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The two GPUs are treated as separate cards. When you run Caffe and add the '-gpu' flag (assuming you are using the command line), you can specify which GPU to use (-gpu 0 or …
1. Python allows you to choose a single GPU using set_device (). Multi-GPU is only supported on the C++ interface. The --gpu flag used for this purpose is discussed here. The …
First, in the file file in the filer.hpp file in caffe / include / caffe, it has its source file. If you want to see, you can take a look, anyway, I don't want to see, the code details, I don't want t...
I'm actually having this same exact issue on a recent (Jan 5) dev branch. Many of the details match up with onyxcube's description. I'm running caffe with MPI on a machine with …
Currently I have a machine with multiple GPUs, when I try to run the python scripts (warpper for Caffe) in parallel for feature extraction (feed-foward process), all scripts use the …
Caffe allows parallel computing between multiple GPU, and multi-GPU mode is "not sharing data, but sharing network". When the number of GPU on the target machine is greater than 1 o'clock, …
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Use of multiple GPUs with DDL is specified through the MPI rank file, so the -gpu flag cannot be used to specify multiple GPUs for DDL. While you are running Caffe on several hosts, the use of …
Parallelism: the -gpu flag to the caffe tool can take a comma separated list of IDs to run on multiple GPUs. A solver and net will be instantiated for each GPU so the batch size is …
Caffe is a deep-learning framework made with flexibility, speed, and modularity in mind. NVCaffe is an NVIDIA-maintained fork of BVLC Caffe tuned for NVIDIA GPUs, particularly in multi-GPU …
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