2023年5月28日 · From the support suggested couple of solutions, none of which is helping, except to check the compatibility b/w CUDA and MXNet.So typing nvidia-smi shows CUDA version is 12.0, what is the corresponding version of MXNet for it, and how to install it?

2020年11月3日 · Good afternoon. Recently I have encountered the problem with installing "mxnet" package. I have tried several variants of code, but neither of their actually installs this package. 1. cra...

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I have a folder containing the following files: train.idx, train.rec, property, lfw.bin, cfp_fp.bin, agedb_30.bin This folder contains face images. I have already used ImageRecordIter in the fol...

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2022年12月22日 · yeah - it looks like the version of mxnet you have installed is incompatible with the version of numpy you're using. I'd make sure you're installing everything using the same conda channel. Since you're using anaconda, you cannot install anything into your base env using the conda-forge channel, so make sure you're careful about which channels ...

2019年1月16日 · I'm tried to train my code with gpu in jupyter .But i don't get the right gpu. my environment is : windows10, cuda8, python3.6, mxnetgpu, jupyter .

2018年2月21日 · Using python 3 (anaconda), installed CUDA 9.0, and cuDNN v7.0.5 for 9.0, then mxnet_cu90 installed from pip. I set the data and model contexts to gpu(0), but my gtx 1080 hovers around 1-4% usage (whether or not the script is running), whilst my 8 Xeon cores ramp up to around 50-60% through the epochs.

2022年3月16日 · Recent version of torch/mxnet/TF will run on a T4 GPU. They won't run on a K80, because they have dropped support for the old K80 GPU (compute capability 3.7). You could try restarting your colab instance to see if you get a T4, or you could try to find old builds of these frameworks that still support K80.

2012年3月6日 · mkl in name mxnet-mkl can means Math Kernel Library created in C/C++ by Intel. And this could be your missing library. OR if you was installing mxnet-cu90 then it would need library cu90 which can means some CUDA library. –