Comments (5)
Unfortunately this isn't possible right now, I'm still working on making the APIs for recurrence complete. But since you asked I can bump this up the priority list and try to get it working this week or so.
Just curious, is there a particular reason you want to use MXNet over TensorFlow?
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Thank you for the quick answer; that would be terrific!
The main reason is, that MXNet is already built on the different machines (GPU & CPU) that I am using (which took a while). I am working on building TensorFlow on them, but it is not my strong suit.
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Are there any updates on the MXNet backend and the LSTM example?
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This more-or-less works on the master branch but isn't quite ready for release. If you're willing to get your hands a bit dirty I can try to put some instructions together.
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I'm currently tagging a release which fixes this: JuliaLang/METADATA.jl#9101
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Related Issues (20)
- Illegal Memory Access Error During Gradient Calculation of predefined losses on GPU RTX 4050 HOT 1
- Unnecessarily using shared GPU memory HOT 8
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- Flux.setup buggy and broken in latest v.0.13.17 HOT 3
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