TensorRT-LLMs/tests/unittest/_torch/multimodal
William Zhang abb8106c01 [https://nvbugs/5835925][fix] Add EPD disagg support for Qwen3 VL MoE (#10962)
* Why?

Trying to instantiate a `MultimodalEncoder` for a Qwen3 VL MoE model
would fail during weight loading.

* What?

This commit fixes the bug, alongside:
- explicit, intentional support for EPD for Qwen3 VL MoE.
- extends EPD unit tests for Qwen3 VL MoE, albeit with dummy weights.
- unit tests for the weight mapper fixes.

Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
2026-02-09 23:53:40 +08:00
..
test_external_embedding.py [None][fix] InputProcessor config naming convention fix (#8705) 2025-11-03 22:29:21 -08:00
test_find_num_image_tokens.py [None][fix] InputProcessor config naming convention fix (#8705) 2025-11-03 22:29:21 -08:00
test_fuse_input_embeds.py [TRTLLM-7440][fix] Split fused_input_embed to separate out host sync (#7280) 2025-09-06 23:11:39 -04:00
test_mm_encoder_standalone.py [https://nvbugs/5835925][fix] Add EPD disagg support for Qwen3 VL MoE (#10962) 2026-02-09 23:53:40 +08:00
test_multimodal_runtime.py [TRTLLM-6903][feat] Support chunked prefill for multimodal models (#6843) 2025-09-14 20:10:10 -07:00
test_share_multiparams.py [TRTLLM-7385][feat] Optimize Qwen2/2.5-VL performance (#7250) 2025-09-22 03:40:02 -07:00