Comments (1)
nomadbl
commented on May 18, 2024
1
The GPU support in general is handled through other libraries. The Arc GPU is handled through https://github.com/JuliaGPU/oneAPI.jl which can be used similarly to CUDA interface with some changes. Looking at the documentation it seems that the current version does not support the full set of operations that Flux needs to run.
from flux.jl.
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
- Flux installation error under Julia 1.10 on Apple Silicon HOT 2
- Given that DataLoader implements `length` shouldn't it also be able to provide size? HOT 4
- The dedicated tutorial on DataLoader is missing HOT 2
- Incorrect link on docs HOT 4
- Hard error using dice loss HOT 2
- Compilation time of Flux models HOT 1
- Flux.setup buggy and broken in latest v.0.13.17 HOT 3
- example for using apple GPU with flux HOT 4
- Dimensions check for `Conv` is incomplete, leading to confusing error HOT 1
- 2x performance regression due to 5e80211c3302b5e7b79b4f670498f5a68af6659b HOT 2
- Why is Flux.destructure type unstable? HOT 3
- bad formatting for PairwiseFusion docstring HOT 1
- Zero-sized arrays cannot be applied to Dense layers. HOT 4
- Adding Simple Recurrent Unit as a recurrent layer
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from flux.jl.