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CEnum 0.3 compatibility. #705

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May 5, 2020
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CEnum 0.3 compatibility. #705

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2 changes: 1 addition & 1 deletion Project.toml
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Expand Up @@ -27,7 +27,7 @@ TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
[compat]
AbstractFFTs = "0.4, 0.5"
Adapt = "1.0"
CEnum = "0.2"
CEnum = "0.2, 0.3"
CUDAapi = "3.0, 4.0"
CUDAdrv = "6.0.1"
CUDAnative = "3.0"
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2 changes: 1 addition & 1 deletion src/dnn/rnn.jl
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Expand Up @@ -47,7 +47,7 @@ function RNNDesc{T}(mode::cudnnRNNMode_t, input::Int, hidden::Int; layers = 1) w
inputMode = CUDNN_LINEAR_INPUT
direction = CUDNN_UNIDIRECTIONAL
algo = CUDNN_RNN_ALGO_STANDARD
cudnnSetRNNDescriptor_v6(handle(),d[],hidden,layers,dropoutDesc,cudnnRNNInputMode_t(inputMode),cudnnDirectionMode_t(direction),mode,cudnnRNNAlgo_t(algo),cudnnDataType(T))
cudnnSetRNNDescriptor_v6(handle(),d[],hidden,layers,dropoutDesc,inputMode,direction,mode,algo,cudnnDataType(T))

w =CuArrays.zeros(T, rnnParamSize(T, d[], input))
# TODO: avoid reserve allocation here
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