree is clean. Please disregard it entirely.
The root cause
has_init_training_data asks "does any head have init data?" but the question that governs whether this run has anything to train on is "does the active head have data?". Fifteen lines below, the pre-existing code already answers it correctly:
if config["multitask"]:
head = config["head"]
len_init = len(init_data[head])The new check departs from that convention. In the canonical multitask layout — pretrained heads carrying the datasets, a new DPGEN head fed only by iterations — the active head is exactly the one with empty init_data. Driving RunDPTrain.execute directly with head="A", init_data={"A": [], "B": [<real system>]}, an init_model, and an iter_data entry expanding to zero systems:
run_command called: True
call(['dp', 'train', '--init-frz-model', '.../bar.pb', 'input.json'])
call(['dp', 'freeze', '-o', 'frozen_model.pb'])
head A training_data: {'systems': [], 'auto_prob': 'prob_sys_size'}
head B training_data: {'systems': ['init/B']}
That is issue #371's failure mode, reproduced at this PR's head. Scoping the check to the active head when config["multitask"] is set closes it.
Why the tests did not catch it
I mutated each branch of the new logic and re-ran the suite:
baseline Ran 28, OK
multitask/dict branch -> always True Ran 28, OK <- SURVIVES
list branch -> always True FAILED (errors=1) <- caught
The single-task branch is pinned; the multitask branch is not pinned by anything. grep finds no multitask coverage in this code path at all. A test with the shape above would fail today and pass after the fix.
On why this was invisible before the PR: TestRunDPTrainNullIterData.setUp has always built a non-empty init_data (init/data-0, init/data-1), and test_exec_v2_empty_dir asserts that dp train is invoked — rescued by that init data. The untested cell was "empty init_data crossed with iter_data expanding to zero", which is exactly what #371 reported.
Second blocker, same area
The and not training_systems_empty guard on line 239 does not do what the PR description credits it with. Details inline.
Not blocking
The comment on line 216 says an empty training command is "never run". It still is, for init_model is None and for finetune_mode == "finetune", both of which bypass the check. Those exemptions predate this PR and #371 scoped them out, so I am not asking you to fix them here — but the word "never" overstates the guarantee and will mislead the next reader. Scoping the sentence to the case actually handled would be enough.
Use only the active multitask head when deciding whether expanded training data is empty, and cover the inactive-head regression path. Coding-Agent: Codex Codex-Version: codex-cli 0.150.1 Model: gpt-5.6-sol Reasoning-Effort: xhigh
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Actionable comments posted: 1
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Inline comments:
In `@dpgen2/op/run_dp_train.py`:
- Around line 485-490: Update the control flow around the finetune bypass and
empty-system guard so training_systems_empty is handled first and never reaches
run_command() with zero systems. Reuse init_model only when that skip path is
valid; otherwise raise FatalError, including when finetune_mode is "finetune" or
init_model is None. Add regression coverage for both affected paths.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
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dpgen2/op/run_dp_train.pytests/op/test_run_dp_train.py
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All three points are addressed, verified against ba2fcad5 rather than taken on the reply. The head-scoped init_data.get(config["head"], []) fixes the multitask case, dropping the inert guard is right now that the KeyError is gone at its source, and the new multitask test genuinely pins it — the mutant that survived my last pass now fails. CI is green on both Python versions. Thanks for the quick turnaround.
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Summary
dp trainand propagate the supplied initial model in that stateprob_sys_sizefallbackTests
PYTHONPATH=tests python -m unittest -v tests.op.test_run_dp_train.TestRunDPTrainNullIterData.test_exec_v2_empty_list tests.op.test_run_dp_train.TestRunDPTrainNullIterData.test_exec_v2_empty_dir tests.op.test_run_dp_train.TestRunDPTrainNullIterData.test_exec_v2_fully_empty_training_systemsgit diff --checkCloses #371
Coding agent: Codex
Codex version: codex-cli 0.149.0
Model: gpt-5.6-sol
Reasoning effort: xhigh
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