Skip to content

feat:add modes to conv function (#399) #403

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Longhao-Chen wants to merge 6 commits into
base: master
Choose a base branch
from
Open

feat:add modes to conv function (#399) #403

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
946464b
feat:add modes to conv function (#399)
Longhao-Chen Feb 22, 2021
cc81ca3
feat:Add :same and :valid support for Vector.
Longhao-Chen Feb 22, 2021
0584fbd
test:Add tests for :same and :valid modes of conv
Longhao-Chen Feb 22, 2021
54f0529
fix:Fix calculation errors.
Longhao-Chen Apr 28, 2021
07e3b01
test:Add tests for :same and :valid modes of conv-ND
Longhao-Chen Apr 30, 2021
5bdc1c2
Add modes to conv function.
Longhao-Chen Apr 30, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
61 changes: 43 additions & 18 deletions src/dspbase.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -679,52 +679,77 @@ end

# May switch argument order
"""
conv(u,v)
conv(u,v; mode = :full)

Convolution of two arrays. Uses either FFT convolution or overlap-save,
depending on the size of the input. `u` and `v` can be N-dimensional arrays,
with arbitrary indexing offsets, but their axes must be a `UnitRange`.

:full — Return the full convolution.

:same — Return the central part of the convolution, which is the same size as u.

:valid — Return only parts of the convolution that are computed without zero-padded edges.

Warning: `:same` and `:valid` will result in an extra copy of the result.
"""
function conv(u::AbstractArray{T, N},
v::AbstractArray{T, N}) where {T<:BLAS.BlasFloat, N}
v::AbstractArray{T, N};
mode::Symbol = :full) where {T<:BLAS.BlasFloat, N}
su = size(u)
sv = size(v)
if prod(su) >= prod(sv)
_conv(u, v, su, sv)
if mode == :full
if prod(su) >= prod(sv)
_conv(u, v, su, sv)
else
_conv(v, u, sv, su)
end
elseif mode == :same
conv_res = conv(u, v)
outsize = CartesianIndex(Int.(floor.(sv ./2 .+ 1))...):CartesianIndex(Int.(floor.(sv ./ 2) .+ su)...)
conv_res[outsize]
elseif mode == :valid
conv_res = conv(u, v)
outsize = CartesianIndex(sv...):CartesianIndex(su...)
conv_res[outsize]
else
_conv(v, u, sv, su)
throw(ArgumentError("mode keyword argument must be :full or :same or :valid"))
end
end

function conv(u::AbstractArray{<:BLAS.BlasFloat, N},
v::AbstractArray{<:BLAS.BlasFloat, N}) where N
v::AbstractArray{<:BLAS.BlasFloat, N};
mode::Symbol = :full) where N
fu, fv = promote(u, v)
conv(fu, fv)
conv(fu, fv, mode = mode)
end

conv(u::AbstractArray{<:Integer, N}, v::AbstractArray{<:Integer, N}) where {N} =
round.(Int, conv(float(u), float(v)))
conv(u::AbstractArray{<:Integer, N}, v::AbstractArray{<:Integer, N}; mode::Symbol = :full) where {N} =
round.(Int, conv(float(u), float(v), mode = mode))

conv(u::AbstractArray{<:Number, N}, v::AbstractArray{<:Number, N}) where {N} =
conv(float(u), float(v))
conv(u::AbstractArray{<:Number, N}, v::AbstractArray{<:Number, N}; mode::Symbol = :full) where {N} =
conv(float(u), float(v), mode = mode)

function conv(u::AbstractArray{<:Number, N},
v::AbstractArray{<:BLAS.BlasFloat, N}) where N
conv(float(u), v)
v::AbstractArray{<:BLAS.BlasFloat, N};
mode::Symbol = :full) where N
conv(float(u), v, mode = mode)
end

function conv(u::AbstractArray{<:BLAS.BlasFloat, N},
v::AbstractArray{<:Number, N}) where N
conv(u, float(v))
v::AbstractArray{<:Number, N};
mode::Symbol = :full) where N
conv(u, float(v), mode = mode)
end

function conv(A::AbstractArray{<:Number, M},
B::AbstractArray{<:Number, N}) where {M, N}
B::AbstractArray{<:Number, N};
mode::Symbol = :full) where {M, N}
if (M < N)
conv(cat(A, dims=N)::AbstractArray{eltype(A), N}, B)
conv(cat(A, dims=N)::AbstractArray{eltype(A), N}, B, mode = mode)
else
@assert M > N
conv(A, cat(B, dims=M)::AbstractArray{eltype(B), M})
conv(A, cat(B, dims=M)::AbstractArray{eltype(B), M}, mode = mode)
end
end

Expand Down
6 changes: 6 additions & 0 deletions test/dsp.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,8 @@ end
im_expectation = [1, 3, 6, 6, 5, 3]
a32 = convert(Array{Int32}, a)
@test conv(a, b) == expectation
@test conv(a, b, mode=:same) == expectation[2:5]
@test conv(a, b, mode=:valid) == expectation[3:4]
@test conv(a32, b) == expectation
fa = convert(Array{Float64}, a)
f32a = convert(Array{Float32}, a)
Expand Down Expand Up @@ -90,6 +92,8 @@ end
# Real Integers
a32 = convert(Array{Int32}, a)
@test conv(a, b) == expectation
@test conv(a, b, mode=:same) == expectation[2:4, 2:4]
@test conv(a, b, mode=:valid) == expectation[2:3, 2:3]
@test conv(a32, b) == expectation
# Floats
fa = convert(Array{Float64}, a)
Expand Down Expand Up @@ -161,6 +165,8 @@ end
47, 96, 100, 51,
25, 51, 53, 27], (4, 4, 4)))
@test conv(a, b) == exp
@test conv(a, b, mode=:same) == exp[2:4, 2:4, 2:4]
@test conv(a, b, mode=:valid) == exp[2:3, 2:3, 2:3]


#6D, trivial, just to see if it works
Expand Down