[2024-03-05 15:37:54,375] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect) [2024-03-05 15:37:54,398] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect) [2024-03-05 15:37:54,398] [INFO] [...
Setting ds_accelerator to cuda (auto detect) Running gcloud compute tpus tpu-vm ssh test-tpu --zone us-central1-a --command cd /usr/share; pip install accelerate -U; echo "hello world"; echo "this is a second command" --worker all Expected behavior A configurable option to silence th...
Figure 5. Optimized CUDA kernel by fusing transposition, filtering, sorting, and NMS NVIDIA also added support for running large convolutions and RetinaNet in the Deep Learning Accelerator (DLA) cores of NVIDIA Orin. Available now in DLA 3.12.1 and TensorRT 8.5.2, this support ...
(*) Per Accelerator performance for A100 computed using NVIDIA 8xA100 server time-to-train and multiplying it by 8 | Per Chip Performance comparisons to others arrived at by comparing performance at the closest similar scale. Per-Accelerator Records: BERT: 1.0-1033 | DLRM: 1.0-1037...
🐛 Describe the bug Hello, when I am using DDP to train a model, I found that using multi-task loss and gradient checkpointing at the same time can lead to gradient synchronization failure between GPUs, which in turn causes the parameters...
全迭代 CUDA 图 混合嵌入 将DLRM 扩展到多个节点的主要挑战之一是 NVLink 和 Infiniband 之间的 per- GPU all-to-all 带宽相差约 10 倍。这使得节点间的嵌入交换成为训练过程中的一个重要瓶颈。 为了解决这个问题, HugeCTR 实现了混合嵌入,这是一种新的嵌入设计,在进行前向传递的嵌入权值交换之...