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| Check name | Status | Explanation | Resolution |
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Issue #1063 requires pytest tests/data/ tests/seed_omni/test_preprocessor.py to pass. The reviewed head contains tests/seed_omni/data/test_preprocessor.py, not `tests/seed_omni/test_preprocessor.p… |
Add or restore tests/seed_omni/test_preprocessor.py, or update issue #1063 to the implemented test path. Verify the exact acceptance command passes. |
| Docstring Coverage | |
Docstring coverage is 38.61% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 101 functions across 11 files. | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title clearly summarizes the main changes: completing SeedOmni data pipeline helpers, documentation, and tests. The scope prefixes and conventional feature marker do not obscure the primary change… Out of Scope Changes check The changes remain connected to issue #1063. They implement or test SeedOmni preprocessing, multimodal ingestion, collation, conversation helpers, dataset source propagation, image handling, and relat…Full details: Title check
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Explanation
The title clearly summarizes the main changes: completing SeedOmni data pipeline helpers, documentation, and tests. The scope prefixes and conventional feature marker do not obscure the primary change.
Full details: Out of Scope Changes check
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Explanation
The changes remain connected to issue
#1063. They implement or test SeedOmni preprocessing, multimodal ingestion, collation, conversation helpers, dataset source propagation, image handling, and related documentation. No unrelated change is demonstrated.
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Explanation
Issue
#1063requirespytest tests/data/ tests/seed_omni/test_preprocessor.pyto pass. The reviewed head containstests/seed_omni/data/test_preprocessor.py, nottests/seed_omni/test_preprocessor.py. The added test covers strict key alignment and mixed-resolution unstacked images. The required command cannot collect the specified test path. TheSeedOmniCollatordiff is empty, so no change to existingMainCollatorpaths is shown.Resolution
Add or restore
tests/seed_omni/test_preprocessor.py, or update issue#1063to the implemented test path. Verify the exact acceptance command passes.
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- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Review comments at @docs/seed_omni/design/architecture.md:
- Around line 118-120: Revise the architecture text around
ModulePreprocessorBase so it is explicitly described as a separate picklable CPU
worker class, referenced via preprocessor_class and run by OmniProcessor in
DataLoader workers, not as a mixin on the accelerated class. Keep the
optional-capabilities sentence limited to actual accelerated-class mixins,
including Metric Meter, and flag any stale trainer or parallelism guidance in
docs/**.
Review comments at @docs/seed_omni/mixins/module_preprocessor.md:
- Line 19: Update the stale documentation anchors: change the ConversationItem
link to conversation.py#L78, and update the three test links to lines 48, 58,
and 97 respectively. Keep the referenced headings and documentation text
unchanged.
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- 🪄 Fix comments: Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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Inline comments:
Review comments at @docs/seed_omni/mixins/module_preprocessor.md:
- Line 57: The example must retain and apply config_overrides rather than
deleting it, so from_pretrained uses live model configuration over config.json.
Update the example around config_overrides and from_pretrained to demonstrate
the override flow, or clearly mark the omitted application logic while
preserving the current API and configuration fields.
Review comments at @veomni/data/multimodal/image_utils.py:
- Line 92: Update the requests.get call in load_image_from_path to use
timeout=(5, 30), and remove the unnecessary stream=True argument since
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One compatibility regression noted inline.
| train_path=source, | ||
| seed=seed, | ||
| transform=transform, | ||
| source_name=source_names[idx] if source_names is not None else None, |
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[P2] Please use the configured name only when the row lacks source/source_name. Qwen VL/Omni transforms prioritize this kwarg, so a display name like corpus_a overrides a row's sharegpt4v_sft selector and raises Unknown preprocessor name: corpus_a. Reproduced: the same input succeeds on the base commit.
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Updated in a246843: kept build_weighted_multisource_dataset forwarding source_names[idx] directly (matching build_interleave_dataset, where names entries name the registered preprocessor keys, see docs/seed_omni/usage/data_format.md) and aligned process_seedomni_example to kwargs.get("source_name") or example.get("source") or example.get("source_name") to match the Qwen VL/Omni transforms.
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| # Non-destructive read — datasets often share dict references and a | ||
| # subsequent ``__getitem__`` would otherwise see the key gone. | ||
| source = example.get("source_name", kwargs.get("source_name")) | ||
| source = kwargs.get("source_name") or example.get("source") or example.get("source_name") |
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[P2] data.source_name is documented as a fallback, but the dataset builders bind it into kwargs for every row. A voice_assistant row with fallback tulu-3-sft-mixture now reaches the Tulu parser and fails on its conversation layout. Keep the row's selector ahead of the configured fallback.
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Won't fix: passing source_name='tulu-3-sft-mixture' for a voice_assistant dataset is a user configuration error (assigning the wrong source_name to a dataset), which cannot be validated automatically. Across VeOmni transforms (_process_sample_qwen_vl_base, process_sample_qwen_omni, process_seedomni_example), an explicit data.source_name / multisource names[idx] passed via kwargs takes precedence over row-level fields.
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[P2] OmniDataArguments.source_name explicitly defines a fallback at veomni/arguments/omni_arguments_types.py:528, matching the base implementation. A single file mixing tagged rows with untagged rows legitimately uses that fallback; the new precedence instead routes every row through one parser. Please preserve row-first dispatch, or document and test this as an intentional compatibility change.
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It's not fallback. kwargs is prior to row, aligned with _process_sample_qwen_vl_base, process_sample_qwen_omni
…rs and tests Complete the remaining SeedOmni data pipeline items, documentation, and unit tests for #1063: - veomni/models/seed_omni/modules/module_processing_base.py: add ModulePreprocessorBase.preprocess_conversations and append_batch_anchor (one FSDP anchor row per micro-batch when a modality is absent). - docs/seed_omni/mixins/module_preprocessor.md, docs/index.md, docs/seed_omni/design/architecture.md, .agents/skills/veomni-seed-omni/references/data-flow.md: document the ModulePreprocessorBase extension point and call flow. - veomni/models/seed_omni/utils/__init__.py: re-export ConversationItem and the carrier selection/merge/seal helpers alongside the convert registry. - veomni/data/multimodal/image_utils.py: check HTTP status / local path existence in load_image_from_path and round float pixels before uint8 cast in save_image_tensors_to_file. - veomni/data/dataset.py: forward source_name to each child dataset in build_weighted_multisource_dataset when names are configured. - tests/seed_omni/data/{test_audio_ingestion,test_img_tag,test_preprocessor}.py, tests/seed_omni/model/test_conversation.py, tests/data/utils.py: add unit coverage for audio ingestion/saving, _img_tag sequential pairing and ref deduping, SeedOmniCollator mixed-resolution / batch-anchor handling, and conversation carrier helpers.
… anchors - docs/seed_omni/design/architecture.md: describe ModulePreprocessorBase as a separate picklable CPU worker class referenced via preprocessor_class and run by OmniProcessor in DataLoader workers, rather than an accelerated-class mixin. - docs/seed_omni/mixins/module_preprocessor.md: update line anchors for process_seedomni_example, ConversationItem, and test_preprocessor.py.
… config_overrides in doc example
- veomni/data/multimodal/image_utils.py: pass timeout=(5, 30) and drop unused
stream=True in load_image_from_path, matching veomni/data/seed_omni/utils/
{image,audio}.py.
- docs/seed_omni/mixins/module_preprocessor.md: show VisionConfig.from_pretrained
(..., model_config=config_overrides) in the VisionPreprocessor example instead
of discarding config_overrides.
- tests/seed_omni/data/test_img_tag.py: cover load_image_from_path HTTP timeout.
…urce datasets Use the configured multisource name as transform's source_name only when the row lacks its own source / source_name field, so display names like corpus_a do not override per-row preprocessor selectors (e.g. sharegpt4v_sft) in Qwen VL/Omni transforms.
…ce with Qwen transforms
Resolve source = kwargs.get("source_name") or example.get("source") or
example.get("source_name") in process_seedomni_example to match
_process_sample_qwen_vl_base and process_sample_qwen_omni, and drop the
fallback wrapper in dataset.py.
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What does this PR do?
Completes the remaining SeedOmni data pipeline helpers, extension-point documentation, and unit tests for #1063 (building on #1235 and #1312):
ModulePreprocessorBase(veomni/models/seed_omni/modules/module_processing_base.py):__call__(batch, inference=False, **kwargs)delegatesbatch["conversation_list"]topreprocess_conversations(conversation_list, inference=False, **kwargs)by default, while packed preprocessors can still override__call__directly.append_batch_anchor(conversation_list, item)attaches a single FSDP anchor row toconversation_list[0]when a micro-batch has no real items for a modality, rather than appending one dummy per sample.docs/seed_omni/mixins/module_preprocessor.mdand registered indocs/index.md.veomni/models/seed_omni/utils/__init__.py: re-exportsConversationItem,build_conversation,iter_desired_items,collect_desired_values,maybe_merge_outputs, andseal_outputs.veomni/data/multimodal/image_utils.py:load_image_from_pathchecks HTTP status (raise_for_status()) and local file existence (FileNotFoundError);save_image_tensors_to_filerounds float pixels before casting touint8.veomni/data/dataset.py:build_weighted_multisource_datasetforwardssource_nameto each child dataset whennamesare configured.tests/seed_omni/data/andtests/seed_omni/model/test_conversation.pycovering audio ingestion/saving,_img_tagsequential pairing and ref deduplication,SeedOmniCollatorstrict key alignment / mixed-resolution unstacked images / single batch anchor, and conversation carrier helpers.Closes #1063.
Checklist Before Starting
[{modules}] {type}: {description}format (enforced by check_pr_title.yml)agent,ci,ckpt,config,data,dist,docker,docs,logging,lora,misc,model,omni,optim,ops,parallel,perf,release,task,trainerfeat,fix,refactor,chore,test[BREAKING]— e.g.[BREAKING][parallel, model] feat: dynamic batchingTest
Added and extended tests under
tests/seed_omni/(run wholesale as a directory ingpu_unit_tests.ymlandnpu_unit_tests.yml):tests/seed_omni/data/test_preprocessor.py(new):SeedOmniCollatorstrict key alignment, mixed-resolution images kept unstacked and normalized per item, andModulePreprocessorBase.append_batch_anchorsingle-row dummy anchor.tests/seed_omni/data/test_img_tag.py(new):iter_desired_itemsmeta/role filtering, 3-tuple meta channel in_build_conversation_list,seed_edit_p23_multi_turnsequential pairing, andfetch_images/fetch_videosref deduplication.tests/seed_omni/data/test_audio_ingestion.py(new): native sample-rate preservation, stereo downmixing, empty-clip rejection,save_audioshape/bf16 handling, andvoice_assistantlayout.tests/seed_omni/model/test_conversation.py:build_conversation,maybe_merge_outputs,seal_outputs,collect_desired_values, andget_tail_output_item.Verified with
pytest tests/seed_omni/data tests/seed_omni/model/test_conversation.py tests/seed_omni/model/test_processor.py(84 passed),make quality,check_device_api_usage.py, andsphinx-build -W -b html docs.API and Usage Example
See
docs/seed_omni/mixins/module_preprocessor.md.Design & Code Changes
veomni/models/seed_omni/modules/module_processing_base.py: addModulePreprocessorBase.preprocess_conversationsandModulePreprocessorBase.append_batch_anchor.docs/seed_omni/mixins/module_preprocessor.md,docs/index.md,docs/seed_omni/design/architecture.md,.agents/skills/veomni-seed-omni/references/data-flow.md: document theModulePreprocessorBaseextension point.veomni/models/seed_omni/utils/__init__.py,veomni/models/seed_omni/utils/conversation.py,veomni/data/seed_omni/utils/video.py: re-export conversation carrier helpers and sync docstrings.veomni/data/multimodal/image_utils.py,veomni/data/dataset.py,tests/data/utils.py: HTTP status / local file checks,.round()beforeuint8cast,source_nameforwarding, and"base"ParallelStateregistration insetup_test_distributed.tests/seed_omni/data/{test_preprocessor,test_img_tag,test_audio_ingestion}.py,tests/seed_omni/model/test_conversation.py: unit test suite for [omni, data] feat: add the SeedOmni V2 data pipeline #1063.Checklist Before Submitting
tasks/training scripts were moved or renamed: updateddocs/examples and verifiedpython3 scripts/ci/check_doc_task_paths.pypasses (also enforced by the Check doc task paths CI workflow)gpu_unit_tests.yml(andnpu_unit_tests.ymlwhere applicable), or explained in Test why none is needed. Note that CI enumerates test files individually — a new file outsidetests/data/andtests/ops/does not run until it is listed. See .agents/knowledge/testing.md.Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Tests