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Implement get_num_mm_encoder_tokens/get_num_mm_connector_tokens for LlamaNemotronVLChatModel so the engine can size the tower/connector punica wrappers at startup and build per-image LoRA mappings. Without them, enabling enable_tower_connector_lora crashed engine init with a None token budget. Unlike InternVL, the vision features contain no CLS token: extract_feature reshapes the full sequence to an h x w grid, so the encoder processes exactly (image_size // patch_size)^2 tokens per tile and the connector sees num_image_token tokens per tile after pixel shuffle. Part of vllm-project#31479. Signed-off-by: Amit Kumar <dtu.amit@gmail.com>
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Purpose
Part of #31479: enable LoRA on the Llama Nemotron VL vision tower + connector.
get_num_mm_encoder_tokens()/get_num_mm_connector_tokens()forLlamaNemotronVLChatModelenable_tower_connector_lora=Truethe tower token budget resolved toNone, failing punica wrapper allocation withTypeError: empty(): argument 'size' must be tuple of ints, not NoneTypeextract_featurereshapes the full sequence to an h x w grid), so the encoder sees exactly(image_size // patch_size)^2tokens per tile and the connector seesnum_image_tokentokens per tile after pixel shuffleTest Plan
Test Result
Unit tests: 5 passed.
E2E: 1 passed on RTX 8000 serving
nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1withenable_tower_connector_lora=True; image descriptions correct. The same test on main crashes at engine init with the TypeError above.AI assistance: this PR was developed with assistance from Claude Code (Opus 5). All changes were reviewed line-by-line by the author, and all tests were run and verified by the author.