nvyihengz
nvyihengz
I am getting similar errors with scipy==1.9.1. In my case it seems that the root cause is numpy>=1.23 used.
Hi, a few things that affect the performance we need to check: - Did you successfully flash the image and install all components from the [22.08 Jetson CUDA-X AI Developer...
`cm pull repo ctuning@mlcommons-ck` Does every submitter need to use the ctuning account or they can use their own accounts?
Known affected workloads @mrmhodak @pgmpablo157321 SDXL https://github.com/mlcommons/inference/tree/master/text_to_image GPTJ https://github.com/mlcommons/inference/tree/master/language/gpt-j DLRMv2 https://github.com/mlcommons/inference/tree/master/recommendation/dlrm_v2/pytorch#downloading-model-weights
Also I think the taskforce agreed to not disclose the compliance images to the public.
Performance-wise currently we don't have attention kernels optimized for such masks. Functional wise it should work but the attention might not be fused.
Hi, https://github.com/mlcommons/inference_results_v3.1/blob/main/closed/NVIDIA/Makefile.docker#L142 BASE_IMAGE is public, please check if you can download it via docker pull.
Can we have this merged by today?
@pgmpablo157321 gentle ping regarding enabling TEST04
@mrmhodak Could you help merge this PR?