509 lines
18 KiB
Julia
509 lines
18 KiB
Julia
|
include("aux_func.jl")
|
||
|
|
using PlotlyJS: savefig
|
||
|
|
using Statistics
|
||
|
|
using PlotlyJS
|
||
|
|
using Random
|
||
|
|
|
||
|
|
#=
|
||
|
|
Obtain energy data
|
||
|
|
=#
|
||
|
|
|
||
|
|
#mni_folder_1 = "ini_exp_data/"
|
||
|
|
|
||
|
|
|
||
|
|
mni_folder_100 = "exp_100_epochs/";
|
||
|
|
cif_folder_100 = "CIFAR_100_epoch/";
|
||
|
|
|
||
|
|
mni_folder_acc = "data_bounded/";
|
||
|
|
cif_folder_acc = "CIFAR_acc_bound/";
|
||
|
|
|
||
|
|
mni_folder_wat = "data_budget/";
|
||
|
|
cif_folder_wat = "CIFAR_energy_bound/";
|
||
|
|
|
||
|
|
mni_folder_est = "early_stop_res/";
|
||
|
|
cif_folder_est = "CIFAR_early_stop/";
|
||
|
|
|
||
|
|
bayes_model = "bayes";
|
||
|
|
freq_model = "freq";
|
||
|
|
w_type = "watt";
|
||
|
|
e_type = "exp";
|
||
|
|
|
||
|
|
#=
|
||
|
|
Load GPU data
|
||
|
|
=#
|
||
|
|
mni_100_bay_ene = getgpudata(mni_folder_100, bayes_model, w_type, "eo");
|
||
|
|
mni_100_fre_ene = getgpudata(mni_folder_100, freq_model, w_type, "eo");
|
||
|
|
cif_100_bay_ene = getgpudata(cif_folder_100, bayes_model, w_type, "eo");
|
||
|
|
cif_100_fre_ene = getgpudata(cif_folder_100, freq_model, w_type, "eo");
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
#=
|
||
|
|
Define CPU paths
|
||
|
|
=#
|
||
|
|
cif = "cifar";
|
||
|
|
mni = "mnist";
|
||
|
|
bay = "bayes";
|
||
|
|
wat = "cpu_watts";
|
||
|
|
frq = "freq";
|
||
|
|
ram = "ram_use";
|
||
|
|
_100 = "100";
|
||
|
|
acc = "acc";
|
||
|
|
es = "es";
|
||
|
|
wbud = "wbud";
|
||
|
|
|
||
|
|
#=
|
||
|
|
Load CPU data
|
||
|
|
=#
|
||
|
|
bay_cif_100_ene = readcpudata(cif, bay, wat, _100);
|
||
|
|
bay_mni_100_ene = readcpudata(mni, bay, wat, _100);
|
||
|
|
frq_cif_100_ene = readcpudata(cif, frq, wat, _100);
|
||
|
|
frq_mni_100_ene = readcpudata(mni, frq, wat, _100);
|
||
|
|
|
||
|
|
|
||
|
|
for s = 1:5
|
||
|
|
bay_cif_100_ene[s] = round.(getcpuwatt(bay_cif_100_ene[s]))
|
||
|
|
bay_mni_100_ene[s] = round.(getcpuwatt(bay_mni_100_ene[s]))
|
||
|
|
frq_cif_100_ene[s] = round.(getcpuwatt(frq_cif_100_ene[s]))
|
||
|
|
frq_mni_100_ene[s] = round.(getcpuwatt(frq_mni_100_ene[s]))
|
||
|
|
end
|
||
|
|
|
||
|
|
for s = 1:5
|
||
|
|
mni_100_bay_ene[s]["Ene"] = vcat(mni_100_bay_ene[s]["Ene"], bay_mni_100_ene[s])
|
||
|
|
mni_100_fre_ene[s]["Ene"] = vcat(mni_100_fre_ene[s]["Ene"], frq_mni_100_ene[s])
|
||
|
|
cif_100_bay_ene[s]["Ene"] = vcat(cif_100_bay_ene[s]["Ene"], bay_cif_100_ene[s])
|
||
|
|
cif_100_fre_ene[s]["Ene"] = vcat(cif_100_fre_ene[s]["Ene"], frq_cif_100_ene[s])
|
||
|
|
end
|
||
|
|
|
||
|
|
ene_data = Dict("mni" => Dict("bay" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"fre" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])),
|
||
|
|
"cif" => Dict("bay" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"fre" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])))
|
||
|
|
|
||
|
|
#ene_data = Dict("mni" => Dict("bay" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0),
|
||
|
|
# "fre" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0)),
|
||
|
|
# "cif" => Dict("bay" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0),
|
||
|
|
# "fre" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0)))
|
||
|
|
|
||
|
|
for s = 1:5
|
||
|
|
ene_data["mni"]["bay"][s] = sum.(join_vectors(resize1(makechunks(shuffle(mni_100_bay_ene[s]["Ene"]), 100))))
|
||
|
|
ene_data["mni"]["fre"][s] = sum.(join_vectors(resize1(makechunks(shuffle(mni_100_fre_ene[s]["Ene"]), 100))))
|
||
|
|
ene_data["cif"]["bay"][s] = sum.(join_vectors(resize1(makechunks(shuffle(cif_100_bay_ene[s]["Ene"]), 100))))
|
||
|
|
ene_data["cif"]["fre"][s] = sum.(join_vectors(resize1(makechunks(shuffle(cif_100_fre_ene[s]["Ene"]), 100))))
|
||
|
|
end
|
||
|
|
|
||
|
|
#for s = 1:5
|
||
|
|
# ene_data["mni"]["bay"][s] = sum(mni_100_bay_ene[s]["Ene"]) / 100
|
||
|
|
# ene_data["mni"]["fre"][s] = sum(mni_100_fre_ene[s]["Ene"]) / 100
|
||
|
|
# ene_data["cif"]["bay"][s] = sum(cif_100_bay_ene[s]["Ene"]) / 100
|
||
|
|
# ene_data["cif"]["fre"][s] = sum(cif_100_fre_ene[s]["Ene"]) / 100
|
||
|
|
#end
|
||
|
|
|
||
|
|
|
||
|
|
#=
|
||
|
|
Load Accuracy data
|
||
|
|
=#
|
||
|
|
|
||
|
|
mni_100_bay_exp = getgpudata(mni_folder_100, bayes_model, e_type, "eo");
|
||
|
|
mni_100_fre_exp = getgpudata(mni_folder_100, freq_model, e_type, "eo");
|
||
|
|
cif_100_bay_exp = getgpudata(cif_folder_100, bayes_model, e_type, "eo");
|
||
|
|
cif_100_fre_exp = getgpudata(cif_folder_100, freq_model, e_type, "eo");
|
||
|
|
|
||
|
|
|
||
|
|
for i = 1:5
|
||
|
|
mni_100_bay_exp[i] = expdatatodict(mni_100_bay_exp[i])
|
||
|
|
mni_100_fre_exp[i] = expdatatodict(mni_100_fre_exp[i])
|
||
|
|
cif_100_bay_exp[i] = expdatatodict(cif_100_bay_exp[i])
|
||
|
|
cif_100_fre_exp[i] = expdatatodict(cif_100_fre_exp[i])
|
||
|
|
end
|
||
|
|
|
||
|
|
|
||
|
|
original_vectors = Dict("LeNet" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])),
|
||
|
|
"BCNN" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])))
|
||
|
|
|
||
|
|
#=
|
||
|
|
delta_vectors = Dict("LeNet" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])),
|
||
|
|
"BCNN" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])))
|
||
|
|
|
||
|
|
delta2_vectors = Dict("LeNet" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])),
|
||
|
|
"BCNN" => Dict("MNIST" => Dict(1 => [],2 => [],3 => [],4 => [],5 => []),
|
||
|
|
"CIFAR" => Dict(1 => [],2 => [],3 => [],4 => [],5 => [])))
|
||
|
|
=#
|
||
|
|
|
||
|
|
delta_values = Dict("LeNet" => Dict("MNIST" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0),
|
||
|
|
"CIFAR" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0)),
|
||
|
|
"BCNN" => Dict("MNIST" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0),
|
||
|
|
"CIFAR" => Dict(1 => 0.0,2 => 0.0,3 => 0.0,4 => 0.0,5 => 0.0)))
|
||
|
|
|
||
|
|
|
||
|
|
for i in 1:5
|
||
|
|
original_vectors["LeNet"]["MNIST"][i] = (mni_100_fre_exp[i]["acc"] ./ ene_data["mni"]["fre"][i]) * 100
|
||
|
|
original_vectors["BCNN"]["MNIST"][i] = (mni_100_bay_exp[i]["acc"] ./ ene_data["mni"]["bay"][i]) * 100
|
||
|
|
original_vectors["LeNet"]["CIFAR"][i] = (cif_100_fre_exp[i]["acc"] ./ ene_data["cif"]["fre"][i]) * 100
|
||
|
|
original_vectors["BCNN"]["CIFAR"][i] = (cif_100_bay_exp[i]["acc"] ./ ene_data["cif"]["bay"][i]) * 100
|
||
|
|
end
|
||
|
|
|
||
|
|
for i in 1:5
|
||
|
|
delta_values["LeNet"]["MNIST"][i] = mean(approx_δ(original_vectors["LeNet"]["MNIST"][i]))
|
||
|
|
delta_values["BCNN"]["MNIST"][i] = mean(approx_δ(original_vectors["BCNN"]["MNIST"][i]))
|
||
|
|
delta_values["LeNet"]["CIFAR"][i] = mean(approx_δ(original_vectors["LeNet"]["CIFAR"][i]))
|
||
|
|
delta_values["BCNN"]["CIFAR"][i] = mean(approx_δ(original_vectors["BCNN"]["CIFAR"][i]))
|
||
|
|
end
|
||
|
|
|
||
|
|
|
||
|
|
lenet_mnist = zeros(5)
|
||
|
|
bcnn_mnist = zeros(5)
|
||
|
|
|
||
|
|
lenet_cifar = zeros(5)
|
||
|
|
bcnn_cifar = zeros(5)
|
||
|
|
|
||
|
|
|
||
|
|
#=
|
||
|
|
for i in 1:5
|
||
|
|
println("LeNet MNIST Size $(i): $(delta_values["LeNet"]["MNIST"][i])")
|
||
|
|
println("BCNN MNIST Size $(i): $(delta_values["BCNN"]["MNIST"][i])")
|
||
|
|
println("LeNet CIFAR Size $(i): $(delta_values["LeNet"]["CIFAR"][i])")
|
||
|
|
println("BCNN CIFAR Size $(i): $(delta_values["BCNN"]["CIFAR"][i])")
|
||
|
|
end
|
||
|
|
=#
|
||
|
|
|
||
|
|
for i in 1:5
|
||
|
|
lenet_mnist[i] = delta_values["LeNet"]["MNIST"][i]
|
||
|
|
bcnn_mnist[i] = delta_values["BCNN"]["MNIST"][i]
|
||
|
|
lenet_cifar[i] = delta_values["LeNet"]["CIFAR"][i]
|
||
|
|
bcnn_cifar[i] = delta_values["BCNN"]["CIFAR"][i]
|
||
|
|
end
|
||
|
|
|
||
|
|
println("MNIST LeNet Δ: $(mean(lenet_mnist))")
|
||
|
|
println("MNIST BCNN Δ: $(mean(bcnn_mnist))")
|
||
|
|
println("CIFAR LeNet Δ: $(mean(lenet_cifar))")
|
||
|
|
println("CIFAR BCNN Δ: $(mean(bcnn_cifar))")
|
||
|
|
|
||
|
|
|
||
|
|
#=
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["MNIST"][1],
|
||
|
|
name = "LeNet 1 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(211,120,000)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["MNIST"][2],
|
||
|
|
name = "LeNet 2 MNIST",
|
||
|
|
marker = attr(symbol = 17, color = "rgb(255,170,017)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["MNIST"][3],
|
||
|
|
name = "LeNet 3 MNIST",
|
||
|
|
marker = attr(symbol = 2, color = "rgb(255,187,034)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["MNIST"][4],
|
||
|
|
name = "LeNet 4 MNIST",
|
||
|
|
marker = attr(symbol = 0, color = "rgb(255,204,051)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["MNIST"][5],
|
||
|
|
name = "LeNet 5 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(255,195,001)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["CIFAR"][1],
|
||
|
|
name = "LeNet 1 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(055,033,240)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["CIFAR"][2],
|
||
|
|
name = "LeNet 2 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,094,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["CIFAR"][3],
|
||
|
|
name = "LeNet 3 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,126,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["CIFAR"][4],
|
||
|
|
name = "LeNet 4 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,150,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["LeNet"]["CIFAR"][5],
|
||
|
|
name = "LeNet 5 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,167,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
mode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "ΔEfficency",
|
||
|
|
xaxis_title_text = "Epoch";
|
||
|
|
opacity = 0.9,
|
||
|
|
xaxis_range = [0, 20],
|
||
|
|
#xaxis_range = [-1, 5],
|
||
|
|
#xaxis_type = "category",
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "lenet_dE_epoch.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["MNIST"][1],
|
||
|
|
name = "BCNN 1 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(211,120,000)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["MNIST"][2],
|
||
|
|
name = "BCNN 2 MNIST",
|
||
|
|
marker = attr(symbol = 17, color = "rgb(255,170,017)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["MNIST"][3],
|
||
|
|
name = "BCNN 3 MNIST",
|
||
|
|
marker = attr(symbol = 2, color = "rgb(255,187,034)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["MNIST"][4],
|
||
|
|
name = "BCNN 4 MNIST",
|
||
|
|
marker = attr(symbol = 0, color = "rgb(255,204,051)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["MNIST"][5],
|
||
|
|
name = "BCNN 5 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(255,195,001)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["CIFAR"][1],
|
||
|
|
name = "BCNN 1 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(055,033,240)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["CIFAR"][2],
|
||
|
|
name = "BCNN 2 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,094,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["CIFAR"][3],
|
||
|
|
name = "BCNN 3 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,126,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["CIFAR"][4],
|
||
|
|
name = "BCNN 4 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,150,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta_vectors["BCNN"]["CIFAR"][5],
|
||
|
|
name = "BCNN 5 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,167,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
mode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "ΔEfficency",
|
||
|
|
xaxis_title_text = "Epoch";
|
||
|
|
opacity = 0.9,
|
||
|
|
xaxis_range = [0, 20],
|
||
|
|
#xaxis_range = [-1, 5],
|
||
|
|
#xaxis_type = "category",
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "bcnn_dE_epoch.png")
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["MNIST"][1],
|
||
|
|
name = "LeNet 1 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(211,120,000)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["MNIST"][2],
|
||
|
|
name = "LeNet 2 MNIST",
|
||
|
|
marker = attr(symbol = 17, color = "rgb(255,170,017)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["MNIST"][3],
|
||
|
|
name = "LeNet 3 MNIST",
|
||
|
|
marker = attr(symbol = 2, color = "rgb(255,187,034)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["MNIST"][4],
|
||
|
|
name = "LeNet 4 MNIST",
|
||
|
|
marker = attr(symbol = 0, color = "rgb(255,204,051)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["MNIST"][5],
|
||
|
|
name = "LeNet 5 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(255,195,001)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["CIFAR"][1],
|
||
|
|
name = "LeNet 1 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(055,033,240)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["CIFAR"][2],
|
||
|
|
name = "LeNet 2 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,094,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["CIFAR"][3],
|
||
|
|
name = "LeNet 3 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,126,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["CIFAR"][4],
|
||
|
|
name = "LeNet 4 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,150,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["LeNet"]["CIFAR"][5],
|
||
|
|
name = "LeNet 5 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,167,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
mode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "ΔΔEfficency",
|
||
|
|
xaxis_title_text = "Epoch";
|
||
|
|
opacity = 0.9,
|
||
|
|
xaxis_range = [0, 20],
|
||
|
|
#xaxis_range = [-1, 5],
|
||
|
|
#xaxis_type = "category",
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "lenet_ddE_epoch.png")
|
||
|
|
|
||
|
|
|
||
|
|
en_plot = plot(
|
||
|
|
[
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["MNIST"][1],
|
||
|
|
name = "BCNN 1 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(211,120,000)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["MNIST"][2],
|
||
|
|
name = "BCNN 2 MNIST",
|
||
|
|
marker = attr(symbol = 17, color = "rgb(255,170,017)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["MNIST"][3],
|
||
|
|
name = "BCNN 3 MNIST",
|
||
|
|
marker = attr(symbol = 2, color = "rgb(255,187,034)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["MNIST"][4],
|
||
|
|
name = "BCNN 4 MNIST",
|
||
|
|
marker = attr(symbol = 0, color = "rgb(255,204,051)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["MNIST"][5],
|
||
|
|
name = "BCNN 5 MNIST",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(255,195,001)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["CIFAR"][1],
|
||
|
|
name = "BCNN 1 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(055,033,240)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["CIFAR"][2],
|
||
|
|
name = "BCNN 2 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,094,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["CIFAR"][3],
|
||
|
|
name = "BCNN 3 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,126,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["CIFAR"][4],
|
||
|
|
name = "BCNN 4 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,150,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
scatter(
|
||
|
|
#x = ["1", "2", "3", "4", "5"],
|
||
|
|
y = delta2_vectors["BCNN"]["CIFAR"][5],
|
||
|
|
name = "BCNN 5 CIFAR",
|
||
|
|
marker = attr(symbol = 4, color = "rgb(018,167,219)", line_width = 1.0),
|
||
|
|
),
|
||
|
|
],
|
||
|
|
Layout(
|
||
|
|
mode = "overlay",
|
||
|
|
xaxis_tickangle = -45,
|
||
|
|
yaxis_title_text = "ΔΔEfficency",
|
||
|
|
xaxis_title_text = "Epoch";
|
||
|
|
opacity = 0.9,
|
||
|
|
xaxis_range = [0, 20],
|
||
|
|
#xaxis_range = [-1, 5],
|
||
|
|
#xaxis_type = "category",
|
||
|
|
),
|
||
|
|
)
|
||
|
|
savefig(en_plot, "bcnn_ddE_epoch.png")
|
||
|
|
=#
|