matthost

Is this still a problem in mmdet 3.x?

You figure this out? I am seeing slower speeds after upgrading, and perhaps it is other deps that were upgraded as well (MMdetection 2.x -> 3.3), but I happen to...

For those who need a workaround, and are doing Tasks, SageMaker Training jobs are somewhat like Fargate Tasks, and does support mounting FSx...

Workaround I have been using, if you are using SageMaker Pipelines: 1. Create the pipeline then convert to json ``` pipeline = Pipeline( sagemaker_session=pipeline_session, name=pipeline_name, parameters=parameters.sagemaker_params, steps=step_list, ) pipeline_json =...

We were using Mask Scoring RCNN in 2.x. Upgrading now. Noticed there are no longer configs for using mask scoring rcnn. No longer supported?

Did you end up getting it working in 3.x ?

In training I am seeing an error: ``` 2024-02-08T20:45:39.643Z | File "/opt/conda/lib/python3.10/site-packages/mmdet/models/roi_heads/standard_roi_head.py", line 140, in loss -- | --   | 2024-02-08T20:45:39.643Z | mask_results = self.mask_loss(x, sampling_results,   | 2024-02-08T20:45:39.643Z | File...

You solve this? Running into this error. Think I have everything setup for Torch-2.3.0, TensorRT 10.0.1, torch-tensorrt 2.3.0, all compiled with cuda 11.8. Also on Python 3.8. Though everywhere else...

I do use a source build of torch rather than a distribution, while trying to use a distribution for tensorrt, so wonder if it's the `use-cxx11-abi` thing...

I'm going to try moving to all prebuilt distros which seem to be working