```
using Flux, CUDA
struct filters{T <: Real}
f::AbstractArray{T,3}
function filters{T}(f) where T <: Real
new(f)
end
end
Flux.@functor filters
```

And this works:

```
T = Float32
q = filters{T}(cu(rand(50, 1, 15)))
X = cu(randn(T, (100, 1, 4)))
S = cu(randn(T,(51,15,4)))
ps = Flux.params(q)
gs = gradient(ps) do
sum(Flux.NNlib.conv(X, q.f, pad=0) - S)
end
```

But this doesn’t work:

```
T = Float16
q = filters{T}(cu(rand(50, 1, 15)))
X = cu(randn(T, (100, 1, 4)))
S = cu(randn(T,(51,15,4)))
ps = Flux.params(q)
gs = gradient(ps) do
sum(Flux.NNlib.conv(X, q.f, pad=0) - S)
```

which gives

CUDNNError: CUDNN_STATUS_BAD_PARAM (code 3)