[serge] Fix 10 integration tests for model glm_ocr failing with output_mismatch (list output differs (10))#46986
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[serge] Fix 10 integration tests for model glm_ocr failing with output_mismatch (list output differs (10))#46986sergereview[bot] wants to merge 2 commits into
glm_ocr failing with output_mismatch (list output differs (10))#46986sergereview[bot] wants to merge 2 commits into
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…tput_mismatch` (list output differs (10))
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…tput_mismatch` (list output differs (10))
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[For maintainers] Suggested jobs to run (before merge) run-slow: glm_ocr |
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CI recapDashboard: View test results in Grafana |
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Original CI failure
1/1: 10 integration tests for modelglm_ocrfailing withoutput_mismatch(list output differs (10))tests/models/glm_ocr/test_modeling_glm_ocr.py::GlmOcrIntegrationTest::test_small_model_integration_test_batch[multi-gpu] (output_mismatch, seen 7/7)Relates to #46985
The GLM-OCR integration tests generate outputs consisting of repeated
<|image|>tokens instead of coherent text, indicating image features are not being processed.GlmOcrModelinmodular_glm_ocr.pycurrently inheritsGlm4vModel.__init__unchanged, which instantiatesGlm4vVisionModelandGlm4vTextModelrather than the OCR-specific subclasses. This patch overridesGlmOcrModel.__init__to buildGlmOcrVisionModelandGlmOcrTextModelso the correct vision/text architectures are used during generation.This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging.
serge
v0.1.0· model:moonshotai/Kimi-K2.7-Code· 27 LLM turns · 30 tool calls · 109.5s · 601838 in / 6474 out tokens