ajrasane 4826fb7554 Use minimum TensorRT build optimization in diffusers tests ...

Honor explicit builder optimization levels for low-precision and strongly typed engines while preserving existing defaults when omitted. Pass level 0 from every diffusers TensorRT test and cover the override and default behavior.

Signed-off-by: ajrasane <131806219+ajrasane@users.noreply.github.com>

2026-09-29 22:47:01 +00:00

..

deploy

fix(llm_eval): repair test_qwen3_eval_fp8 end-to-end (#1650)

2026-06-08 18:11:51 +00:00

onnx

[5565357] Fix SDXL NVFP4 export and performance (#2336)

2026-09-18 17:22:28 +00:00

recipe

[OMNIML-5570] 2/2 Compose GEMM and KV-cache AutoQuant workflows (#2273)

2026-09-29 00:15:40 +00:00

torch

Use minimum TensorRT build optimization in diffusers tests

2026-09-29 22:47:01 +00:00

__init__.py

Add experimental support for transformers>=5.0 + min torch 2.8 (#975)

2026-04-09 09:59:37 +05:30