TastyPancakes/Flux.jl
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Merge commit '1490d87d8387a078a29a336cb37fd7269240179e'

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Mike J Innes 2018-06-26 14:25:36 +01:00
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docs/src/gpu.md
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@ -4,6 +4,8 @@ Support for array operations on other hardware backends, like GPUs, is provided
For example, we can use `CuArrays` (with the `cu` converter) to run our [basic example](models/basics.md) on an NVIDIA GPU. For example, we can use `CuArrays` (with the `cu` converter) to run our [basic example](models/basics.md) on an NVIDIA GPU.
(Note that you need to build Julia 0.6 from source and have CUDA available to use CuArrays – please see the [CUDAnative.jl](https://github.com/JuliaGPU/CUDAnative.jl) instructions for more details.)
```julia ```julia
using CuArrays using CuArrays

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docs/src/index.md
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@ -14,3 +14,5 @@ Pkg.test("Flux") # Check things installed correctly
``` ```
Start with the [basics](models/basics.md). The [model zoo](https://github.com/FluxML/model-zoo/) is also a good starting point for many common kinds of models. Start with the [basics](models/basics.md). The [model zoo](https://github.com/FluxML/model-zoo/) is also a good starting point for many common kinds of models.
See [GPU support](gpu.md) for more details on installing and using Flux with GPUs.