TastyPancakes/Flux.jl
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

remove old-style definition and test

Browse Source
This commit is contained in:
Mike J Innes 2018-10-30 14:21:22 +00:00
parent 9f9803eec6
commit 77178b7d67
2 changed files with 2 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
src/tracker/array.jl
View File

@ -312,9 +312,6 @@ end
LinearAlgebra.diagm(x::Pair{<:Integer, <:TrackedVector}) = track(diagm, x) LinearAlgebra.diagm(x::Pair{<:Integer, <:TrackedVector}) = track(diagm, x)
@grad diagm(x::Pair) = diagm(x[1] => data(x[2])), Δ -> (diag(Δ, x[1]),) @grad diagm(x::Pair) = diagm(x[1] => data(x[2])), Δ -> (diag(Δ, x[1]),)
LinearAlgebra.diagm(x::TrackedVector) = track(diagm, x)
@grad diagm(x) = diagm(data(x)), Δ -> (diag(Δ),)
x::TrackedMatrix * y::AbstractMatrix = track(*, x, y) x::TrackedMatrix * y::AbstractMatrix = track(*, x, y)
x::AbstractMatrix * y::TrackedMatrix = track(*, x, y) x::AbstractMatrix * y::TrackedMatrix = track(*, x, y)
x::TrackedMatrix * y::TrackedMatrix = track(*, x, y) x::TrackedMatrix * y::TrackedMatrix = track(*, x, y)

4
test/tracker.jl
View File

@ -3,7 +3,7 @@ using Flux.Tracker, Test, NNlib
using Flux.Tracker: TrackedReal, gradcheck, grad, derivative, checkpoint using Flux.Tracker: TrackedReal, gradcheck, grad, derivative, checkpoint
using NNlib: conv, depthwiseconv using NNlib: conv, depthwiseconv
using Printf: @sprintf using Printf: @sprintf
using LinearAlgebra: Diagonal, dot, LowerTriangular, norm using LinearAlgebra: diagm, dot, LowerTriangular, norm
using Statistics: mean, std using Statistics: mean, std
using Random using Random
# using StatsBase # using StatsBase
@ -127,7 +127,7 @@ end
@test gradtest(kron, rand(5,1), rand(3,1), rand(8,1)) @test gradtest(kron, rand(5,1), rand(3,1), rand(8,1))
@test gradtest(kron, rand(5,2), rand(3,2), rand(8,2)) @test gradtest(kron, rand(5,2), rand(3,2), rand(8,2))
@test gradtest(f-> Matrix(Diagonal(f)), rand(3)) @test gradtest(x -> diagm(0 => x), rand(3))
@test gradtest(W -> inv(log.(W * W)), (5,5)) @test gradtest(W -> inv(log.(W * W)), (5,5))
@test gradtest((A, B) -> A / B , (1,5), (5,5)) @test gradtest((A, B) -> A / B , (1,5), (5,5))