Commit Graph
7 Commits
Author SHA1 Message Date
Keval Morabia 53a2ddebab Product Rename: TensorRT Model Optimizer to Model Optimizer (#583)
- [x] Product Rename: TensorRT Model Optimizer to Model Optimizer
(OMNIML-3033)
- [x] Mention in Latest News section with date on the date of merging
this PR (12/08)

Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2025-12-07 12:33:21 +05:30
Shengliang XuandKeval Morabia e0a6efbe70 fix trt engine building of the diffusers pipelines (#637)
## What does this PR do?

**Type of change:**

Bug fix

**Overview:**

1. The diffusion_trt.py needs the dynamic_shapes when running trtexec
for engine building. A previous change altered the format of
dynamic_shapes, fix it here.

2. the dynamic_shapes logic gets cleaned up. The existing logic is very
confusing

3. recover min-batch_size config for some pipelines. Previously some
pipelines set the min batch_size to be > 1, which was odd, so a previous
change sets them to be 1, but it turns out the oddity has a reason, the
trt engine building fails with the altered batch_size min/opt, thus
recover them.


## Testing

pytest tests/examples/diffusers

---------

Signed-off-by: Shengliang Xu <shengliangx@nvidia.com>
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
Co-authored-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2025-12-03 10:34:15 +00:00
ajrasane 229053323a [NVBUG: 5619158] Enforce high precision model dtype for diffusion trt (#526)
## What does this PR do?

**Type of change:** 
Minor code change

**Overview:** 
- Select the high precision dtype directly based on model type - FP16
for Stable Diffusion models, BF16 for Flux


## Testing
```python
python diffusion_trt.py --model flux-dev --benchmark
```

## Before your PR is "*Ready for review*"
<!-- If you haven't finished some of the above items you can still open
`Draft` PR. -->

- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: No (No option to specify
dtype while loading pipeline)
- **Did you write any new necessary tests?**: No
- **Did you add or update any necessary documentation?**: Yes
- **Did you update
[Changelog](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CHANGELOG.rst)?**:
Yes

---------

Signed-off-by: ajrasane <131806219+ajrasane@users.noreply.github.com>
2025-11-06 23:44:37 -08:00
Keval Morabia c0590b0255 Deprecate ModelOpt custom docker and directly use TRT-LLM / PyTorch / TRT docker (#346)
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2025-09-23 01:43:25 +05:30
Keval Morabia 1ef1d72a1b Code quality improvements - typos, formatting, etc.
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2025-09-02 19:58:33 +05:30
Keval Morabia 4d1eb0caf5 Major improvement of READMEs and documentation
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2025-08-30 10:54:28 +05:30
Keval Morabia 2017cd9063 Update for 0.25.0 release 2025-03-03 22:54:22 +05:30