Flux RNNs leak into CuRNNs

Hello,

has anyone encountered Flux RNNs invoking cudnn code, although none of the models from Flux.CUDA are used? My model is built on top of Flux.LSTM (not CuLSTM), but I get the following error:

ERROR: LoadError: CUDNNError(code 3, CUDNN_STATUS_BAD_PARAM)
Stacktrace:
 [1] macro expansion at /data/.julia/packages/CuArrays/PwSdF/src/dnn/error.jl:19 [inlined]
 [2] cudnnRNNBackwardData(::Flux.CUDA.RNNDesc{Float32}, ::Int64, ::Array{CuArrays.CUDNN.TensorDesc,1}, ::CuArr
ays.CuArray{Float32,2}, ::Array{CuArrays.CUDNN.TensorDesc,1}, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.FilterDesc, ::CuArrays.CuArray{Float32,1}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::Array{CuArrays.CUDNN.TensorDesc,1}, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CUDNN.TensorDesc, ::CuArrays.CuArray{Float32,2}, ::CuArrays.CuArray{UInt8,1}, ::CuArrays.CuArray{UInt8,1}) at /data/.julia/packages/Flux/qXNjB/src/cuda/curnn.jl:170
...

The error itself might be due to driver version mismatch, but I was not expecting cudnn to be invoked at all. Am I missing something?

Thanks in advance.

Actually, I was wrong. Flux RNNs delegate to cudnn if it is installed.