diff --git a/experiments_SNFROM/advect_fourier1D/snf.jl b/experiments_SNFROM/advect_fourier1D/snf.jl index 34e4fe95..ebbc8dc6 100644 --- a/experiments_SNFROM/advect_fourier1D/snf.jl +++ b/experiments_SNFROM/advect_fourier1D/snf.jl @@ -17,6 +17,7 @@ device = Lux.gpu_device() # makedata_kws = (; Ix = :, _Ib = [1,], Ib_ = [1,], _It = :, It_ = :) # train_SNF_compare(latent, datafile, modeldir, train_params; rng, device) +evolve_kw = (; hyper_reduction = true,) postprocess_SNF(prob, datafile, modelfile; rng, device) #======================================================# nothing diff --git a/experiments_SNFROM/advect_fourier2D/dump/plt_training_01.png b/experiments_SNFROM/advect_fourier2D/dump/plt_training_01.png new file mode 100644 index 00000000..e35dda2c Binary files /dev/null and b/experiments_SNFROM/advect_fourier2D/dump/plt_training_01.png differ diff --git a/experiments_SNFROM/advect_fourier2D/dump/plt_training_02.png b/experiments_SNFROM/advect_fourier2D/dump/plt_training_02.png 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b/experiments_SNFROM/advect_fourier2D/dump/results/train_u1_1_time_5_error.png new file mode 100644 index 00000000..e4ea4000 Binary files /dev/null and b/experiments_SNFROM/advect_fourier2D/dump/results/train_u1_1_time_5_error.png differ diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_01.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_01.txt new file mode 100644 index 00000000..7ef5666b --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_01.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 0.07959339 || TEST LOSS: 0.07959339 +#======================# +TRAIN STATS +R² score: 0.89782786 +MSE (mean SQR error): 0.07950444 +RMSE (Root MSE): 0.28196532 +MAE (mean ABS error): 0.083624355 +maxAE (max ABS error) 4.9364767 +Lipschitz bound: 2.9390372e6 + +#======================# +#======================# +TEST STATS +R² score: 0.89782786 +MSE (mean SQR error): 0.07950444 +RMSE (Root MSE): 0.28196532 +MAE (mean ABS error): 0.083624355 +maxAE (max ABS error) 4.9364767 +Lipschitz bound: 2.9390372e6 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_02.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_02.txt new file mode 100644 index 00000000..af747ab5 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_02.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 9.108968e-5 || TEST LOSS: 9.108968e-5 +#======================# +TRAIN STATS +R² score: 0.9999883 +MSE (mean SQR error): 1.1684139e-5 +RMSE (Root MSE): 0.0034182067 +MAE (mean ABS error): 0.0013902619 +maxAE (max ABS error) 0.17474842 +Lipschitz bound: 1.4389324e7 + +#======================# +#======================# +TEST STATS +R² score: 0.9999883 +MSE (mean SQR error): 1.1684139e-5 +RMSE (Root MSE): 0.0034182067 +MAE (mean ABS error): 0.0013902619 +maxAE (max ABS error) 0.17474842 +Lipschitz bound: 1.4389324e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_03.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_03.txt new file mode 100644 index 00000000..b49bdc1a --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_03.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 6.393927e-5 || TEST LOSS: 6.393927e-5 +#======================# +TRAIN STATS +R² score: 0.99999785 +MSE (mean SQR error): 2.164636e-6 +RMSE (Root MSE): 0.0014712702 +MAE (mean ABS error): 0.00066710263 +maxAE (max ABS error) 0.07369709 +Lipschitz bound: 2.0018566e7 + +#======================# +#======================# +TEST STATS +R² score: 0.99999785 +MSE (mean SQR error): 2.1646363e-6 +RMSE (Root MSE): 0.0014712703 +MAE (mean ABS error): 0.00066710263 +maxAE (max ABS error) 0.07369709 +Lipschitz bound: 2.0018566e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_04.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_04.txt new file mode 100644 index 00000000..6a3c45bc --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_04.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 4.8295835e-5 || TEST LOSS: 4.8295835e-5 +#======================# +TRAIN STATS +R² score: 0.9999996 +MSE (mean SQR error): 4.428761e-7 +RMSE (Root MSE): 0.00066548935 +MAE (mean ABS error): 0.00040202946 +maxAE (max ABS error) 0.030995367 +Lipschitz bound: 2.5403956e7 + +#======================# +#======================# +TEST STATS +R² score: 0.9999996 +MSE (mean SQR error): 4.42876e-7 +RMSE (Root MSE): 0.0006654893 +MAE (mean ABS error): 0.00040202946 +maxAE (max ABS error) 0.030995367 +Lipschitz bound: 2.5403956e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_05.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_05.txt new file mode 100644 index 00000000..6ba83b07 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_05.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 4.1022606e-5 || TEST LOSS: 4.1022606e-5 +#======================# +TRAIN STATS +R² score: 0.9999997 +MSE (mean SQR error): 3.0104553e-7 +RMSE (Root MSE): 0.0005486762 +MAE (mean ABS error): 0.00033684052 +maxAE (max ABS error) 0.022165298 +Lipschitz bound: 2.7718932e7 + +#======================# +#======================# +TEST STATS +R² score: 0.9999997 +MSE (mean SQR error): 3.0104553e-7 +RMSE (Root MSE): 0.0005486762 +MAE (mean ABS error): 0.00033684052 +maxAE (max ABS error) 0.022165298 +Lipschitz bound: 2.7718932e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_06.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_06.txt new file mode 100644 index 00000000..9cf7b6e2 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_06.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 3.662684e-5 || TEST LOSS: 3.662684e-5 +#======================# +TRAIN STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.568104e-7 +RMSE (Root MSE): 0.0005067646 +MAE (mean ABS error): 0.00032269835 +maxAE (max ABS error) 0.020819664 +Lipschitz bound: 2.8856308e7 + +#======================# +#======================# +TEST STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.568104e-7 +RMSE (Root MSE): 0.0005067646 +MAE (mean ABS error): 0.00032269835 +maxAE (max ABS error) 0.020819664 +Lipschitz bound: 2.8856308e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_07.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_07.txt new file mode 100644 index 00000000..36032e34 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_07.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 3.377672e-5 || TEST LOSS: 3.377672e-5 +#======================# +TRAIN STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.4681898e-7 +RMSE (Root MSE): 0.0004968088 +MAE (mean ABS error): 0.00032304114 +maxAE (max ABS error) 0.018532751 +Lipschitz bound: 2.9604058e7 + +#======================# +#======================# +TEST STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.46819e-7 +RMSE (Root MSE): 0.00049680885 +MAE (mean ABS error): 0.00032304114 +maxAE (max ABS error) 0.018532751 +Lipschitz bound: 2.9604058e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/dump/statistics_08.txt b/experiments_SNFROM/advect_fourier2D/dump/statistics_08.txt new file mode 100644 index 00000000..1c990232 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/dump/statistics_08.txt @@ -0,0 +1,21 @@ +Epoch [0 / 0] TRAIN LOSS: 3.1731557e-5 || TEST LOSS: 3.1731557e-5 +#======================# +TRAIN STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.1531628e-7 +RMSE (Root MSE): 0.00046402184 +MAE (mean ABS error): 0.00030401754 +maxAE (max ABS error) 0.018846512 +Lipschitz bound: 3.0150234e7 + +#======================# +#======================# +TEST STATS +R² score: 0.99999976 +MSE (mean SQR error): 2.1531628e-7 +RMSE (Root MSE): 0.00046402184 +MAE (mean ABS error): 0.00030401754 +maxAE (max ABS error) 0.018846512 +Lipschitz bound: 3.0150234e7 + +#======================# diff --git a/experiments_SNFROM/advect_fourier2D/snf.jl b/experiments_SNFROM/advect_fourier2D/snf.jl new file mode 100644 index 00000000..b6922821 --- /dev/null +++ b/experiments_SNFROM/advect_fourier2D/snf.jl @@ -0,0 +1,24 @@ +# +using NeuralROMs +joinpath(pkgdir(NeuralROMs), "experiments_SNFROM", "compare.jl") |> include +#======================================================# + +rng = Random.default_rng() +Random.seed!(rng, 199) + +prob = Advection2D(0.25f0, 0.25f0) +datafile = joinpath(@__DIR__, "data_advect/", "data.jld2") +modeldir = joinpath(@__DIR__, "dump") +modelfile = joinpath(modeldir, "model_08.jld2") +device = Lux.gpu_device() + +# latent = 2 +# batchsize_ = (128 * 128) * 500 ÷ 4 +# makedata_kws = (; Ix = :, _Ib = [1,], Ib_ = [1,], _It = :, It_ = :) +# train_params = (; E = 1400, wd = 128, α = 0f-0, γ = 1f-2, makedata_kws, batchsize_) +# train_SNF_compare(latent, datafile, modeldir, train_params; rng, device) + +evolve_kw = (; hyper_reduction = true) +postprocess_SNF(prob, datafile, modelfile; rng, evolve_kw, device) +#======================================================# +nothing diff --git a/experiments_SNFROM/burgers_fourier1D/burgers1d_compare.jl b/experiments_SNFROM/burgers_fourier1D/burgers1d_compare.jl index 8fe31861..3622b62b 100644 --- a/experiments_SNFROM/burgers_fourier1D/burgers1d_compare.jl +++ b/experiments_SNFROM/burgers_fourier1D/burgers1d_compare.jl @@ -33,20 +33,20 @@ modeldir_CAE = joinpath(@__DIR__, "model_CAE$(l0)") # Lee, Carlberg modeldir_SNW = joinpath(@__DIR__, "model_SNW$(l0)") # us (Weight decay) modeldir_SNL = joinpath(@__DIR__, "model_SNL$(l0)") # us (Lipschitz) -# train PCA -train_PCA(datafile, modeldir_PCA, l_pca; rng, makedata_kws, device) - -# train_CAE -train_params_CAE = (; E = 1400, w = 64, makedata_kws,) -train_CAE_compare(prob, latent, datafile, modeldir_CAE, train_params_CAE; rng, device) - -# train_SNW -train_params_SNW = (; E = 1400, wd = 128, α = 0f-0, γ = 1f-2, makedata_kws)#, batchsize_) -train_SNF_compare(latent, datafile, modeldir_SNW, train_params_SNW; rng, device) - -# train_SNL -train_params_SNL = (; E = 1400, wd = 128, α = 1f-4, γ = 0f-0, makedata_kws)#, batchsize_) -train_SNF_compare(latent, datafile, modeldir_SNL, train_params_SNL; rng, device) +# # train PCA +# train_PCA(datafile, modeldir_PCA, l_pca; rng, makedata_kws, device) +# +# # train_CAE +# train_params_CAE = (; E = 1400, w = 64, makedata_kws,) +# train_CAE_compare(prob, latent, datafile, modeldir_CAE, train_params_CAE; rng, device) +# +# # train_SNW +# train_params_SNW = (; E = 1400, wd = 128, α = 0f-0, γ = 1f-2, makedata_kws)#, batchsize_) +# train_SNF_compare(latent, datafile, modeldir_SNW, train_params_SNW; rng, device) +# +# # train_SNL +# train_params_SNL = (; E = 1400, wd = 128, α = 1f-4, γ = 0f-0, makedata_kws)#, batchsize_) +# train_SNF_compare(latent, datafile, modeldir_SNL, train_params_SNL; rng, device) #==================# # postprocess @@ -60,10 +60,10 @@ modelfile_SNL = joinpath(modeldir_SNL, "model_08.jld2") evolve_kw = (;) # evolve_kw = (; adaptive = true) -postprocess_PCA(prob, datafile, modelfile_PCA; rng, device) -postprocess_CAE(prob, datafile, modelfile_CAE; rng, evolve_kw) -postprocess_SNF(prob, datafile, modelfile_SNW; rng, evolve_kw, device) -postprocess_SNF(prob, datafile, modelfile_SNL; rng, evolve_kw, device) +# postprocess_PCA(prob, datafile, modelfile_PCA; rng, device) +# postprocess_CAE(prob, datafile, modelfile_CAE; rng, evolve_kw) +# postprocess_SNF(prob, datafile, modelfile_SNW; rng, evolve_kw, device) +# postprocess_SNF(prob, datafile, modelfile_SNL; rng, evolve_kw, device) #==================# # make figures diff --git a/experiments_SNFROM/burgers_fourier1D/compare_er_case1.png b/experiments_SNFROM/burgers_fourier1D/compare_er_case1.png index 0983bedc..39206b85 100644 Binary files a/experiments_SNFROM/burgers_fourier1D/compare_er_case1.png and 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TEST LOSS: 3.4859244e-5 #======================# TRAIN STATS -R² score: 0.9999656 -MSE (mean SQR error): 3.29769e-5 -RMSE (Root MSE): 0.0057425518 -MAE (mean ABS error): 0.0039906665 -maxAE (max ABS error) 0.33689684 -Lipschitz bound: 9.251425 +R² score: 0.9999637 +MSE (mean SQR error): 3.4859244e-5 +RMSE (Root MSE): 0.0059041716 +MAE (mean ABS error): 0.00399306 +maxAE (max ABS error) 0.32053757 +Lipschitz bound: 8.303828 #======================# #======================# TEST STATS -R² score: 0.9999656 -MSE (mean SQR error): 3.2976903e-5 -RMSE (Root MSE): 0.0057425518 -MAE (mean ABS error): 0.003990666 -maxAE (max ABS error) 0.33689684 -Lipschitz bound: 9.251425 +R² score: 0.9999637 +MSE (mean SQR error): 3.485924e-5 +RMSE (Root MSE): 0.0059041716 +MAE (mean ABS error): 0.00399306 +maxAE (max ABS error) 0.32053757 +Lipschitz bound: 8.303828 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_02.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_02.txt index e4a30d6c..a7d7e0c1 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_02.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_02.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 1.14264185e-5 || TEST LOSS: 1.14264185e-5 +Epoch [0 / 0] TRAIN LOSS: 1.4201271e-5 || TEST LOSS: 1.4201271e-5 #======================# TRAIN STATS -R² score: 0.999988 -MSE (mean SQR error): 1.14264185e-5 -RMSE (Root MSE): 0.0033802984 -MAE (mean ABS error): 0.0022574454 -maxAE (max ABS error) 0.2184813 -Lipschitz bound: 10.982954 +R² score: 0.9999851 +MSE (mean SQR error): 1.4201271e-5 +RMSE (Root MSE): 0.003768457 +MAE (mean ABS error): 0.002523462 +maxAE (max ABS error) 0.28752708 +Lipschitz bound: 9.592586 #======================# #======================# TEST STATS -R² score: 0.999988 -MSE (mean SQR error): 1.1426417e-5 -RMSE (Root MSE): 0.0033802984 -MAE (mean ABS error): 0.0022574456 -maxAE (max ABS error) 0.2184813 -Lipschitz bound: 10.982954 +R² score: 0.9999851 +MSE (mean SQR error): 1.4201269e-5 +RMSE (Root MSE): 0.003768457 +MAE (mean ABS error): 0.002523462 +maxAE (max ABS error) 0.28752708 +Lipschitz bound: 9.592586 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_03.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_03.txt index a7ad5a57..e29c0a74 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_03.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_03.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 4.1313647e-6 || TEST LOSS: 4.1313647e-6 +Epoch [0 / 0] TRAIN LOSS: 8.287154e-6 || TEST LOSS: 8.287154e-6 #======================# TRAIN STATS -R² score: 0.9999957 -MSE (mean SQR error): 4.1313647e-6 -RMSE (Root MSE): 0.002032576 -MAE (mean ABS error): 0.0013552677 -maxAE (max ABS error) 0.13068151 -Lipschitz bound: 11.582279 +R² score: 0.9999913 +MSE (mean SQR error): 8.287154e-6 +RMSE (Root MSE): 0.0028787416 +MAE (mean ABS error): 0.0018920312 +maxAE (max ABS error) 0.21459033 +Lipschitz bound: 9.758869 #======================# #======================# TEST STATS -R² score: 0.9999957 -MSE (mean SQR error): 4.1313647e-6 -RMSE (Root MSE): 0.002032576 -MAE (mean ABS error): 0.0013552677 -maxAE (max ABS error) 0.13068151 -Lipschitz bound: 11.582279 +R² score: 0.9999913 +MSE (mean SQR error): 8.287154e-6 +RMSE (Root MSE): 0.0028787416 +MAE (mean ABS error): 0.0018920312 +maxAE (max ABS error) 0.21459033 +Lipschitz bound: 9.758869 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_04.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_04.txt index 1abacef4..6bab3d3a 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_04.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_04.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.7262396e-6 || TEST LOSS: 3.7262396e-6 +Epoch [0 / 0] TRAIN LOSS: 3.9551287e-6 || TEST LOSS: 3.9551287e-6 #======================# TRAIN STATS -R² score: 0.9999962 -MSE (mean SQR error): 3.7262396e-6 -RMSE (Root MSE): 0.001930347 -MAE (mean ABS error): 0.0012878623 -maxAE (max ABS error) 0.12932086 -Lipschitz bound: 11.640823 +R² score: 0.99999595 +MSE (mean SQR error): 3.9551287e-6 +RMSE (Root MSE): 0.0019887506 +MAE (mean ABS error): 0.0013053538 +maxAE (max ABS error) 0.14382899 +Lipschitz bound: 10.559205 #======================# #======================# TEST STATS -R² score: 0.9999962 -MSE (mean SQR error): 3.7262394e-6 -RMSE (Root MSE): 0.001930347 -MAE (mean ABS error): 0.0012878622 -maxAE (max ABS error) 0.12932086 -Lipschitz bound: 11.640823 +R² score: 0.99999595 +MSE (mean SQR error): 3.9551287e-6 +RMSE (Root MSE): 0.0019887506 +MAE (mean ABS error): 0.0013053537 +maxAE (max ABS error) 0.14382899 +Lipschitz bound: 10.559205 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_05.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_05.txt index fdb88deb..13c6f64b 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_05.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_05.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.314757e-6 || TEST LOSS: 2.314757e-6 +Epoch [0 / 0] TRAIN LOSS: 2.795336e-6 || TEST LOSS: 2.795336e-6 #======================# TRAIN STATS -R² score: 0.9999975 -MSE (mean SQR error): 2.314757e-6 -RMSE (Root MSE): 0.0015214325 -MAE (mean ABS error): 0.0010075218 -maxAE (max ABS error) 0.071743846 -Lipschitz bound: 12.198471 +R² score: 0.999997 +MSE (mean SQR error): 2.795336e-6 +RMSE (Root MSE): 0.0016719259 +MAE (mean ABS error): 0.0010912754 +maxAE (max ABS error) 0.09771228 +Lipschitz bound: 11.0439 #======================# #======================# TEST STATS -R² score: 0.9999975 -MSE (mean SQR error): 2.314757e-6 -RMSE (Root MSE): 0.0015214325 -MAE (mean ABS error): 0.0010075218 -maxAE (max ABS error) 0.071743846 -Lipschitz bound: 12.198471 +R² score: 0.999997 +MSE (mean SQR error): 2.7953365e-6 +RMSE (Root MSE): 0.001671926 +MAE (mean ABS error): 0.0010912755 +maxAE (max ABS error) 0.09771228 +Lipschitz bound: 11.0439 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_06.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_06.txt index 864c7a02..a883b3d4 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_06.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_06.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 1.7542766e-6 || TEST LOSS: 1.7542766e-6 +Epoch [0 / 0] TRAIN LOSS: 2.1240812e-6 || TEST LOSS: 2.1240812e-6 #======================# TRAIN STATS -R² score: 0.99999815 -MSE (mean SQR error): 1.7542766e-6 -RMSE (Root MSE): 0.0013244911 -MAE (mean ABS error): 0.0008641996 -maxAE (max ABS error) 0.07039338 -Lipschitz bound: 12.439843 +R² score: 0.99999774 +MSE (mean SQR error): 2.1240812e-6 +RMSE (Root MSE): 0.0014574229 +MAE (mean ABS error): 0.0009388293 +maxAE (max ABS error) 0.07654631 +Lipschitz bound: 11.380701 #======================# #======================# TEST STATS -R² score: 0.99999815 -MSE (mean SQR error): 1.7542765e-6 -RMSE (Root MSE): 0.001324491 -MAE (mean ABS error): 0.00086419954 -maxAE (max ABS error) 0.07039338 -Lipschitz bound: 12.439843 +R² score: 0.99999774 +MSE (mean SQR error): 2.1240812e-6 +RMSE (Root MSE): 0.0014574229 +MAE (mean ABS error): 0.0009388293 +maxAE (max ABS error) 0.07654631 +Lipschitz bound: 11.380701 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_07.txt b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_07.txt index a580adef..db64e865 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_07.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_CAE02/statistics_07.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 1.4894695e-6 || TEST LOSS: 1.4894695e-6 +Epoch [0 / 0] TRAIN LOSS: 1.8212793e-6 || TEST LOSS: 1.8212793e-6 #======================# TRAIN STATS -R² score: 0.99999845 -MSE (mean SQR error): 1.4894695e-6 -RMSE (Root MSE): 0.0012204383 -MAE (mean ABS error): 0.00079009356 -maxAE (max ABS error) 0.06110519 -Lipschitz bound: 12.573407 +R² score: 0.9999981 +MSE (mean SQR error): 1.8212793e-6 +RMSE (Root MSE): 0.0013495478 +MAE (mean ABS error): 0.0008633707 +maxAE (max ABS error) 0.0754264 +Lipschitz bound: 11.563867 #======================# #======================# TEST STATS -R² score: 0.99999845 -MSE (mean SQR error): 1.4894695e-6 -RMSE (Root MSE): 0.0012204383 -MAE (mean ABS error): 0.0007900937 -maxAE (max ABS error) 0.06110519 -Lipschitz bound: 12.573407 +R² score: 0.9999981 +MSE (mean SQR error): 1.8212793e-6 +RMSE (Root MSE): 0.0013495478 +MAE (mean ABS error): 0.00086337066 +maxAE (max ABS error) 0.0754264 +Lipschitz bound: 11.563867 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case1.png b/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case1.png index 4122366e..cc7defe8 100644 Binary files a/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case1.png and b/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case1.png differ diff --git a/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case2.png b/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case2.png index 1a7a701d..fc024a40 100644 Binary files a/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case2.png and b/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case2.png differ diff --git a/experiments_SNFROM/burgers_fourier1D/model_PCA08/results/evolve_e1_case3.png 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-1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 0.0006409063 || TEST LOSS: 0.0006409063 +Epoch [0 / 0] TRAIN LOSS: 0.0006953115 || TEST LOSS: 0.0006953115 #======================# TRAIN STATS -R² score: 0.99947745 -MSE (mean SQR error): 0.00049310003 -RMSE (Root MSE): 0.022205856 -MAE (mean ABS error): 0.011183611 -maxAE (max ABS error) 0.5726444 -Lipschitz bound: 1.2522238e6 +R² score: 0.999441 +MSE (mean SQR error): 0.00052552746 +RMSE (Root MSE): 0.022924386 +MAE (mean ABS error): 0.01055081 +maxAE (max ABS error) 0.52946556 +Lipschitz bound: 1.5866638e6 #======================# #======================# TEST STATS -R² score: 0.99947745 -MSE (mean SQR error): 0.00049310003 -RMSE (Root MSE): 0.022205856 -MAE (mean ABS error): 0.011183611 -maxAE (max ABS error) 0.5726444 -Lipschitz bound: 1.2522238e6 +R² score: 0.999441 +MSE (mean SQR error): 0.00052552746 +RMSE (Root MSE): 0.022924386 +MAE (mean ABS error): 0.01055081 +maxAE (max ABS error) 0.52946556 +Lipschitz bound: 1.5866638e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_02.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_02.txt index 9d74e4c2..e3727e97 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_02.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_02.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 6.0420047e-5 || TEST LOSS: 6.0420047e-5 +Epoch [0 / 0] TRAIN LOSS: 6.5439446e-5 || TEST LOSS: 6.5439446e-5 #======================# TRAIN STATS -R² score: 0.99998814 -MSE (mean SQR error): 1.131888e-5 -RMSE (Root MSE): 0.0033643544 -MAE (mean ABS error): 0.0019928871 -maxAE (max ABS error) 0.19847073 -Lipschitz bound: 13284.452 +R² score: 0.9999864 +MSE (mean SQR error): 1.2986541e-5 +RMSE (Root MSE): 0.0036036845 +MAE (mean ABS error): 0.0020994174 +maxAE (max ABS error) 0.22564805 +Lipschitz bound: 21357.455 #======================# #======================# TEST STATS -R² score: 0.99998814 -MSE (mean SQR error): 1.1318879e-5 -RMSE (Root MSE): 0.003364354 -MAE (mean ABS error): 0.0019928874 -maxAE (max ABS error) 0.19847073 -Lipschitz bound: 13284.452 +R² score: 0.9999864 +MSE (mean SQR error): 1.2986542e-5 +RMSE (Root MSE): 0.0036036845 +MAE (mean ABS error): 0.0020994174 +maxAE (max ABS error) 0.22564805 +Lipschitz bound: 21357.455 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_03.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_03.txt index 7c7463c9..78927867 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_03.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_03.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 4.3269498e-5 || TEST LOSS: 4.3269498e-5 +Epoch [0 / 0] TRAIN LOSS: 4.6674384e-5 || TEST LOSS: 4.6674384e-5 #======================# TRAIN STATS -R² score: 0.99999464 -MSE (mean SQR error): 5.102381e-6 -RMSE (Root MSE): 0.002258845 -MAE (mean ABS error): 0.0012020998 -maxAE (max ABS error) 0.1973524 -Lipschitz bound: 4105.047 +R² score: 0.9999939 +MSE (mean SQR error): 5.804345e-6 +RMSE (Root MSE): 0.002409221 +MAE (mean ABS error): 0.0013567806 +maxAE (max ABS error) 0.17953563 +Lipschitz bound: 5423.1904 #======================# #======================# TEST STATS -R² score: 0.99999464 -MSE (mean SQR error): 5.102381e-6 -RMSE (Root MSE): 0.002258845 -MAE (mean ABS error): 0.0012020998 -maxAE (max ABS error) 0.1973524 -Lipschitz bound: 4105.047 +R² score: 0.9999939 +MSE (mean SQR error): 5.804345e-6 +RMSE (Root MSE): 0.002409221 +MAE (mean ABS error): 0.0013567806 +maxAE (max ABS error) 0.17953563 +Lipschitz bound: 5423.1904 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_04.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_04.txt index ec68817f..2b1483b7 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_04.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_04.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.62844e-5 || TEST LOSS: 3.62844e-5 +Epoch [0 / 0] TRAIN LOSS: 3.9042297e-5 || TEST LOSS: 3.9042297e-5 #======================# TRAIN STATS -R² score: 0.99999696 -MSE (mean SQR error): 2.8968248e-6 -RMSE (Root MSE): 0.001702006 -MAE (mean ABS error): 0.00083494076 -maxAE (max ABS error) 0.1527605 -Lipschitz bound: 2605.6057 +R² score: 0.999996 +MSE (mean SQR error): 3.8428475e-6 +RMSE (Root MSE): 0.0019603183 +MAE (mean ABS error): 0.0010069702 +maxAE (max ABS error) 0.19324207 +Lipschitz bound: 3133.9092 #======================# #======================# TEST STATS -R² score: 0.99999696 -MSE (mean SQR error): 2.8968248e-6 -RMSE (Root MSE): 0.001702006 -MAE (mean ABS error): 0.00083494076 -maxAE (max ABS error) 0.1527605 -Lipschitz bound: 2605.6057 +R² score: 0.999996 +MSE (mean SQR error): 3.8428475e-6 +RMSE (Root MSE): 0.0019603183 +MAE (mean ABS error): 0.0010069701 +maxAE (max ABS error) 0.19324207 +Lipschitz bound: 3133.9092 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_05.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_05.txt index 363bc94a..438c5849 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_05.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_05.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.3132234e-5 || TEST LOSS: 3.3132234e-5 +Epoch [0 / 0] TRAIN LOSS: 3.508715e-5 || TEST LOSS: 3.508715e-5 #======================# TRAIN STATS -R² score: 0.99999726 -MSE (mean SQR error): 2.560119e-6 -RMSE (Root MSE): 0.0016000372 -MAE (mean ABS error): 0.00074071815 -maxAE (max ABS error) 0.17705011 -Lipschitz bound: 2075.1636 +R² score: 0.9999969 +MSE (mean SQR error): 3.0024464e-6 +RMSE (Root MSE): 0.0017327568 +MAE (mean ABS error): 0.00082591944 +maxAE (max ABS error) 0.18247557 +Lipschitz bound: 2430.6562 #======================# #======================# TEST STATS -R² score: 0.99999726 -MSE (mean SQR error): 2.5601184e-6 -RMSE (Root MSE): 0.001600037 -MAE (mean ABS error): 0.00074071804 -maxAE (max ABS error) 0.17705011 -Lipschitz bound: 2075.1636 +R² score: 0.9999969 +MSE (mean SQR error): 3.0024469e-6 +RMSE (Root MSE): 0.001732757 +MAE (mean ABS error): 0.00082591956 +maxAE (max ABS error) 0.18247557 +Lipschitz bound: 2430.6562 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_06.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_06.txt index 80fb0b38..8807f28b 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_06.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_06.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.1073698e-5 || TEST LOSS: 3.1073698e-5 +Epoch [0 / 0] TRAIN LOSS: 3.280205e-5 || TEST LOSS: 3.280205e-5 #======================# TRAIN STATS -R² score: 0.99999774 -MSE (mean SQR error): 2.1649876e-6 -RMSE (Root MSE): 0.0014713897 -MAE (mean ABS error): 0.00065452745 -maxAE (max ABS error) 0.15604675 -Lipschitz bound: 1814.6716 +R² score: 0.9999974 +MSE (mean SQR error): 2.4874103e-6 +RMSE (Root MSE): 0.0015771525 +MAE (mean ABS error): 0.00070134556 +maxAE (max ABS error) 0.16378236 +Lipschitz bound: 2089.3604 #======================# #======================# TEST STATS -R² score: 0.99999774 -MSE (mean SQR error): 2.1649873e-6 -RMSE (Root MSE): 0.0014713896 -MAE (mean ABS error): 0.00065452745 -maxAE (max ABS error) 0.15604675 -Lipschitz bound: 1814.6716 +R² score: 0.9999974 +MSE (mean SQR error): 2.48741e-6 +RMSE (Root MSE): 0.0015771525 +MAE (mean ABS error): 0.00070134556 +maxAE (max ABS error) 0.16378236 +Lipschitz bound: 2089.3604 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_07.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_07.txt index 8ef7f705..4a8e4cce 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_07.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_07.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.0094776e-5 || TEST LOSS: 3.0094776e-5 +Epoch [0 / 0] TRAIN LOSS: 3.1762513e-5 || TEST LOSS: 3.1762513e-5 #======================# TRAIN STATS -R² score: 0.99999785 -MSE (mean SQR error): 2.0265775e-6 -RMSE (Root MSE): 0.0014235791 -MAE (mean ABS error): 0.0006153717 -maxAE (max ABS error) 0.15565646 -Lipschitz bound: 1679.0583 +R² score: 0.9999975 +MSE (mean SQR error): 2.3436603e-6 +RMSE (Root MSE): 0.0015309018 +MAE (mean ABS error): 0.00067755755 +maxAE (max ABS error) 0.15984511 +Lipschitz bound: 1910.5784 #======================# #======================# TEST STATS -R² score: 0.99999785 -MSE (mean SQR error): 2.0265775e-6 -RMSE (Root MSE): 0.0014235791 -MAE (mean ABS error): 0.0006153717 -maxAE (max ABS error) 0.15565646 -Lipschitz bound: 1679.0583 +R² score: 0.9999975 +MSE (mean SQR error): 2.3436603e-6 +RMSE (Root MSE): 0.0015309018 +MAE (mean ABS error): 0.0006775576 +maxAE (max ABS error) 0.15984511 +Lipschitz bound: 1910.5784 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_08.txt b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_08.txt index a01d9240..e2eb2c46 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_08.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNL02/statistics_08.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.95499e-5 || TEST LOSS: 2.95499e-5 +Epoch [0 / 0] TRAIN LOSS: 3.1174117e-5 || TEST LOSS: 3.1174117e-5 #======================# TRAIN STATS -R² score: 0.999998 -MSE (mean SQR error): 1.9600138e-6 -RMSE (Root MSE): 0.001400005 -MAE (mean ABS error): 0.00059980695 -maxAE (max ABS error) 0.15285945 -Lipschitz bound: 1606.4532 +R² score: 0.9999976 +MSE (mean SQR error): 2.261688e-6 +RMSE (Root MSE): 0.001503891 +MAE (mean ABS error): 0.0006587832 +maxAE (max ABS error) 0.15711892 +Lipschitz bound: 1814.8502 #======================# #======================# TEST STATS -R² score: 0.999998 -MSE (mean SQR error): 1.9600138e-6 -RMSE (Root MSE): 0.001400005 -MAE (mean ABS error): 0.000599807 -maxAE (max ABS error) 0.15285945 -Lipschitz bound: 1606.4532 +R² score: 0.9999976 +MSE (mean SQR error): 2.261688e-6 +RMSE (Root MSE): 0.001503891 +MAE (mean ABS error): 0.00065878325 +maxAE (max ABS error) 0.15711892 +Lipschitz bound: 1814.8502 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/plt_training_01.png b/experiments_SNFROM/burgers_fourier1D/model_SNW02/plt_training_01.png index e99aa1ba..9955fbdb 100644 Binary files a/experiments_SNFROM/burgers_fourier1D/model_SNW02/plt_training_01.png and b/experiments_SNFROM/burgers_fourier1D/model_SNW02/plt_training_01.png differ diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/plt_training_02.png 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a/experiments_SNFROM/burgers_fourier1D/model_SNW02/results/train_u1_case3.png and b/experiments_SNFROM/burgers_fourier1D/model_SNW02/results/train_u1_case3.png differ diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_01.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_01.txt index ddf7fa83..b8c671d3 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_01.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_01.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 0.007055844 || TEST LOSS: 0.007055844 +Epoch [0 / 0] TRAIN LOSS: 0.0070558414 || TEST LOSS: 0.0070558414 #======================# TRAIN STATS R² score: 0.99243206 -MSE (mean SQR error): 0.0069761258 -RMSE (Root MSE): 0.0835232 +MSE (mean SQR error): 0.006976123 +RMSE (Root MSE): 0.08352319 MAE (mean ABS error): 0.05167825 -maxAE (max ABS error) 1.1452155 -Lipschitz bound: 1.0724562e6 +maxAE (max ABS error) 1.1452162 +Lipschitz bound: 1.0724564e6 #======================# #======================# TEST STATS R² score: 0.99243206 -MSE (mean SQR error): 0.0069761258 -RMSE (Root MSE): 0.0835232 +MSE (mean SQR error): 0.0069761225 +RMSE (Root MSE): 0.083523184 MAE (mean ABS error): 0.05167826 -maxAE (max ABS error) 1.1452155 -Lipschitz bound: 1.0724562e6 +maxAE (max ABS error) 1.1452162 +Lipschitz bound: 1.0724564e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_02.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_02.txt index 53a73dda..f7172e33 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_02.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_02.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 6.2698186e-5 || TEST LOSS: 6.2698186e-5 +Epoch [0 / 0] TRAIN LOSS: 6.2193845e-5 || TEST LOSS: 6.2193845e-5 #======================# TRAIN STATS -R² score: 0.99999875 -MSE (mean SQR error): 1.2404829e-6 -RMSE (Root MSE): 0.0011137697 -MAE (mean ABS error): 0.0008023184 -maxAE (max ABS error) 0.048374653 -Lipschitz bound: 2.5070452e6 +R² score: 0.99999887 +MSE (mean SQR error): 1.0961855e-6 +RMSE (Root MSE): 0.0010469888 +MAE (mean ABS error): 0.0007208116 +maxAE (max ABS error) 0.031964898 +Lipschitz bound: 2.500378e6 #======================# #======================# TEST STATS -R² score: 0.99999875 -MSE (mean SQR error): 1.2404829e-6 -RMSE (Root MSE): 0.0011137697 -MAE (mean ABS error): 0.0008023184 -maxAE (max ABS error) 0.048374653 -Lipschitz bound: 2.5070452e6 +R² score: 0.99999887 +MSE (mean SQR error): 1.0961855e-6 +RMSE (Root MSE): 0.0010469888 +MAE (mean ABS error): 0.00072081154 +maxAE (max ABS error) 0.031964898 +Lipschitz bound: 2.500378e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_03.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_03.txt index 736a2952..a824b582 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_03.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_03.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 4.4318866e-5 || TEST LOSS: 4.4318866e-5 +Epoch [0 / 0] TRAIN LOSS: 4.40079e-5 || TEST LOSS: 4.40079e-5 #======================# TRAIN STATS -R² score: 0.99999994 -MSE (mean SQR error): 1.392227e-7 -RMSE (Root MSE): 0.0003731256 -MAE (mean ABS error): 0.00025311956 -maxAE (max ABS error) 0.015182257 -Lipschitz bound: 3.3832048e6 +R² score: 0.9999998 +MSE (mean SQR error): 1.4877286e-7 +RMSE (Root MSE): 0.00038571085 +MAE (mean ABS error): 0.00026447486 +maxAE (max ABS error) 0.01736617 +Lipschitz bound: 3.25186e6 #======================# #======================# TEST STATS -R² score: 0.99999994 -MSE (mean SQR error): 1.392227e-7 -RMSE (Root MSE): 0.0003731256 -MAE (mean ABS error): 0.0002531196 -maxAE (max ABS error) 0.015182257 -Lipschitz bound: 3.3832048e6 +R² score: 0.9999998 +MSE (mean SQR error): 1.4877284e-7 +RMSE (Root MSE): 0.0003857108 +MAE (mean ABS error): 0.00026447486 +maxAE (max ABS error) 0.01736617 +Lipschitz bound: 3.25186e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_04.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_04.txt index a1d80ad5..bd21b824 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_04.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_04.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 3.503639e-5 || TEST LOSS: 3.503639e-5 +Epoch [0 / 0] TRAIN LOSS: 3.518154e-5 || TEST LOSS: 3.518154e-5 #======================# TRAIN STATS -R² score: 0.99999994 -MSE (mean SQR error): 6.971813e-8 -RMSE (Root MSE): 0.0002640419 -MAE (mean ABS error): 0.000172738 -maxAE (max ABS error) 0.026557684 -Lipschitz bound: 3.8863012e6 +R² score: 0.9999998 +MSE (mean SQR error): 1.9780163e-7 +RMSE (Root MSE): 0.00044474893 +MAE (mean ABS error): 0.00032122686 +maxAE (max ABS error) 0.032068133 +Lipschitz bound: 3.60301e6 #======================# #======================# TEST STATS -R² score: 0.99999994 -MSE (mean SQR error): 6.971813e-8 -RMSE (Root MSE): 0.0002640419 -MAE (mean ABS error): 0.00017273803 -maxAE (max ABS error) 0.026557684 -Lipschitz bound: 3.8863012e6 +R² score: 0.9999998 +MSE (mean SQR error): 1.9780164e-7 +RMSE (Root MSE): 0.00044474896 +MAE (mean ABS error): 0.00032122686 +maxAE (max ABS error) 0.032068133 +Lipschitz bound: 3.60301e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_05.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_05.txt index 58c31448..40f94509 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_05.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_05.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.9773995e-5 || TEST LOSS: 2.9773995e-5 +Epoch [0 / 0] TRAIN LOSS: 2.9826522e-5 || TEST LOSS: 2.9826522e-5 #======================# TRAIN STATS R² score: 0.99999994 -MSE (mean SQR error): 8.4997595e-8 -RMSE (Root MSE): 0.00029154346 -MAE (mean ABS error): 0.0001661053 -maxAE (max ABS error) 0.04141951 -Lipschitz bound: 4.3180165e6 +MSE (mean SQR error): 9.715305e-8 +RMSE (Root MSE): 0.00031169385 +MAE (mean ABS error): 0.0001721144 +maxAE (max ABS error) 0.033178568 +Lipschitz bound: 3.9869568e6 #======================# #======================# TEST STATS R² score: 0.99999994 -MSE (mean SQR error): 8.4997595e-8 -RMSE (Root MSE): 0.00029154346 -MAE (mean ABS error): 0.0001661053 -maxAE (max ABS error) 0.04141951 -Lipschitz bound: 4.3180165e6 +MSE (mean SQR error): 9.7153055e-8 +RMSE (Root MSE): 0.00031169385 +MAE (mean ABS error): 0.00017211444 +maxAE (max ABS error) 0.033178568 +Lipschitz bound: 3.9869568e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_06.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_06.txt index 5847913c..a9f41347 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_06.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_06.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.6549265e-5 || TEST LOSS: 2.6549265e-5 +Epoch [0 / 0] TRAIN LOSS: 2.6657892e-5 || TEST LOSS: 2.6657892e-5 #======================# TRAIN STATS R² score: 0.99999994 -MSE (mean SQR error): 1.1007372e-7 -RMSE (Root MSE): 0.0003317736 -MAE (mean ABS error): 0.0001869286 -maxAE (max ABS error) 0.042915106 -Lipschitz bound: 4.6867655e6 +MSE (mean SQR error): 1.3179671e-7 +RMSE (Root MSE): 0.00036303815 +MAE (mean ABS error): 0.00022603909 +maxAE (max ABS error) 0.04208398 +Lipschitz bound: 4.352564e6 #======================# #======================# TEST STATS R² score: 0.99999994 -MSE (mean SQR error): 1.1007374e-7 -RMSE (Root MSE): 0.00033177363 -MAE (mean ABS error): 0.00018692858 -maxAE (max ABS error) 0.042915106 -Lipschitz bound: 4.6867655e6 +MSE (mean SQR error): 1.317967e-7 +RMSE (Root MSE): 0.00036303815 +MAE (mean ABS error): 0.00022603909 +maxAE (max ABS error) 0.04208398 +Lipschitz bound: 4.352564e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_07.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_07.txt index 27562056..8417b0c8 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_07.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_07.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.4628796e-5 || TEST LOSS: 2.4628796e-5 +Epoch [0 / 0] TRAIN LOSS: 2.4721412e-5 || TEST LOSS: 2.4721412e-5 #======================# TRAIN STATS R² score: 0.99999994 -MSE (mean SQR error): 1.0023285e-7 -RMSE (Root MSE): 0.00031659572 -MAE (mean ABS error): 0.0001694169 -maxAE (max ABS error) 0.046589136 -Lipschitz bound: 5.088597e6 +MSE (mean SQR error): 1.028341e-7 +RMSE (Root MSE): 0.00032067756 +MAE (mean ABS error): 0.0001840067 +maxAE (max ABS error) 0.04670036 +Lipschitz bound: 4.7288335e6 #======================# #======================# TEST STATS R² score: 0.99999994 -MSE (mean SQR error): 1.0023285e-7 -RMSE (Root MSE): 0.00031659572 -MAE (mean ABS error): 0.0001694169 -maxAE (max ABS error) 0.046589136 -Lipschitz bound: 5.088597e6 +MSE (mean SQR error): 1.02834086e-7 +RMSE (Root MSE): 0.00032067753 +MAE (mean ABS error): 0.0001840067 +maxAE (max ABS error) 0.04670036 +Lipschitz bound: 4.7288335e6 #======================# diff --git a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_08.txt b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_08.txt index 87e2ff82..26b8e817 100644 --- a/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_08.txt +++ b/experiments_SNFROM/burgers_fourier1D/model_SNW02/statistics_08.txt @@ -1,21 +1,21 @@ -Epoch [0 / 0] TRAIN LOSS: 2.3407094e-5 || TEST LOSS: 2.3407094e-5 +Epoch [0 / 0] TRAIN LOSS: 2.3497169e-5 || TEST LOSS: 2.3497169e-5 #======================# TRAIN STATS R² score: 0.99999994 -MSE (mean SQR error): 1.0414843e-7 -RMSE (Root MSE): 0.00032272036 -MAE (mean ABS error): 0.00018329965 -maxAE (max ABS error) 0.04924202 -Lipschitz bound: 5.4328895e6 +MSE (mean SQR error): 1.0177538e-7 +RMSE (Root MSE): 0.00031902254 +MAE (mean ABS error): 0.0001815156 +maxAE (max ABS error) 0.049834132 +Lipschitz bound: 5.0220315e6 #======================# #======================# TEST STATS R² score: 0.99999994 -MSE (mean SQR error): 1.0414843e-7 -RMSE (Root MSE): 0.00032272036 -MAE (mean ABS error): 0.00018329965 -maxAE (max ABS error) 0.04924202 -Lipschitz bound: 5.4328895e6 +MSE (mean SQR error): 1.0177538e-7 +RMSE (Root MSE): 0.00031902254 +MAE (mean ABS error): 0.00018151563 +maxAE (max ABS error) 0.049834132 +Lipschitz bound: 5.0220315e6 #======================# diff --git a/experiments_SNFROM/smoothNF.jl b/experiments_SNFROM/smoothNF.jl index 90793df0..78135c18 100644 --- a/experiments_SNFROM/smoothNF.jl +++ b/experiments_SNFROM/smoothNF.jl @@ -427,8 +427,8 @@ function evolve_SNF( scheme::Union{Nothing, NeuralROMs.AbstractSolveScheme} = nothing, autodiff_xyz::ADTypes.AbstractADType = AutoForwardDiff(), ϵ_xyz::Union{Real, Nothing} = nothing, - learn_ic::Bool = true, - hyper_reduction::Bool = true, + learn_ic::Bool = false, + hyper_reduction::Bool = false, verbose::Bool = true, device = Lux.gpu_device(), ) @@ -502,7 +502,7 @@ function evolve_SNF( IX = hypfile["IX"] close(hypfile) - println("Grabbing Hyper-reduction indices from $hypfile with $(length(IX)) points.") + println("Grabbing collocation indices from $hypfile with $(length(IX)) points.") else IX = hyperreduction_idx( Xdata, Udata, Tdata, _ps, getaxes(p0), @@ -584,18 +584,29 @@ function hyperreduction_idx( prob, model, timealg, scheme, Δt, adaptive, autodiff_xyz, ϵ_xyz, learn_ic; rng = Random.default_rng(), - tol::Real = 5f-3, + tol::Real = 1f-2, Q::Integer = 10, maxsamples::Integer = 100, verbose::Bool = false, device = Lux.gpu_device(), ) - IX = rand(rng, 1:size(Xdata, 2), size(ps, 1)) - residual_args = Xdata, Udata, Tdata, ps, ax, prob, model, timealg, scheme, Δt, adaptive, autodiff_xyz, ϵ_xyz, learn_ic + N = size(Xdata, 2) + l = size(ps , 1) + + begin + r = compute_residual(1:N, residual_args...; verbose, device) + rm = residual_metric(r) + tol = max(1 * rm, tol) + println("HYPERREDUCTION_IDX: IX = Xdata, metric: $(rm)") + end + + # randomly initialize residual + IX = rand(rng, 1:N, l) + while true IX = sort(IX) @@ -603,7 +614,7 @@ function hyperreduction_idx( rm = residual_metric(r) println("HYPERREDUCTION_IDX: |IX| = $(length(IX)), metric: $(rm)") - println(IX') + println("HYPERREDUCTION_IDX: $(IX')") if residual_metric(r) < tol println("HYPERREDUCTION_IDX: Tolerance has been met with $(length(IX)) points.")