AttributeError: \'Float8Tensor\' object has no attribute \'_fp8_attrs\'

[mpatel31415]

🐛 Bug

When using DDP with Dynamo+Thunder we get:

AttributeError: 'Float8Tensor' object has no attribute '_fp8_attrs'

This issue affects the following models:

'dolly-v2-3b', 'Mistral-7B-v0.1', 'tiny-llama-1.1b', 'stablecode-completion-alpha-3b', 'Phi-3-mini-4k-instruct', 'falcon-7b'

To Reproduce

Please use:
1 node with 8 GPUs.

Then execute:

torchrun --standalone --max-restarts=0 --no-python --nproc-per-node=8 python /opt/pytorch/lightning-thunder/thunder/benchmarks/benchmark_litgpt.py \
    --model_name Mistral-7B-v0.1 \
    --distributed_mode ddp \
    --shard_mode None \
    --compile dynamo_thunder \
    --checkpoint_activations False \
    --low_precision_mode fp8-delayed-te  \
    --micro_batch_size 1

Expected behavior

We should not get an error.

Environment

system.device_product_name DGXH100
system.gpu_driver_version 535.129.03
libraries.cuda 12.6.1.006
libraries.pip.lightning 2.4.0.dev20240728
libraries.pip.lightning-thunder 0.2.0.dev0
libraries.pip.lightning-utilities 0.11.7
libraries.pip.litgpt 0.4.11
libraries.pip.nvfuser 0.2.10+git91997b3
libraries.pip.pytorch-lightning 2.4.0
libraries.pip.torch 2.5.0a0+git9902b34
libraries.pip.torchmetrics 1.4.1
libraries.pip.torchvision 0.19.0a0+d23a6e1

[crcrpar]

rel: #1137