nullable c refactor

This commit is contained in:
Mike J Innes 2018-02-06 13:29:57 +00:00
parent 07e1b1e0a9
commit f866fbe575

View File

@ -130,6 +130,11 @@ function cudnnRNNForward(::Type{T}, rnn, seqlen, xd, x, hd, h, cd, c, wd, w, yd,
end
end
hDesc(h::Void) = C_NULL, C_NULL
function hDesc(h::CuArray)
TensorDesc(eltype(h), (size(h, 1), size(h, 2), 1)), h
end
function forward(rnn::RNNDesc{T}, x::CuArray{T}, h::CuArray{T}, c = nothing; train = false) where T
@assert size(x, 1) == rnn.input
@assert size(h, 1) == rnn.hidden
@ -140,29 +145,20 @@ function forward(rnn::RNNDesc{T}, x::CuArray{T}, h::CuArray{T}, c = nothing; tra
ydesc = [TensorDesc(T, (1, size(y, 1), size(y, 2)))]
workspace = CuVector{UInt8}(rnnWorkspaceSize(rnn, seqLength, xdesc)) # TODO: reuse this
reserve = train ? getreserve(rnn, seqLength, xdesc) : rnn.reserve
if c nothing
@assert size(c, 1) == rnn.hidden
@assert size(c, 2) == size(h, 2)
cptr = c
cdesc = TensorDesc(T, (size(c, 1), size(c, 2), 1))
cout = similar(c)
coutdesc = TensorDesc(T, (size(cout, 1), size(cout, 2), 1))
else
cptr = cdesc = cout = coutdesc = C_NULL
end
cy = c == nothing ? c : similar(c)
cudnnRNNForward(T, rnn, seqLength,
xdesc, x,
TensorDesc(T, (size(h, 1), size(h, 2), 1)), h,
cdesc, cptr,
hDesc(h)...,
hDesc(c)...,
TensorDesc(T, (1, 1, length(rnn.params))), rnn.params,
ydesc, y,
C_NULL, C_NULL, # hout
coutdesc, cout,
hDesc(cy)...,
workspace, reserve, train = train)
if c == nothing
return y, y
else
return y, y, cout
return y, y, cy
end
end