Shriya Rishab comments

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                                            Shriya Rishab

Add mcore full TE transformer layer spec

jenkins

Add requirement to support checkpointing in reference

Closing as an updated version will be reviewed as part of [PR545](https://github.com/mlcommons/training_policies/pull/545)

Update reference HW platform

Closing as duplicate of PR [544](https://github.com/mlcommons/training_policies/pull/544)

error run the rnn speech workload, failed to process data after enter docker

Sorry but the rnnt benchmark is dropped from the training benchmarks suite so this issue cannot be addressed at this time.

Ask for the access to download the checkpoint of LLM

All required data can be downloaded using instructions in the [S3 artifacts download section](https://github.com/mlcommons/training/blob/master/large_language_model/megatron-lm/README.md#s3-artifacts-download) of the README.

run stable diffusion see no space left on device error

Closing due to inactivity. Please create a new issue if the problem persists

Image Segmentation: Data Preprocessing Verification -- Checksum fails

There were multiple reasons taken into consideration before dropping unet3d from the training benchmark suite. In case you are interested, the training WG meets weekly and decisions regarding which benchmarks...

failed to build object_detection container with below error on FedoraOS37

Sorry but the maskrcnn benchmark is dropped from the training benchmarks suite so this issue cannot be addressed at this time.

DLRM criteo day23 MD5 varify faild

Could you please share steps to reproduce this failure?

docker run error for image_segmentation/pytorch test following the guide

Sorry but the unet3d benchmark is dropped from the training benchmarks suite so this issue cannot be addressed at this time.