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13th October 2019, 16:18 | #61 | Link | |
Registered User
Join Date: Sep 2016
Posts: 67
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Quote:
Maybe CUDA is a hard requirement, even though it has a switch to change devices. I could've sworn I ran the plugin on the CPU before, but maybe I'm remembering the Waifu2x OpenCL plugin... |
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7th April 2021, 02:34 | #62 | Link |
Beyond Kawaii
Join Date: Feb 2008
Location: Russia
Posts: 724
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Got myself RTX 3090 and cannot make vs_mxnet work anymore.
"Python exception: mxnet: Invalid MXNet Predictor: Please Try to Upgrade MXNet." Windows 10. Tried with mxnet-cu101 and cu102 ver 1.5 with respective CUDA. Then installed CUDA 11.2 and built mxnet 2.0 from sources. Result is the same.
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...desu! |
7th April 2021, 16:02 | #64 | Link |
Beyond Kawaii
Join Date: Feb 2008
Location: Russia
Posts: 724
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I have recompiled mxnet with CUDA 11.2.
Yes, the example works. I couldn't find prebuilt cu112 for Windows. The best pip gets is cu102, version 1.5. upd: One little correction. Example works, but with this notice: >>> a = mx.nd.ones((2,3), mx.gpu()) >>> [18:06:07] F:\git\incubator-mxnet\src\storage\storage.cc:199: Using Pooled (Naive) StorageManager for GPU
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...desu! Last edited by Mystery Keeper; 7th April 2021 at 16:07. |
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