kalmar/PropertyT.jl
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Code Issues Releases Wiki Activity

remove references to logger!

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kalmarek 2018-08-19 20:05:45 +02:00
parent 21bff490dd
commit 540946528c
5 changed files with 108 additions and 151 deletions
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9
REQUIRE
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@ -1,9 +1,8 @@
julia julia
JuMP 0.18.0
SCS
IntervalArithmetic
JLD
Memento
AbstractAlgebra AbstractAlgebra
Groups Groups
GroupRings GroupRings
IntervalArithmetic
JuMP 0.18.0
JLD
SCS

62
src/CheckSolution.jl
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@ -43,56 +43,52 @@ function augIdproj(Q::AbstractArray{T,2}) where {T<:Real}
return R return R
end end
function augIdproj(Q::AbstractArray{T,2}, logger) where {T<:Real} function distance_to_cone(Δ::GroupRingElem, λ, Q; wlen::Int=4)
info(logger, "Projecting columns of Q to the augmentation ideal...") info("------------------------------------------------------------")
@logtime logger Q = augIdproj(Q) info("Checking in floating-point arithmetic...")
info("λ = $λ")
info(logger, "Checking that sum of every column contains 0.0... ") @time sos = compute_SOS(parent(Δ), Q)
check = all([zero(T) in sum(view(Q, :, i)) for i in 1:size(Q, 2)])
info(logger, (check? "They do." : "FAILED!"))
@assert check
return Q
end
function distance_to_cone(Δ::GroupRingElem, λ, Q; wlen::Int=4, logger=getlogger())
info(logger, "------------------------------------------------------------")
info(logger, "Checking in floating-point arithmetic...")
info(logger, "λ = $λ")
@logtime logger sos = compute_SOS(parent(Δ), Q)
residue = Δ^2-λ*Δ - sos residue = Δ^2-λ*Δ - sos
info(logger, "ɛ(Δ² - λΔ - ∑ξᵢ*ξᵢ) ≈ $(@sprintf("%.10f", aug(residue)))") info("ɛ(Δ² - λΔ - ∑ξᵢ*ξᵢ) ≈ $(@sprintf("%.10f", aug(residue)))")
L1_norm = norm(residue,1) L1_norm = norm(residue,1)
info(logger, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ≈ $(@sprintf("%.10f", L1_norm))") info("‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ≈ $(@sprintf("%.10f", L1_norm))")
distance = λ - 2^(wlen-1)*L1_norm distance = λ - 2^(wlen-1)*L1_norm
info(logger, "Floating point distance (to positive cone) ≈") info("Floating point distance (to positive cone) ≈")
info(logger, "$(@sprintf("%.10f", distance))") info("$(@sprintf("%.10f", distance))")
info(logger, "") info("")
if distance ≤ 0 if distance ≤ 0
return distance return distance
end end
info("------------------------------------------------------------")
info("Checking in interval arithmetic...")
info("λ ∈ $λ")
λ = @interval(λ) λ = @interval(λ)
eoi = Δ^2 - λ*Δ eoi = Δ^2 - λ*Δ
Q = augIdproj(Q, logger) info("Projecting columns of Q to the augmentation ideal...")
T = eltype(Q)
@time Q = augIdproj(Q)
info(logger, "------------------------------------------------------------") info("Checking that sum of every column contains 0.0... ")
info(logger, "Checking in interval arithmetic...") check = all([zero(T) in sum(view(Q, :, i)) for i in 1:size(Q, 2)])
info(logger, "λ ∈ $λ") info((check? "They do." : "FAILED!"))
@logtime logger sos = compute_SOS(parent(Δ), Q)
@assert check
@time sos = compute_SOS(parent(Δ), Q)
residue = Δ^2-λ*Δ - sos residue = Δ^2-λ*Δ - sos
info(logger, "ɛ(∑ξᵢ*ξᵢ) ∈ $(aug(residue))") info("ɛ(∑ξᵢ*ξᵢ) ∈ $(aug(residue))")
L1_norm = norm(residue,1) L1_norm = norm(residue,1)
info(logger, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ∈ $(L1_norm)") info("‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ∈ $(L1_norm)")
distance = λ - 2^(wlen-1)*L1_norm distance = λ - 2^(wlen-1)*L1_norm
info(logger, "The Augmentation-projected distance (to positive cone) ∈") info("The Augmentation-projected distance (to positive cone) ∈")
info(logger, "$(distance)") info("$(distance)")
info(logger, "") info("")
return distance.lo return distance.lo
end end

33
src/Orbit-wise.jl
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@ -14,7 +14,6 @@ immutable Settings{T<:AbstractMathProgSolver}
upper_bound::Float64 upper_bound::Float64
tol::Float64 tol::Float64
warmstart::Bool warmstart::Bool
logger
end end
prefix(s::Settings) = s.name prefix(s::Settings) = s.name
@ -167,8 +166,8 @@ function init_model(n, sizes)
end end
function create_SDP_problem(sett::Settings) function create_SDP_problem(sett::Settings)
info(sett.logger, "Loading orbit data....") info("Loading orbit data....")
@logtime sett.logger SDP_problem, orb_data = OrbitData(sett); @time SDP_problem, orb_data = OrbitData(sett);
if sett.upper_bound < Inf if sett.upper_bound < Inf
λ = JuMP.getvariable(SDP_problem, :λ) λ = JuMP.getvariable(SDP_problem, :λ)
@ -176,8 +175,8 @@ function create_SDP_problem(sett::Settings)
end end
t = length(orb_data.laplacian) t = length(orb_data.laplacian)
info(sett.logger, "Adding $t constraints ... ") info("Adding $t constraints ... ")
@logtime sett.logger addconstraints!(SDP_problem, orb_data) @time addconstraints!(SDP_problem, orb_data)
return SDP_problem, orb_data return SDP_problem, orb_data
end end
@ -190,14 +189,14 @@ function λandP(m::JuMP.Model, data::OrbitData, warmstart=true)
end end
function λandP(m::JuMP.Model, data::OrbitData, sett::Settings) function λandP(m::JuMP.Model, data::OrbitData, sett::Settings)
info(sett.logger, "Solving SDP problem...") info("Solving SDP problem...")
@logtime sett.logger λ, Ps = λandP(m, data, sett.warmstart) @time λ, Ps = λandP(m, data, sett.warmstart)
info(sett.logger, "Reconstructing P...") info("Reconstructing P...")
preps = load_preps(filename(prepath(sett), :preps), sett.autS) preps = load_preps(filename(prepath(sett), :preps), sett.autS)
@logtime sett.logger recP = reconstruct_sol(preps, data.Us, Ps, data.dims) @time recP = reconstruct_sol(preps, data.Us, Ps, data.dims)
fname = filename(fullpath(sett), :P) fname = filename(fullpath(sett), :P)
save(fname, "origP", Ps, "P", recP) save(fname, "origP", Ps, "P", recP)
@ -223,7 +222,7 @@ function check_property_T(sett::Settings)
files_exists = ex.([:pm, :Δ, :Uπs, :orb, :preps]) files_exists = ex.([:pm, :Δ, :Uπs, :orb, :preps])
if !all(files_exists) if !all(files_exists)
compute_orbit_data(sett.logger, prepath(sett), sett.S, sett.autS, radius=sett.radius) compute_orbit_data(prepath(sett), sett.S, sett.autS, radius=sett.radius)
end end
cond1 = exists(filename(fullpath(sett), :λ)) cond1 = exists(filename(fullpath(sett), :λ))
@ -232,21 +231,21 @@ function check_property_T(sett::Settings)
if !sett.warmstart && cond1 && cond2 if !sett.warmstart && cond1 && cond2
λ, P = λandP(fullpath(sett)) λ, P = λandP(fullpath(sett))
else else
info(sett.logger, "Creating SDP problem...") info("Creating SDP problem...")
SDP_problem, orb_data = create_SDP_problem(sett) SDP_problem, orb_data = create_SDP_problem(sett)
JuMP.setsolver(SDP_problem, sett.solver) JuMP.setsolver(SDP_problem, sett.solver)
info(sett.logger, Base.repr(SDP_problem)) info(Base.repr(SDP_problem))
λ, P = λandP(SDP_problem, orb_data, sett) λ, P = λandP(SDP_problem, orb_data, sett)
end end
info(sett.logger, "λ = $λ") info("λ = $λ")
info(sett.logger, "sum(P) = $(sum(P))") info("sum(P) = $(sum(P))")
info(sett.logger, "maximum(P) = $(maximum(P))") info("maximum(P) = $(maximum(P))")
info(sett.logger, "minimum(P) = $(minimum(P))") info("minimum(P) = $(minimum(P))")
isapprox(eigvals(P), abs.(eigvals(P)), atol=sett.tol) || isapprox(eigvals(P), abs.(eigvals(P)), atol=sett.tol) ||
warn("The solution matrix doesn't seem to be positive definite!") warn("The solution matrix doesn't seem to be positive definite!")
return interpret_results(sett.name, sett.S, sett.radius, λ, P, sett.logger) return interpret_results(sett.name, sett.S, sett.radius, λ, P)
end end

40
src/OrbitDecomposition.jl
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@ -128,51 +128,51 @@ function orthSVD{T}(M::AbstractMatrix{T})
return fact[:U][:,1:M_rank] return fact[:U][:,1:M_rank]
end end
function compute_orbit_data{T<:GroupElem}(logger, name::String, S::Vector{T}, autS::Group; radius=2) function compute_orbit_data{T<:GroupElem}(name::String, S::Vector{T}, autS::Group; radius=2)
isdir(name) || mkdir(name) isdir(name) || mkdir(name)
info(logger, "Generating ball of radius $(2*radius)") info("Generating ball of radius $(2*radius)")
# TODO: Fix that by multiple dispatch? # TODO: Fix that by multiple dispatch?
G = parent(first(S)) G = parent(first(S))
Id = (isa(G, Ring) ? one(G) : G()) Id = (isa(G, Ring) ? one(G) : G())
@logtime logger E_2R, sizes = Groups.generate_balls(S, Id, radius=2*radius); @time E_2R, sizes = Groups.generate_balls(S, Id, radius=2*radius);
info(logger, "Balls of sizes $sizes.") info("Balls of sizes $sizes.")
info(logger, "Reverse dict") info("Reverse dict")
@logtime logger E_rdict = GroupRings.reverse_dict(E_2R) @time E_rdict = GroupRings.reverse_dict(E_2R)
info(logger, "Product matrix") info("Product matrix")
@logtime logger pm = GroupRings.create_pm(E_2R, E_rdict, sizes[radius], twisted=true) @time pm = GroupRings.create_pm(E_2R, E_rdict, sizes[radius], twisted=true)
RG = GroupRing(G, E_2R, E_rdict, pm) RG = GroupRing(G, E_2R, E_rdict, pm)
Δ = PropertyT.spLaplacian(RG, S) Δ = PropertyT.spLaplacian(RG, S)
@assert GroupRings.aug(Δ) == 0 @assert GroupRings.aug(Δ) == 0
save(filename(name, :Δ), "Δ", Δ.coeffs) save(filename(name, :Δ), "Δ", Δ.coeffs)
save(filename(name, :pm), "pm", pm) save(filename(name, :pm), "pm", pm)
info(logger, "Decomposing E into orbits of $(autS)") info("Decomposing E into orbits of $(autS)")
@logtime logger orbs = orbit_decomposition(autS, E_2R, E_rdict) @time orbs = orbit_decomposition(autS, E_2R, E_rdict)
@assert sum(length(o) for o in orbs) == length(E_2R) @assert sum(length(o) for o in orbs) == length(E_2R)
info(logger, "E consists of $(length(orbs)) orbits!") info("E consists of $(length(orbs)) orbits!")
save(joinpath(name, "orbits.jld"), "orbits", orbs) save(joinpath(name, "orbits.jld"), "orbits", orbs)
info(logger, "Action matrices") info("Action matrices")
@logtime logger reps = perm_reps(autS, E_2R[1:sizes[radius]], E_rdict) @time reps = perm_reps(autS, E_2R[1:sizes[radius]], E_rdict)
save_preps(filename(name, :preps), reps) save_preps(filename(name, :preps), reps)
reps = matrix_reps(reps) reps = matrix_reps(reps)
info(logger, "Projections") info("Projections")
@logtime logger autS_mps = Projections.rankOne_projections(GroupRing(autS)); @time autS_mps = Projections.rankOne_projections(GroupRing(autS));
@logtime logger π_E_projections = [Cstar_repr(p, reps) for p in autS_mps] @time π_E_projections = [Cstar_repr(p, reps) for p in autS_mps]
info(logger, "Uπs...") info("Uπs...")
@logtime logger Uπs = orthSVD.(π_E_projections) @time Uπs = orthSVD.(π_E_projections)
multiplicities = size.(Uπs,2) multiplicities = size.(Uπs,2)
info(logger, "multiplicities = $multiplicities") info("multiplicities = $multiplicities")
dimensions = [Int(p[autS()]*Int(order(autS))) for p in autS_mps]; dimensions = [Int(p[autS()]*Int(order(autS))) for p in autS_mps];
info(logger, "dimensions = $dimensions") info("dimensions = $dimensions")
@assert dot(multiplicities, dimensions) == sizes[radius] @assert dot(multiplicities, dimensions) == sizes[radius]
save(joinpath(name, "U_pis.jld"), save(joinpath(name, "U_pis.jld"),

115
src/PropertyT.jl
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@ -1,3 +1,4 @@
__precompile__()
module PropertyT module PropertyT
using AbstractAlgebra using AbstractAlgebra
@ -10,55 +11,6 @@ using JLD
using JuMP using JuMP
using MathProgBase using MathProgBase
using Memento
function setup_logging(name::String, handlername::Symbol)
isdir(name) || mkdir(name)
logger = Memento.config!("info", fmt="{date}| {msg}")
handler = DefaultHandler(filename(name, Symbol(handlername)), DefaultFormatter("{date}| {msg}"))
logger.handlers[String(handlername)] = handler
return logger
end
macro logtime(logger, ex)
quote
local stats = Base.gc_num()
local elapsedtime = Base.time_ns()
local val = $(esc(ex))
elapsedtime = Base.time_ns() - elapsedtime
local diff = Base.GC_Diff(Base.gc_num(), stats)
local ts = time_string(elapsedtime, diff.allocd, diff.total_time,
Base.gc_alloc_count(diff))
$(esc(info))($(esc(logger)), ts)
val
end
end
function time_string(elapsedtime, bytes, gctime, allocs)
str = @sprintf("%10.6f seconds", elapsedtime/1e9)
if bytes != 0 || allocs != 0
bytes, mb = Base.prettyprint_getunits(bytes, length(Base._mem_units), Int64(1024))
allocs, ma = Base.prettyprint_getunits(allocs, length(Base._cnt_units), Int64(1000))
if ma == 1
str*= @sprintf(" (%d%s allocation%s: ", allocs, Base._cnt_units[ma], allocs==1 ? "" : "s")
else
str*= @sprintf(" (%.2f%s allocations: ", allocs, Base._cnt_units[ma])
end
if mb == 1
str*= @sprintf("%d %s%s", bytes, Base._mem_units[mb], bytes==1 ? "" : "s")
else
str*= @sprintf("%.3f %s", bytes, Base._mem_units[mb])
end
if gctime > 0
str*= @sprintf(", %.2f%% gc time", 100*gctime/elapsedtime)
end
str*=")"
elseif gctime > 0
str*= @sprintf(", %.2f%% gc time", 100*gctime/elapsedtime)
end
return str
end
exists(fname::String) = isfile(fname) || islink(fname) exists(fname::String) = isfile(fname) || islink(fname)
filename(prefix, s::Symbol) = filename(prefix, Val{s}) filename(prefix, s::Symbol) = filename(prefix, Val{s})
@ -92,15 +44,14 @@ function Laplacian(name::String, G::Group)
return Δ return Δ
end end
function Laplacian{T<:GroupElem}(S::Vector{T}, Id::T, function Laplacian{T<:GroupElem}(S::Vector{T}, Id::T; radius::Int=2)
logger=getlogger(); radius::Int=2)
info(logger, "Generating metric ball of radius $radius...") info("Generating metric ball of radius $radius...")
@logtime logger E_R, sizes = Groups.generate_balls(S, Id, radius=2*radius) @time E_R, sizes = Groups.generate_balls(S, Id, radius=2*radius)
info(logger, "Generated balls of sizes $sizes.") info("Generated balls of sizes $sizes.")
info(logger, "Creating product matrix...") info("Creating product matrix...")
@logtime logger pm = GroupRings.create_pm(E_R, GroupRings.reverse_dict(E_R), sizes[radius]; twisted=true) @time pm = GroupRings.create_pm(E_R, GroupRings.reverse_dict(E_R), sizes[radius]; twisted=true)
RG = GroupRing(parent(Id), E_R, pm) RG = GroupRing(parent(Id), E_R, pm)
@ -155,15 +106,14 @@ Kazhdan(λ::Number,N::Integer) = sqrt(2*λ/N)
function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius, warm::Bool=false) function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius, warm::Bool=false)
isdir(name) || mkdir(name) isdir(name) || mkdir(name)
logger = Memento.getlogger()
if exists(filename(name, :pm)) && exists(filename(name, :Δ)) if exists(filename(name, :pm)) && exists(filename(name, :Δ))
# cached # cached
info(logger, "Loading precomputed Δ...") info("Loading precomputed Δ...")
Δ = Laplacian(name, parent(S[1])) Δ = Laplacian(name, parent(S[1]))
else else
# compute # compute
Δ = Laplacian(S, Id, logger, radius=radius) Δ = Laplacian(S, Id, radius=radius)
save(filename(name, :pm), "pm", parent(Δ).pm) save(filename(name, :pm), "pm", parent(Δ).pm)
save(filename(name, :Δ), "Δ", Δ.coeffs) save(filename(name, :Δ), "Δ", Δ.coeffs)
end end
@ -171,48 +121,61 @@ function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius,
fullpath = joinpath(name, string(upper_bound)) fullpath = joinpath(name, string(upper_bound))
isdir(fullpath) || mkdir(fullpath) isdir(fullpath) || mkdir(fullpath)
cond1 = exists(filename(fullpath, :λ)) files_exist = exists(filename(fullpath, :λ)) && exists(filename(fullpath, :P))
cond2 = exists(filename(fullpath, :P))
if !(warm) && cond1 && cond2 if !(warm) && files_exist
info(logger, "Loading precomputed λ, P...") info("Loading precomputed λ, P...")
λ, P = λandP(fullpath) λ, P = λandP(fullpath)
else else
info(logger, "Creating SDP problem...") info("Creating SDP problem...")
SDP_problem, varλ, varP = create_SDP_problem(Δ, constraints(parent(Δ).pm), upper_bound=upper_bound) SDP_problem, varλ, varP = create_SDP_problem(Δ, constraints(parent(Δ).pm), upper_bound=upper_bound)
JuMP.setsolver(SDP_problem, solver) JuMP.setsolver(SDP_problem, solver)
info(logger, Base.repr(SDP_problem)) info(Base.repr(SDP_problem))
@logtime logger λ, P = λandP(fullpath, SDP_problem, varλ, varP) if warm && isfile(filename(name, :warm))
ws = load(filename(name, :warm), "warmstart")
else
ws = nothing
end end
info(logger, "λ = $λ") @time λ, P, ws = λandP(SDP_problem, varλ, varP, warmstart=ws, solverlog=filename(name, :solverlog))
info(logger, "sum(P) = $(sum(P))")
info(logger, "maximum(P) = $(maximum(P))") if λ > 0
info(logger, "minimum(P) = $(minimum(P))") save(filename(name, :λ), "λ", λ)
save(filename(name, :P), "P", P)
save(filename(name, :warm), "warmstart", ws)
else
throw(ErrorException("Solver did not produce a valid solution: λ = $λ"))
end
end
info("λ = $λ")
info("sum(P) = $(sum(P))")
info("maximum(P) = $(maximum(P))")
info("minimum(P) = $(minimum(P))")
isapprox(eigvals(P), abs.(eigvals(P)), atol=tol) || isapprox(eigvals(P), abs.(eigvals(P)), atol=tol) ||
warn("The solution matrix doesn't seem to be positive definite!") warn("The solution matrix doesn't seem to be positive definite!")
return interpret_results(name, S, radius, λ, P, logger) return interpret_results(name, S, radius, λ, P)
end end
function interpret_results(name, S, radius, λ, P, logger) function interpret_results(name, S, radius, λ, P)
RG = GroupRing(parent(first(S)), load(filename(name, :pm), "pm")) RG = GroupRing(parent(first(S)), load(filename(name, :pm), "pm"))
Δ = GroupRingElem(load(filename(name, :Δ), "Δ")[:, 1], RG) Δ = GroupRingElem(load(filename(name, :Δ), "Δ")[:, 1], RG)
@logtime logger Q = real(sqrtm(Symmetric(P))) @time Q = real(sqrtm(Symmetric(P)))
sgap = distance_to_cone(Δ, λ, Q, wlen=2*radius, logger=logger) sgap = distance_to_cone(Δ, λ, Q, wlen=2*radius)
if sgap > 0 if sgap > 0
Kazhdan_κ = Kazhdan(sgap, length(S)) Kazhdan_κ = Kazhdan(sgap, length(S))
if Kazhdan_κ > 0 if Kazhdan_κ > 0
info(logger, "κ($name, S) ≥ $Kazhdan_κ: Group HAS property (T)!") info("κ($name, S) ≥ $Kazhdan_κ: Group HAS property (T)!")
return true return true
end end
end end
info(logger, "λ($name, S) ≥ $sgap < 0: Tells us nothing about property (T)") info("λ($name, S) ≥ $sgap < 0: Tells us nothing about property (T)")
return false return false
end end