Comments (3)
facebook/fbcunn exploits cuDNN through a limited number of DNN specific operations implemented by the wrapper cudnn.torch. This is probably the least invasive method to integrate with cuDNN.
The fallback CUDA backend of torch is cunn.
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FWIW, this may be worth looking at (Mozilla Public License 2.0): https://github.com/hughperkins/DeepCL
More specfically: https://github.com/hughperkins/DeepCL/tree/master/cl
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This is going to be solved upstream: arrayfire/arrayfire#1868
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Related Issues (20)
- Example: Generalized Linear Regression HOT 1
- k-means
- Base classifier class HOT 1
- TODO List for 0.1 release HOT 53
- Principle Component Analysis
- Linear Discriminant Analysis
- RNN Models HOT 12
- HMM and Viterbi
- OpenCL Error OSX Radeon HD6750 HOT 6
- Add Initializers HOT 3
- Remove bias from Weights.hpp HOT 3
- Static Activations Class HOT 5
- Autodiff HOT 1
- Is ML project dead? HOT 2
- Convolution Functions HOT 1
- Loss functions HOT 2
- Optimizers
- Indexing and assignment support in autograd
- Degraded performance for variable input size HOT 2
- Possible anachronism in CMake `target_include_directories`
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