Comments (5)
from what i've seen is that cudnn is great for RNN and CONVs, but i would have to dive deeper into the docs to understand their api
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but we could start with cublas, as it is most likely easier
Edit: I'll have a look into this
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I checked out cuDNN; there are so many functions! can you maybe give me a list of relevant functions? since cuDNN requires very "special" settings, cuDNN would most likely have to be a seperate device/have a different kind of tensor?
This is my cudnn branch: https://github.com/M1ngXU/cudarc/tree/cudnn
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I really like the idea of cuDNN being a different device, that definitely aligns with the device refactor I'm planning for dfdx. Thanks for sharing your code that'll def be useful
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cublas support was added. will add another issue for cudnn
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Related Issues (20)
- Unsupported cuda toolkit version: `12040` HOT 1
- Error searching for cublasHgemmStridedBatched HOT 3
- Fully static binaries HOT 1
- Discovering the cuda libraries with dynamic loading HOT 3
- `CudaSlice` equivalent of `Slice::split_at_mut`
- building error inside official cuda docker image for 11.4.3 version
- Unsupported cuda toolkit version: `12050`. Please raise a github issue.
- Are there any break changes soon? HOT 1
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- how to specify the following features cuda-version-from-build-system, cuda-12040, cuda-12030, cuda-12020, cuda-12010, cuda-12000, cuda-11080, cuda-11070 HOT 3
- Error: unsupported CUDA toolkit 11.5 HOT 4
- Unable to find nvrtc lib under the names ["nvrtc", "nvrtc64", "nvrtc64_12", "nvrtc64_125", "nvrtc64_125_0", "nvrtc64_120_5", "nvrtc64_10"]. Please open GitHub issue. HOT 1
- Safe API call to get device name and compute capability? HOT 2
- CUDA_ERROR_NO_DEVICE "no CUDA-capable device is detected" HOT 9
- Unable to find cuda lib under the names ["cuda", "nvcuda"] on WSL HOT 1
- Is there a way to get this to compile on a Mac? HOT 3
- Unified memory support HOT 1
- In-Place Reduction for NCCL HOT 1
- Cannot find cudnn libs/headers HOT 3
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