From d391430238ae51c6cd4a427c52a0a0bf641bc49f Mon Sep 17 00:00:00 2001 From: Vedant Puri Date: Sat, 26 Aug 2023 12:51:47 -0400 Subject: [PATCH] running on eagle --- Project.toml | 1 - .../exp_bilinear_scale/bilin.jl | 20 ++++++----- .../exp_FNO_linear_nonlinear/plt_r2_test.png | Bin 67004 -> 68918 bytes .../exp_FNO_linear_nonlinear/plt_r2_train.png | Bin 55064 -> 63199 bytes .../exp_FNO_linear_nonlinear/plt_training.png | Bin 28398 -> 28380 bytes .../plt_traj_test.png | Bin 67092 -> 70204 bytes .../plt_traj_train.png | Bin 71778 -> 73142 bytes .../exp_FNO_linear_nonlinear/statistics.txt | 22 ++++++------- .../exp_FNO_nonlin/plt_r2_test.png | Bin 44942 -> 39829 bytes .../exp_FNO_nonlin/plt_r2_train.png | Bin 29766 -> 22657 bytes .../exp_FNO_nonlin/plt_training.png | Bin 28257 -> 37954 bytes .../exp_FNO_nonlin/plt_traj_test.png | Bin 67278 -> 62158 bytes .../exp_FNO_nonlin/plt_traj_train.png | Bin 58907 -> 69926 bytes .../exp_FNO_nonlin/statistics.txt | 20 ++++++----- examples/pdebench/darcy2d.jl | 31 +++++++++--------- .../pdebench/model_darcy2D/plt_training.png | Bin 35256 -> 48578 bytes .../pdebench/model_darcy2D/statistics.txt | 22 ++++++------- src/train.jl | 6 ++-- 18 files changed, 63 insertions(+), 59 deletions(-) diff --git a/Project.toml b/Project.toml index bd0f5dff..786c156e 100644 --- a/Project.toml +++ b/Project.toml @@ -12,7 +12,6 @@ Colors = "5ae59095-9a9b-59fe-a467-6f913c188581" ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66" DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae" FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341" -Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c" FourierSpaces = "f3d7ce31-8807-4b9f-8144-4bd3ed8f0112" HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f" KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c" diff --git a/examples/diffusion_fourier/exp_bilinear_scale/bilin.jl b/examples/diffusion_fourier/exp_bilinear_scale/bilin.jl index 80d93b6d..9aac3675 100644 --- a/examples/diffusion_fourier/exp_bilinear_scale/bilin.jl +++ b/examples/diffusion_fourier/exp_bilinear_scale/bilin.jl @@ -30,8 +30,8 @@ import Lux: cpu, gpu using Tullio, Zygote using FFTW, LinearAlgebra -BLAS.set_num_threads(2) -FFTW.set_num_threads(8) +BLAS.set_num_threads(12) +FFTW.set_num_threads(24) include("../datagen.jl") @@ -64,15 +64,15 @@ o = size(__data[2], 1) # out channels NN = Lux.Chain( PermutedBatchNorm(c, 3), - Dense(c , w, tanh), - OpKernel(w, w, m, tanh), - OpKernel(w, w, m, tanh), - OpKernel(w, w, m, tanh), + Dense(c , w, Lux.relu), + OpKernel(w, w, m, Lux.relu), + OpKernel(w, w, m, Lux.relu), + OpKernel(w, w, m, Lux.relu), Dense(w , o) ) opt = Optimisers.Adam() -batchsize = size(__data[1])[end] +batchsize = 128 #size(__data[1])[end] learning_rates = (1f-2, 1f-3,) nepochs = E .* (0.10, 0.90,) .|> Int dir = joinpath(@__DIR__, "exp_FNO_nonlin") @@ -109,18 +109,20 @@ bilin = OpConvBilinear(w1, w2, o, m) NN = linear_nonlinear(split, nonlin, linear, bilin) opt = 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0.04251174 #======================# TRAIN STATS -R² score: 0.9730648 -MSE (mean SQR error): 0.02510134 -RMSE (root mean SQR error): 0.15843402 -MAE (mean ABS error): 0.11758655 -maxAE (max ABS error) 1.0394883 +R² score: 0.96962214 +MSE (mean SQR error): 0.03111367 +RMSE (root mean SQR error): 0.17639066 +MAE (mean ABS error): 0.12991187 +maxAE (max ABS error) 1.218371 #======================# #======================# TEST STATS -R² score: 0.97130257 -MSE (mean SQR error): 0.03251882 -RMSE (root mean SQR error): 0.18032974 -MAE (mean ABS error): 0.13228929 -maxAE (max ABS error) 1.1780059 +R² score: 0.9665479 +MSE (mean SQR error): 0.04228398 +RMSE (root mean SQR error): 0.20563067 +MAE (mean ABS error): 0.15284078 +maxAE (max ABS error) 1.322362 #======================# diff --git a/examples/diffusion_fourier/exp_bilinear_scale/exp_FNO_nonlin/plt_r2_test.png b/examples/diffusion_fourier/exp_bilinear_scale/exp_FNO_nonlin/plt_r2_test.png index 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cfde5fb5..13ba5f2c 100644 --- a/examples/pdebench/model_darcy2D/statistics.txt +++ b/examples/pdebench/model_darcy2D/statistics.txt @@ -1,19 +1,19 @@ - TRAIN LOSS: 0.00020804 TEST LOSS: 8.247e-5 + TRAIN LOSS: 2.19e-6 TEST LOSS: 0.00093983 #======================# TRAIN STATS -R² score: 0.76355976 -MSE (mean SQR error): 0.0003289 -RMSE (root mean SQR error): 0.01813549 -MAE (mean ABS error): 0.00971096 -maxAE (max ABS error) 0.26131245 +R² score: 0.9909916 +MSE (mean SQR error): 9.42e-6 +RMSE (root mean SQR error): 0.00306904 +MAE (mean ABS error): 0.00133418 +maxAE (max ABS error) 0.08552231 #======================# #======================# TEST STATS -R² score: 0.85738647 -MSE (mean SQR error): 0.00025149 -RMSE (root mean SQR error): 0.01585852 -MAE (mean ABS error): 0.00898928 -maxAE (max ABS error) 0.16604173 +R² score: 0.27241534 +MSE (mean SQR error): 0.00044176 +RMSE (root mean SQR error): 0.02101806 +MAE (mean ABS error): 0.00636383 +maxAE (max ABS error) 0.277627 #======================# diff --git a/src/train.jl b/src/train.jl index 7f487781..1465565d 100644 --- a/src/train.jl +++ b/src/train.jl @@ -74,8 +74,8 @@ function train_model( # cb_batch = - # early stopping: (need fullbatch validation loss for early stopping?) - # https://github.com/jeffheaton/app_deep_learning/blob/main/t81_558_class_03_4_early_stop.ipynb + # TODO: early stopping: (need fullbatch validation loss for early stopping?) + # TODO: https://github.com/jeffheaton/app_deep_learning/blob/main/t81_558_class_03_4_early_stop.ipynb # callback for training cb_epoch = (p, st, epoch, nepoch; io = io) -> callback(p, st; io, @@ -121,7 +121,7 @@ function train_model( cb_stats(p, st) end - # TODO - output a train.log file with timings + # TODO: output a train.log file with timings # save statistics statsfile = open(joinpath(dir, "statistics.txt"), "w")

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