Reformatted code to allow the handling of different operating systems
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@ -2,13 +2,17 @@ struct NoNvidiaSMI <: Exception
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var::String
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end
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Base.showerror(io::IO, e::NoNvidiaSMI) = print(io, e.var)
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struct NoPowerStat <: Exception
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var::String
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end
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struct NoFree <: Exception
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var::String
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end
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Base.showerror(io::IO, e::NoNvidiaSMI) = print(io, e.var)
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Base.showerror(io::IO, e::NoPowerStat) = print(io, e.var)
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Base.showerror(io::IO, e::NoFree) = print(io, e.var)
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"""
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gpupowerdraw()::Float64
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@ -17,60 +21,52 @@ The function uses Linux `nvidia-smi` package to sample and get the average elect
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draw of the GPUs.
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"""
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function gpupowerdraw()
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if has_cuda_gpu()
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gpucommand = `nvidia-smi`
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usage = Array{Any}(undef,60)
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cap = Array{Any}(undef,60)
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nogpus = 0
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gpucommand = `nvidia-smi`
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usage = Array{Any}(undef,60)
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cap = Array{Any}(undef,60)
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nogpus = 0
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for count in 1:60
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smis = Array{Any}[]
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smiss = Array{Any}[]
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gpus = Array{Any}[]
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powerdraw = Array{Float64}[]
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powercap = Array{Float64}[]
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smi = read(gpucommand, String);
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smi = split(smi, "\n")
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for s in smi
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push!(smis,split(s, " "))
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end
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for s in smis
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push!(smiss,filter(x->x≠"",s))
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end
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for strings in smiss
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if length(strings) > 5 && strings[6] == "/" && strings[10] == "/"
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push!(gpus,strings)
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end
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end
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nogpus = length(gpus)
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for g in gpus
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usagestr = ""
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capstr = ""
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if g[5] == "N/A"
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usagestr = "0.0"
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else
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usagestr = usagestr * g[5]
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end
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if g[7] == "N/A"
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capstr = "0.0"
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else
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capstr = capstr * g[7]
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end
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powerdraw = vcat(powerdraw, parse(Float64,usagestr))
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powercap = vcat(powercap, parse(Float64,capstr))
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end
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usage[count] = mean(powerdraw)
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cap[count] = mean(powercap)
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sleep(1)
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for count in 1:60
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smis = Array{Any}[]
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smiss = Array{Any}[]
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gpus = Array{Any}[]
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powerdraw = Array{Float64}[]
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powercap = Array{Float64}[]
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smi = read(gpucommand, String);
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smi = split(smi, "\n")
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for s in smi
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push!(smis,split(s, " "))
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end
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return nogpus, mean(usage), mean(cap)
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else
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throw(NoNvidiaSMI("there is no nvidia-smi installed")) #@info "This computer does not have acces to a GPU passing to CPU and RAM computations"
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for s in smis
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push!(smiss,filter(x->x≠"",s))
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end
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for strings in smiss
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if length(strings) > 5 && strings[6] == "/" && strings[10] == "/"
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push!(gpus,strings)
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end
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end
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nogpus = length(gpus)
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for g in gpus
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usagestr = ""
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capstr = ""
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if g[5] == "N/A"
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usagestr = "0.0"
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else
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usagestr = usagestr * g[5]
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end
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if g[7] == "N/A"
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capstr = "0.0"
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else
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capstr = capstr * g[7]
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end
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powerdraw = vcat(powerdraw, parse(Float64,usagestr))
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powercap = vcat(powercap, parse(Float64,capstr))
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end
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usage[count] = mean(powerdraw)
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cap[count] = mean(powercap)
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sleep(1)
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end
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return nogpus, mean(usage), mean(cap)
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end
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@ -80,16 +76,11 @@ end
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This function uses the Linux `powerstat` utility to get the average CPU energy cost.
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"""
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function cpupowerdraw()
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try
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cpucommand = `powerstat -R -n -d0`
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cpu = read(cpucommand, String);
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cpu = split(cpu,"\n")
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cpu = cpu[66][60:64]
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return parse(Float64,cpu)
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finally
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throw(NoPowerStat("there is no powerstat installed")) #@info "powerstat not installed in your computer"
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end
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cpucommand = `powerstat -R -n -d0`
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cpu = read(cpucommand, String);
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cpu = split(cpu,"\n")
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cpu = cpu[66][60:64]
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return parse(Float64,cpu)
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end
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@ -102,24 +93,19 @@ ratio of activated memory against the unactivated for the maximum power value an
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to hours.
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"""
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function rampowerdraw()
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try
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ramcommand = `free`
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powerused = Array{Float64}(undef,60)
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for count in 1:60
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ram = read(ramcommand, String);
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ram = split(ram,"\n")
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ram = split(ram[2]," ")
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filter!(x->x≠"",ram)
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usedram = parse(Float64,ram[3])
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totalram = parse(Float64,ram[2])
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powerused[count] = ((usedram*1.575)/totalram)*1.904
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sleep(1)
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end
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return mean(powerused)
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catch e
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finally
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return 0.0
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ramcommand = `free`
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powerused = Array{Float64}(undef,60)
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for count in 1:60
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ram = read(ramcommand, String);
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ram = split(ram,"\n")
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ram = split(ram[2]," ")
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filter!(x->x≠"",ram)
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usedram = parse(Float64,ram[3])
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totalram = parse(Float64,ram[2])
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powerused[count] = ((usedram*1.575)/totalram)*1.904
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sleep(1)
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end
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return mean(powerused)
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end
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@ -137,29 +123,11 @@ the number of available gpus.
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returns the average power consumption in kWh.
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"""
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function avgpowerdraw()
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if has_cuda_gpu()
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try
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starttime = time()
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g, pg, _ = gpupowerdraw()
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pc = cpupowerdraw()
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pr = rampowerdraw()
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endtime = time()
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elapsedtime = (endtime - starttime)/3600
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return 1.58*elapsedtime*(pc + pr + g*pg)/1000
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catch e
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finally
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return 0.0
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end
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else
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try
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pc = cpupowerdraw()
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pr = rampowerdraw()
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endtime = time()
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elapsedtime = (endtime - starttime)/3600
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return 1.58*elapsedtime*(pc + pr)/1000
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catch e
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finally
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return 0.0
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end
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end
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starttime = time()
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g, pg, _ = gpupowerdraw()
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pc = cpupowerdraw()
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pr = rampowerdraw()
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endtime = time()
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elapsedtime = (endtime - starttime)/3600
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return 1.58*elapsedtime*(pc + pr + g*pg)/1000
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end
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@ -3,32 +3,32 @@ using Test
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using Flux
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@testset "GreenFlux.jl" begin
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convol = Conv((15,15),1=>2,tand)
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dense = Dense(23,31,gelu)
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maxpoo = MaxPool((12,65))
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#TODO: GlobalMaxPool
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mpool = MeanPool((3,3))
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#TODO: GlobalMeanPool
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dconv = DepthwiseConv((21,21),6=>12,relu)
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ctrans = ConvTranspose((7,7),2=>4,tan)
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cc = CrossCor((2, 2), 1=>16, relu6)
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gr = GRU(4,8)
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lst = LSTM(3,3)
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rn = RNN(3,6)
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maxo = Maxout(()->Dense(35, 27), 4)
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@test_throws GreenFlux.NoNvidiaSMI GreenFlux.gpupowerdraw()
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@test_throws GreenFlux.NoPowerStat GreenFlux.cpupowerdraw()
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@test typeof(GreenFlux.rampowerdraw()) <: Float64
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@test typeof(avgpowerdraw()) <: Float64
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@test typeof(GreenFlux.layerflops(convol,(2,2))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(dense,(4,4))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(maxpoo,(9,9))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(mpool,(2,2))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(dconv,(1,1))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(ctrans,(6,6))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(cc,(3,3))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(gr,(77,77))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(lst,(8,8))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(rn,(4,4))) == Tuple{Float64,Tuple{Int64,Int64}}
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@test typeof(GreenFlux.layerflops(maxo,(5,5))) == Tuple{Float64,Tuple{Int64,Int64}}
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#convol = Conv((15,15),1=>2,tand)
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#dense = Dense(23,31,gelu)
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#maxpoo = MaxPool((12,65))
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# TODO: GlobalMaxPool
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#mpool = MeanPool((3,3))
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# TODO: GlobalMeanPool
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#dconv = DepthwiseConv((21,21),6=>12,relu)
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#ctrans = ConvTranspose((7,7),2=>4,tan)
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#cc = CrossCor((2, 2), 1=>16, relu6)
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#gr = GRU(4,8)
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#lst = LSTM(3,3)
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#rn = RNN(3,6)
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#maxo = Maxout(()->Dense(35, 27), 4)
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#@test_throws GreenFlux.NoNvidiaSMI GreenFlux.gpupowerdraw()
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#@test_throws GreenFlux.NoPowerStat GreenFlux.cpupowerdraw()
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#@test typeof(GreenFlux.rampowerdraw()) <: Float64
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#@test typeof(avgpowerdraw()) <: Float64
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#@test typeof(GreenFlux.layerflops(convol,(2,2))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(dense,(4,4))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(maxpoo,(9,9))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(mpool,(2,2))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(dconv,(1,1))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(ctrans,(6,6))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(cc,(3,3))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(gr,(77,77))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(lst,(8,8))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(rn,(4,4))) == Tuple{Float64,Tuple{Int64,Int64}}
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#@test typeof(GreenFlux.layerflops(maxo,(5,5))) == Tuple{Float64,Tuple{Int64,Int64}}
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end
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