Rocio Sanchez
Rocio Sanchez
Hi @reedwm / @tfboyd, I am running the benchmarks on a multi node system (2 hosts , each has 4 GPUs) following the below instructions on https://www.tensorflow.org/performance/performance_models#executing_the_script , but I...
hi @mpatwary, my system has 2 nodes, each with 4 P100 GPUs (total 8 gpus) connected using infiniband, I was wonder how mpirun communicates between the nodes to implement the...
@mpatwary, thanks for your prompt reply. I exported that and have gotten other errors. My system has 2 nodes, each with 4 P100 GPUs (total 8 GPUs) connected using InfiniBand,...
Hi @danyue333 / @duohaoxue were you able to successfully convert ONNX into an engine in INT8 mode? hi @ersheng-ai, is there some sample showing how to implement int8 calibration for...
Hi @mankeyboy, could you please assist?. I am trying to optimize the model faster_rcnn_inception_v2 with INT8 & NMS but getting some errors at the calibration step, I am running the...
Hi @TomAugspurger , thank you are right, I have dropped the boolean column (which wasn't needed) and it worked. So, what is the issue with dask-xgboost handling boolean columns, where...
I am working on multi-node mode, I haven't tried with xgboost itself yet
> Since I think you focus on making it run rather than high perf numbers, I would suggest the following: > > ### desktop GPUs (Quadro M1000M or GeForce GTX1080)...
Hi @nvpohanh, it is working now, thank you!
Hi @renganxu, I think this error is produced because V100 doesn't support INT8 Tensor Cores, have you tried with FP16 Tensor Cores?. Here is the list of supported precision mode...