🐛 Describe the bug I am trying to collect log files generated during torch.compile execution for debugging purposes, but the files do not always appear. I created the following simple test script: import torch
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Fix only logging ir_post_fusion with torch_compile_debug enabled · pytorch/pytorch@9964f77
新知答主 代码被PyTorch官号宣传 | 我们近期推出的torch.compile debug工具depyf,被PyTorch官号宣传了✌🏻欢迎想尝试torch.compile的朋友使用,代码链接: 链接。 发布于 2023-10-26 23:55・IP 属地北京 赞同43 分享收藏 写下你的评论... 还没有评论,发表第一个评论吧登录知乎,您可以享受以...
NCCL Debug设置: # 打开debug export NCCL_DEBUG=INFO export NCCL_DEBUG_SUBSYS=ALL export TORCH_DISTRIBUTED_DEBUG=INFO export NCCL_DEBUG=INFO export NCCL_DEBUG_SUBSYS=INFO export TORCH_DISTRIBUTED_DEBUG=INFO torchrun分布式训练 参考:关于集群分布式torchrun命令踩坑记录(自用)-CSDN博客 官方文档 # V100*8...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Add option to save real tensors in TORCH_COMPILE_DEBUG repro · pytorch/pytorch@0c6734d
Stack from ghstack (oldest at bottom): -> Fix only logging ir_post_fusion with torch_compile_debug enabled #148499 Because we were invoking the logs through V.debug, it was not running if TORCH_C...
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 解决方案: cuda,device的指定出错...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.compile'ing individual linears for torchtitan debug model + FSDP2 leads to errors · pytorch/pytorch@b57b4b7
Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.compile'ing individual linears for torchtitan debug model + FSDP2 leads to errors · pytorch/pytorch@80c7c71
Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.compile'ing individual linears for torchtitan debug model + FSDP2 leads to errors · pytorch/pytorch@8cd6a13