1240 lines
40 KiB
Julia
1240 lines
40 KiB
Julia
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using PlotlyJS
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using PlotlyJS: savefig
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include("aux_func.jl")
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using LinearAlgebra
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#using StatsPlots
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#using Statistics
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#using Plots
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#=
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Define GPU paths
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=#
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#mni_folder_1 = "ini_exp_data/"
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mni_folder_100 = "exp_100_epochs/";
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cif_folder_100 = "CIFAR_100_epoch/";
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mni_folder_acc = "data_bounded/";
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cif_folder_acc = "CIFAR_acc_bound/";
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mni_folder_wat = "data_budget/";
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cif_folder_wat = "CIFAR_energy_bound/";
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mni_folder_est = "early_stop_res/";
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cif_folder_est = "CIFAR_early_stop/";
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bayes_model = "bayes";
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freq_model = "freq";
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w_type = "watt";
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e_type = "exp";
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#=
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Load GPU data
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=#
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mni_100_bay_ene = getgpudata(mni_folder_100, bayes_model, w_type, "eo");
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mni_100_fre_ene = getgpudata(mni_folder_100, freq_model, w_type, "eo");
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cif_100_bay_ene = getgpudata(cif_folder_100, bayes_model, w_type, "eo");
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cif_100_fre_ene = getgpudata(cif_folder_100, freq_model, w_type, "eo");
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mni_acc_bay_ene = getgpudata(mni_folder_acc, bayes_model, w_type, "eo");
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mni_acc_fre_ene = getgpudata(mni_folder_acc, freq_model, w_type, "eo");
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cif_acc_bay_ene = getgpudata(cif_folder_acc, bayes_model, w_type, "eo");
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cif_acc_fre_ene = getgpudata(cif_folder_acc, freq_model, w_type, "eo");
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mni_wat_bay_ene = getgpudata(mni_folder_wat, bayes_model, w_type, "eo");
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mni_wat_fre_ene = getgpudata(mni_folder_wat, freq_model, w_type, "eo");
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cif_wat_bay_ene = getgpudata(cif_folder_wat, bayes_model, w_type, "eo");
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cif_wat_fre_ene = getgpudata(cif_folder_wat, freq_model, w_type, "eo");
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mni_est_bay_ene = getgpudata(mni_folder_est, bayes_model, w_type, "eo");
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mni_est_fre_ene = getgpudata(mni_folder_est, freq_model, w_type, "eo");
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cif_est_bay_ene = getgpudata(cif_folder_est, bayes_model, w_type, "eo");
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cif_est_fre_ene = getgpudata(cif_folder_est, freq_model, w_type, "eo");
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#=
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Define CPU paths
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=#
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cif = "cifar";
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mni = "mnist";
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bay = "bayes";
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wat = "cpu_watts";
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frq = "freq";
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ram = "ram_use";
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_100 = "100";
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acc = "acc";
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es = "es";
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wbud = "wbud";
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#=
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Load CPU data
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=#
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bay_cif_100_ene = readcpudata(cif, bay, wat, _100);
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bay_mni_100_ene = readcpudata(mni, bay, wat, _100);
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frq_cif_100_ene = readcpudata(cif, frq, wat, _100);
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frq_mni_100_ene = readcpudata(mni, frq, wat, _100);
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bay_cif_acc_ene = readcpudata(cif, bay, wat, acc);
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bay_mni_acc_ene = readcpudata(mni, bay, wat, acc);
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frq_cif_acc_ene = readcpudata(cif, frq, wat, acc);
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frq_mni_acc_ene = readcpudata(mni, frq, wat, acc);
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bay_cif_wbu_ene = readcpudata(cif, bay, wat, wbud);
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bay_mni_wbu_ene = readcpudata(mni, bay, wat, wbud);
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frq_cif_wbu_ene = readcpudata(cif, frq, wat, wbud);
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frq_mni_wbu_ene = readcpudata(mni, frq, wat, wbud);
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bay_mni_est_ene = readcpudata(mni, bay, wat, es);
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bay_cif_est_ene = readcpudata(cif, bay, wat, es);
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frq_cif_est_ene = readcpudata(cif, frq, wat, es);
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frq_mni_est_ene = readcpudata(mni, frq, wat, es);
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for s = 1:5
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bay_cif_acc_ene[s] = round.(getcpuwatt(bay_cif_acc_ene[s]))
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bay_cif_est_ene[s] = round.(getcpuwatt(bay_cif_est_ene[s]))
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bay_cif_wbu_ene[s] = round.(getcpuwatt(bay_cif_wbu_ene[s]))
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bay_cif_100_ene[s] = round.(getcpuwatt(bay_cif_100_ene[s]))
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bay_mni_acc_ene[s] = round.(getcpuwatt(bay_mni_acc_ene[s]))
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bay_mni_est_ene[s] = round.(getcpuwatt(bay_mni_est_ene[s]))
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bay_mni_wbu_ene[s] = round.(getcpuwatt(bay_mni_wbu_ene[s]))
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bay_mni_100_ene[s] = round.(getcpuwatt(bay_mni_100_ene[s]))
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frq_cif_acc_ene[s] = round.(getcpuwatt(frq_cif_acc_ene[s]))
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frq_cif_est_ene[s] = round.(getcpuwatt(frq_cif_est_ene[s]))
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frq_cif_wbu_ene[s] = round.(getcpuwatt(frq_cif_wbu_ene[s]))
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frq_cif_100_ene[s] = round.(getcpuwatt(frq_cif_100_ene[s]))
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frq_mni_acc_ene[s] = round.(getcpuwatt(frq_mni_acc_ene[s]))
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frq_mni_est_ene[s] = round.(getcpuwatt(frq_mni_est_ene[s]))
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frq_mni_wbu_ene[s] = round.(getcpuwatt(frq_mni_wbu_ene[s]))
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frq_mni_100_ene[s] = round.(getcpuwatt(frq_mni_100_ene[s]))
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end
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for s = 1:5
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mni_100_bay_ene[s]["Ene"] = vcat(mni_100_bay_ene[s]["Ene"], bay_mni_100_ene[s])
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mni_100_fre_ene[s]["Ene"] = vcat(mni_100_fre_ene[s]["Ene"], frq_mni_100_ene[s])
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cif_100_bay_ene[s]["Ene"] = vcat(cif_100_bay_ene[s]["Ene"], bay_cif_100_ene[s])
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cif_100_fre_ene[s]["Ene"] = vcat(cif_100_fre_ene[s]["Ene"], frq_cif_100_ene[s])
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mni_acc_bay_ene[s]["Ene"] = vcat(mni_acc_bay_ene[s]["Ene"], bay_mni_acc_ene[s])
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mni_acc_fre_ene[s]["Ene"] = vcat(mni_acc_fre_ene[s]["Ene"], frq_mni_acc_ene[s])
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cif_acc_bay_ene[s]["Ene"] = vcat(cif_acc_bay_ene[s]["Ene"], bay_cif_acc_ene[s])
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cif_acc_fre_ene[s]["Ene"] = vcat(cif_acc_fre_ene[s]["Ene"], frq_cif_acc_ene[s])
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mni_wat_bay_ene[s]["Ene"] = vcat(mni_wat_bay_ene[s]["Ene"], bay_mni_wbu_ene[s])
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mni_wat_fre_ene[s]["Ene"] = vcat(mni_wat_fre_ene[s]["Ene"], frq_mni_wbu_ene[s])
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cif_wat_bay_ene[s]["Ene"] = vcat(cif_wat_bay_ene[s]["Ene"], bay_cif_wbu_ene[s])
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cif_wat_fre_ene[s]["Ene"] = vcat(cif_wat_fre_ene[s]["Ene"], frq_cif_wbu_ene[s])
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mni_est_bay_ene[s]["Ene"] = vcat(mni_est_bay_ene[s]["Ene"], bay_mni_est_ene[s])
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mni_est_fre_ene[s]["Ene"] = vcat(mni_est_fre_ene[s]["Ene"], frq_mni_est_ene[s])
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cif_est_bay_ene[s]["Ene"] = vcat(cif_est_bay_ene[s]["Ene"], bay_cif_est_ene[s])
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cif_est_fre_ene[s]["Ene"] = vcat(cif_est_fre_ene[s]["Ene"], frq_cif_est_ene[s])
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end
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#=
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Capture all energy means
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=#
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plot_dict = Dict(
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"mni" => Dict(
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1 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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2 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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3 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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4 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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5 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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),
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"cif" => Dict(
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1 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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2 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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3 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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4 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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5 => Dict(
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"100" => Dict("bay" => ([], []), "frq" => ([], [])),
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"acc" => Dict("bay" => ([], []), "frq" => ([], [])),
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"wat" => Dict("bay" => ([], []), "frq" => ([], [])),
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"est" => Dict("bay" => ([], []), "frq" => ([], [])),
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),
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),
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)
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for s = 1:5
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plot_dict["mni"][s]["100"]["bay"] = getuniquevalues(mni_100_bay_ene[s]["Ene"])
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plot_dict["mni"][s]["100"]["frq"] = getuniquevalues(mni_100_fre_ene[s]["Ene"])
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plot_dict["cif"][s]["100"]["bay"] = getuniquevalues(cif_100_bay_ene[s]["Ene"])
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plot_dict["cif"][s]["100"]["frq"] = getuniquevalues(cif_100_fre_ene[s]["Ene"])
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plot_dict["mni"][s]["acc"]["bay"] = getuniquevalues(mni_acc_bay_ene[s]["Ene"])
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plot_dict["mni"][s]["acc"]["frq"] = getuniquevalues(mni_acc_fre_ene[s]["Ene"])
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plot_dict["cif"][s]["acc"]["bay"] = getuniquevalues(cif_acc_bay_ene[s]["Ene"])
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plot_dict["cif"][s]["acc"]["frq"] = getuniquevalues(cif_acc_fre_ene[s]["Ene"])
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plot_dict["mni"][s]["wat"]["bay"] = getuniquevalues(mni_wat_bay_ene[s]["Ene"])
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plot_dict["mni"][s]["wat"]["frq"] = getuniquevalues(mni_wat_fre_ene[s]["Ene"])
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plot_dict["cif"][s]["wat"]["bay"] = getuniquevalues(cif_wat_bay_ene[s]["Ene"])
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plot_dict["cif"][s]["wat"]["frq"] = getuniquevalues(cif_wat_fre_ene[s]["Ene"])
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plot_dict["mni"][s]["est"]["bay"] = getuniquevalues(mni_est_bay_ene[s]["Ene"])
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plot_dict["mni"][s]["est"]["frq"] = getuniquevalues(mni_est_fre_ene[s]["Ene"])
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plot_dict["cif"][s]["est"]["bay"] = getuniquevalues(cif_est_bay_ene[s]["Ene"])
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plot_dict["cif"][s]["est"]["frq"] = getuniquevalues(cif_est_fre_ene[s]["Ene"])
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end
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#=
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# Plot data
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=#
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en_plot = plot(
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[
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bar(
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x = plot_dict["mni"][1]["100"]["frq"][1],
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y = normalize(plot_dict["mni"][1]["100"]["frq"][2]),
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name = "LeNet 1",
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marker = attr(
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color = "rgb(211,120,000)",
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line_color = "rgb(200,100,000)",
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line_width = 1.0,
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opacity = 0.4,
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),
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),
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bar(
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x = plot_dict["mni"][2]["100"]["frq"][1],
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y = normalize(plot_dict["mni"][2]["100"]["frq"][2]),
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name = "LeNet 2",
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marker = attr(
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color = "rgb(255,170,017)",
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line_color = "rgb(200,100,000)",
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line_width = 1.0,
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opacity = 0.4,
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),
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),
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bar(
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x = plot_dict["mni"][3]["100"]["frq"][1],
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y = normalize(plot_dict["mni"][3]["100"]["frq"][2]),
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name = "LeNet 3",
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marker = attr(
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color = "rgb(255,187,034)",
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line_color = "rgb(200,100,000)",
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line_width = 1.0,
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opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Samples",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "mnist_100_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["100"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["100"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["100"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["100"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Samples",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "cifar_100_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Samples %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "mnist_es_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["est"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["est"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["est"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["est"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Sample %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "cifar_es_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Sample %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "mnist_ab_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["acc"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["acc"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["acc"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["acc"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Sample %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "cifar_ab_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][1]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][1]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][2]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][2]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][3]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][3]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][4]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][4]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["mni"][5]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["mni"][5]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Sample %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "mnist_eb_ene.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(211,120,000)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,170,017)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,187,034)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,204,051)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["wat"]["frq"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["wat"]["frq"][2]),
|
||
|
|
name = "LeNet 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(255,221,068)",
|
||
|
|
line_color = "rgb(200,100,000)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][1]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][1]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 1",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(055,033,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][2]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][2]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 2",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,081,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][3]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][3]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 3",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(033,115,240)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][4]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][4]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 4",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(151,177,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
bar(
|
||
|
|
x = plot_dict["cif"][5]["wat"]["bay"][1],
|
||
|
|
y = normalize(plot_dict["cif"][5]["wat"]["bay"][2]),
|
||
|
|
name = "BCNN 5",
|
||
|
|
marker = attr(
|
||
|
|
color = "rgb(051,215,255)",
|
||
|
|
line_color = "rgb(065,043,250)",
|
||
|
|
line_width = 1.0,
|
||
|
|
opacity = 0.4,
|
||
|
|
),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
barmode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "Sample %",
|
||
|
|
xaxis_title_text = "Watt";
|
||
|
|
yaxis_range = [0, 1],
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "cifar_eb_ene.png")
|