https://github.com/JuliaLang/julia
Tip revision: 3737cc28bc3116b21fb2502cdccbbeef5fbcd1b3 authored by Jeff Bezanson on 14 July 2014, 02:04:24 UTC
update VERSION to 0.3.0-rc1
update VERSION to 0.3.0-rc1
Tip revision: 3737cc2
reducedim.jl
## Functions to compute the reduced shape
# for reductions that expand 0 dims to 1
reduced_dims(a::AbstractArray, region) = reduced_dims(size(a), region)
# for reductions that keep 0 dims as 0
reduced_dims0(a::AbstractArray, region) = reduced_dims0(size(a), region)
reduced_dims{N}(siz::NTuple{N,Int}, d::Int, rd::Int) = (d == 1 ? tuple(rd, siz[d+1:N]...) :
d == N ? tuple(siz[1:N-1]..., rd) :
1 < d < N ? tuple(siz[1:d-1]..., rd, siz[d+1:N]...) :
siz)::typeof(siz)
reduced_dims{N}(siz::NTuple{N,Int}, d::Int) = reduced_dims(siz, d, 1)
reduced_dims0{N}(siz::NTuple{N,Int}, d::Int) = 1 <= d <= N ? reduced_dims(siz, d, (siz[d] == 0 ? 0 : 1)) : siz
function reduced_dims{N}(siz::NTuple{N,Int}, region)
rsiz = [siz...]
for i in region
if 1 <= i <= N
rsiz[i] = 1
end
end
tuple(rsiz...)::typeof(siz)
end
function reduced_dims0{N}(siz::NTuple{N,Int}, region)
rsiz = [siz...]
for i in region
if i <= i <= N
rsiz[i] = (rsiz[i] == 0 ? 0 : 1)
end
end
tuple(rsiz...)::typeof(siz)
end
function regionsize(a, region)
s = 1
for d in region
s *= size(a,d)
end
s
end
###### Generic reduction functions #####
## initialization
for (Op, initfun) in ((:AddFun, :zero), (:MulFun, :one), (:MaxFun, :typemin), (:MinFun, :typemax))
@eval initarray!{T}(a::AbstractArray{T}, ::$(Op), init::Bool) = (init && fill!(a, $(initfun)(T)); a)
end
for (Op, initval) in ((:AndFun, true), (:OrFun, false))
@eval initarray!(a::AbstractArray, ::$(Op), init::Bool) = (init && fill!(a, $initval); a)
end
reducedim_initarray{R}(A::AbstractArray, region, v0, ::Type{R}) = fill!(similar(A,R,reduced_dims(A,region)), v0)
reducedim_initarray{T}(A::AbstractArray, region, v0::T) = reducedim_initarray(A, region, v0, T)
reducedim_initarray0{R}(A::AbstractArray, region, v0, ::Type{R}) = fill!(similar(A,R,reduced_dims0(A,region)), v0)
reducedim_initarray0{T}(A::AbstractArray, region, v0::T) = reducedim_initarray0(A, region, v0, T)
# TODO: better way to handle reducedim initialization
#
# The current scheme is basically following Steven G. Johnson's original implementation
#
function reducedim_init{T}(f, op::AddFun, A::AbstractArray{T}, region)
if method_exists(zero, (Type{T},))
x = evaluate(f, zero(T))
z = zero(x) + zero(x)
Tr = typeof(z) == typeof(x) && !isbits(T) ? T : typeof(z)
else
z = zero(sum(f, A))
Tr = typeof(z)
end
return reducedim_initarray(A, region, z, Tr)
end
function reducedim_init{T}(f, op::MulFun, A::AbstractArray{T}, region)
if method_exists(zero, (Type{T},))
x = evaluate(f, zero(T))
z = one(x) * one(x)
Tr = typeof(z) == typeof(x) && !isbits(T) ? T : typeof(z)
else
z = one(prod(f, A))
Tr = typeof(z)
end
return reducedim_initarray(A, region, z, Tr)
end
reducedim_init{T}(f, op::MaxFun, A::AbstractArray{T}, region) = reducedim_initarray0(A, region, typemin(evaluate(f, zero(T))))
reducedim_init{T}(f, op::MinFun, A::AbstractArray{T}, region) = reducedim_initarray0(A, region, typemax(evaluate(f, zero(T))))
reducedim_init{T}(f::Union(AbsFun,Abs2Fun), op::MaxFun, A::AbstractArray{T}, region) =
reducedim_initarray(A, region, zero(evaluate(f, zero(T))))
reducedim_init(f, op::AndFun, A::AbstractArray, region) = reducedim_initarray(A, region, true)
reducedim_init(f, op::OrFun, A::AbstractArray, region) = reducedim_initarray(A, region, false)
# specialize to make initialization more efficient for common cases
typealias CommonReduceResult Union(Uint64,Uint128,Int64,Int128,Float32,Float64,Complex64,Complex128)
for (IT, RT) in ((:CommonReduceResult, :T), (:SmallSigned, :Int), (:SmallUnsigned, :Uint))
@eval begin
reducedim_init{T<:$IT}(f::Union(IdFun,AbsFun,Abs2Fun), op::AddFun, A::AbstractArray{T}, region) =
reducedim_initarray(A, region, zero($RT))
reducedim_init{T<:$IT}(f::Union(IdFun,AbsFun,Abs2Fun), op::MulFun, A::AbstractArray{T}, region) =
reducedim_initarray(A, region, one($RT))
end
end
reducedim_init(f::Union(IdFun,AbsFun,Abs2Fun), op::AddFun, A::AbstractArray{Bool}, region) =
reducedim_initarray(A, region, 0)
## generic (map)reduction
has_fast_linear_indexing(a::AbstractArray) = false
has_fast_linear_indexing(a::Array) = true
function check_reducdims(R, A)
# Check whether R has compatible dimensions w.r.t. A for reduction
#
# It returns an integer value value (useful for choosing implementation)
# - If it reduces only along leading dimensions, e.g. sum(A, 1) or sum(A, (1, 2)),
# it returns the length of the leading slice. For the two examples above,
# it will be size(A, 1) or size(A, 1) * size(A, 2).
# - Otherwise, e.g. sum(A, 2) or sum(A, (1, 3)), it returns 0.
#
lsiz = 1
had_nonreduc = false
for i = 1:ndims(A)
sRi = size(R, i)
sAi = size(A, i)
if sRi == 1
if sAi > 1
if had_nonreduc
lsiz = 0 # to reduce along i, but some previous dimensions were non-reducing
else
lsiz *= sAi # if lsiz was set to zero, it will stay to be zero
end
end
else
sRi == sAi ||
throw(DimensionMismatch("Reduction on array of size $(size(A)) with output of size $(size(R))"))
had_nonreduc = true
end
end
return lsiz
end
@ngenerate N typeof(R) function _mapreducedim!{T,N}(f, op, R::AbstractArray, A::AbstractArray{T,N})
lsiz = check_reducdims(R, A)
isempty(A) && return R
@nextract N sizeR d->size(R,d)
sizA1 = size(A, 1)
if has_fast_linear_indexing(A) && lsiz > 16
# use mapreduce_impl, which is probably better tuned to achieve higher performance
nslices = div(length(A), lsiz)
ibase = 0
for i = 1:nslices
@inbounds R[i] = mapreduce_impl(f, op, A, ibase+1, ibase+lsiz)
ibase += lsiz
end
elseif size(R, 1) == 1 && sizA1 > 1
# keep the accumulator as a local variable when reducing along the first dimension
@nloops N i d->(d>1? (1:size(A,d)) : (1:1)) d->(j_d = sizeR_d==1 ? 1 : i_d) begin
@inbounds r = (@nref N R j)
for i_1 = 1:sizA1
@inbounds v = evaluate(f, (@nref N A i))
r = evaluate(op, r, v)
end
@inbounds (@nref N R j) = r
end
else
# general implementation
@nloops N i A d->(j_d = sizeR_d==1 ? 1 : i_d) begin
@inbounds v = evaluate(f, (@nref N A i))
@inbounds (@nref N R j) = evaluate(op, (@nref N R j), v)
end
end
return R
end
mapreducedim!(f, op, R::AbstractArray, A::AbstractArray) = _mapreducedim!(f, op, R, A)
function mapreducedim!(f::Function, op, R::AbstractArray, A::AbstractArray)
is(op, +) ? _mapreducedim!(f, AddFun(), R, A) :
is(op, *) ? _mapreducedim!(f, MulFun(), R, A) :
is(op, &) ? _mapreducedim!(f, AndFun(), R, A) :
is(op, |) ? _mapreducedim!(f, OrFun(), R, A) :
_mapreducedim!(f, op, R, A)
end
reducedim!{RT}(op, R::AbstractArray{RT}, A::AbstractArray) = mapreducedim!(IdFun(), op, R, A, zero(RT))
mapreducedim(f, op, A::AbstractArray, region, v0) = mapreducedim!(f, op, reducedim_initarray(A, region, v0), A)
mapreducedim{T}(f, op, A::AbstractArray{T}, region) = mapreducedim!(f, op, reducedim_init(f, op, A, region), A)
reducedim(op, A::AbstractArray, region, v0) = mapreducedim(IdFun(), op, A, region, v0)
reducedim(op, A::AbstractArray, region) = mapreducedim(IdFun(), op, A, region)
##### Specific reduction functions #####
for (fname, Op) in [(:sum, :AddFun), (:prod, :MulFun),
(:maximum, :MaxFun), (:minimum, :MinFun),
(:all, :AndFun), (:any, :OrFun)]
fname! = symbol(string(fname, '!'))
@eval begin
$(fname!)(f::Union(Function,Func{1}), r::AbstractArray, A::AbstractArray; init::Bool=true) =
mapreducedim!(f, $(Op)(), initarray!(r, $(Op)(), init), A)
$(fname!)(r::AbstractArray, A::AbstractArray; init::Bool=true) = $(fname!)(IdFun(), r, A; init=init)
$(fname)(f::Union(Function,Func{1}), A::AbstractArray, region) =
mapreducedim(f, $(Op)(), A, region)
$(fname)(A::AbstractArray, region) = $(fname)(IdFun(), A, region)
end
end
for (fname, fbase, Fun) in [(:sumabs, :sum, :AbsFun),
(:sumabs2, :sum, :Abs2Fun),
(:maxabs, :maximum, :AbsFun),
(:minabs, :minimum, :AbsFun)]
fname! = symbol(string(fname, '!'))
fbase! = symbol(string(fbase, '!'))
@eval begin
$(fname!)(r::AbstractArray, A::AbstractArray; init::Bool=true) =
$(fbase!)($(Fun)(), r, A; init=init)
$(fname)(A::AbstractArray, region) = $(fbase)($(Fun)(), A, region)
end
end
##### findmin & findmax #####
# Generate the body for a reduction function reduce!(f, Rval, Rind, A), using a comparison operator f
# Rind contains the index of A from which Rval was taken
function gen_findreduction_body(N, f::Function)
F = Expr(:quote, f)
quote
(isempty(Rval) || isempty(A)) && return Rval, Rind
for i = 1:$N
(size(Rval, i) == size(A, i) || size(Rval, i) == 1) || throw(DimensionMismatch("Find-reduction on array of size $(size(A)) with output of size $(size(Rval))"))
size(Rval, i) == size(Rind, i) || throw(DimensionMismatch("Find-reduction: outputs must be of the same size"))
end
@nexprs $N d->(sizeR_d = size(Rval,d))
# If we're reducing along dimension 1, for efficiency we can make use of a temporary.
# Otherwise, keep the result in Rval/Rind so that we traverse A in storage order.
k = 0
@inbounds if size(Rval, 1) < size(A, 1)
@nloops $N i d->(d>1? (1:size(A,d)) : (1:1)) d->(j_d = sizeR_d==1 ? 1 : i_d) begin
tmpRv = (@nref $N Rval j)
tmpRi = (@nref $N Rind j)
for i_1 = 1:size(A,1)
k += 1
tmpAv = (@nref $N A i)
if ($F)(tmpAv, tmpRv)
tmpRv = tmpAv
tmpRi = k
end
end
(@nref $N Rval j) = tmpRv
(@nref $N Rind j) = tmpRi
end
else
@nloops $N i A d->(j_d = sizeR_d==1 ? 1 : i_d) begin
k += 1
tmpAv = (@nref $N A i)
if ($F)(tmpAv, (@nref $N Rval j))
(@nref $N Rval j) = tmpAv
(@nref $N Rind j) = k
end
end
end
Rval, Rind
end
end
eval(ngenerate(:N, :(typeof((Rval,Rind))), :(_findmin!{T,N}(Rval::AbstractArray, Rind::AbstractArray, A::AbstractArray{T,N})), N->gen_findreduction_body(N, <)))
findmin!{R}(rval::AbstractArray{R}, rind::AbstractArray, A::AbstractArray; init::Bool=true) = _findmin!(initarray!(rval, typemax(R), init), rind, A)
findmin{T}(A::AbstractArray{T}, region) =
isempty(A) ? (similar(A,reduced_dims0(A,region)), zeros(Int,reduced_dims0(A,region))) :
_findmin!(reducedim_initarray0(A, region, typemax(T)), zeros(Int,reduced_dims0(A,region)), A)
eval(ngenerate(:N, :(typeof((Rval,Rind))), :(_findmax!{T,N}(Rval::AbstractArray, Rind::AbstractArray, A::AbstractArray{T,N})), N->gen_findreduction_body(N, >)))
findmax!{R}(rval::AbstractArray{R}, rind::AbstractArray, A::AbstractArray; init::Bool=true) = _findmax!(initarray!(rval, typemin(R), init), rind, A)
findmax{T}(A::AbstractArray{T}, region) =
isempty(A) ? (similar(A,reduced_dims0(A,region)), zeros(Int,reduced_dims0(A,region))) :
_findmax!(reducedim_initarray0(A, region, typemin(T)), zeros(Int,reduced_dims0(A,region)), A)