diff --git a/figs/visualisation_integrated_training_64.png b/figs/visualisation_integrated_training_64.png
index eb8aa6b..307313c 100644
Binary files a/figs/visualisation_integrated_training_64.png and b/figs/visualisation_integrated_training_64.png differ
diff --git a/src/mace/CSE_0D/intregr_train.py b/src/mace/CSE_0D/intregr_train.py
index f949718..1d3c0db 100644
--- a/src/mace/CSE_0D/intregr_train.py
+++ b/src/mace/CSE_0D/intregr_train.py
@@ -143,13 +143,14 @@ def train(model, lr, data_loader, test_loader,nb_evol, path, end_epochs, DEVICE,
## save model every epoch temporarily
- torch.save(model.state_dict(),path+'/nn/nn-1'+'.pt')
- np.save(path+'/nb_epoch.npy',np.array([epoch+1]))
- ## losses
- trainpath = path+'/train'
- testpath = path+'/test'
- trainloss.save(trainpath)
- testloss.save(testpath)
+ if path != None:
+ torch.save(model.state_dict(),path+'/nn/nn-1'+'.pt')
+ np.save(path+'/nb_epoch.npy',np.array([epoch+1]))
+ ## losses
+ trainpath = path+'/train'
+ testpath = path+'/test'
+ trainloss.save(trainpath)
+ testloss.save(testpath)
## plot
# plotting.plot_loss(trainloss, testloss, log = log, show = show)
# plt.savefig(path+'/loss.png')
diff --git a/train2.0_dev.ipynb b/train2.0_dev.ipynb
index 15cd522..05989bf 100644
--- a/train2.0_dev.ipynb
+++ b/train2.0_dev.ipynb
@@ -599,7 +599,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 26,
"metadata": {},
"outputs": [
{
@@ -607,7 +607,7 @@
"output_type": "stream",
"text": [
"------------------------------\n",
- " # epochs: 100\n",
+ " # epochs: 2\n",
" learning rate: 0.0001\n",
"# z dimensions: 8\n",
" # samples: 2\n",
@@ -631,7 +631,7 @@
"kwargs = {'num_workers': 1, 'pin_memory': True} \n",
"\n",
"lr = 1.e-4\n",
- "epochs = 100\n",
+ "epochs = 2\n",
"\n",
"losstype = 'mse_idn'\n",
"# losstype = 'mse'\n",
@@ -658,7 +658,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 27,
"metadata": {},
"outputs": [
{
@@ -672,19 +672,15 @@
"loss type: mse_idn\n",
"\n",
">>> Training model...\n",
- "\n"
- ]
- },
- {
- "ename": "TypeError",
- "evalue": "unsupported operand type(s) for +: 'NoneType' and 'str'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/STER/silkem/MACE/train2.0_dev.ipynb Cell 26\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 23\u001b[0m testloss\u001b[39m.\u001b[39mset_losstype(losstype)\n\u001b[1;32m 25\u001b[0m tic \u001b[39m=\u001b[39m time()\n\u001b[0;32m---> 26\u001b[0m opt \u001b[39m=\u001b[39m tr\u001b[39m.\u001b[39;49mtrain(model, lr, data_loader, test_loader,nb_evol \u001b[39m=\u001b[39;49m \u001b[39m44\u001b[39;49m, path \u001b[39m=\u001b[39;49m \u001b[39mNone\u001b[39;49;00m, end_epochs \u001b[39m=\u001b[39;49m epochs, DEVICE\u001b[39m=\u001b[39;49m DEVICE, trainloss\u001b[39m=\u001b[39;49mtrainloss, testloss\u001b[39m=\u001b[39;49mtestloss, start_time \u001b[39m=\u001b[39;49m time())\n\u001b[1;32m 27\u001b[0m toc \u001b[39m=\u001b[39m time()\n\u001b[1;32m 29\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m'\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39mTraining time [s]:\u001b[39m\u001b[39m'\u001b[39m,toc\u001b[39m-\u001b[39mtic)\n",
- "File \u001b[0;32m/STER/silkem/MACE/src/mace/CSE_0D/intregr_train.py:146\u001b[0m, in \u001b[0;36mtrain\u001b[0;34m(model, lr, data_loader, test_loader, nb_evol, path, end_epochs, DEVICE, trainloss, testloss, start_epochs, start_time)\u001b[0m\n\u001b[1;32m 142\u001b[0m testloss\u001b[39m.\u001b[39mset_loss_all(testloss_dict,nb)\n\u001b[1;32m 145\u001b[0m \u001b[39m## save model every epoch temporarily\u001b[39;00m\n\u001b[0;32m--> 146\u001b[0m torch\u001b[39m.\u001b[39msave(model\u001b[39m.\u001b[39mstate_dict(),path\u001b[39m+\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m/nn/nn-1\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m.pt\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 147\u001b[0m np\u001b[39m.\u001b[39msave(path\u001b[39m+\u001b[39m\u001b[39m'\u001b[39m\u001b[39m/nb_epoch.npy\u001b[39m\u001b[39m'\u001b[39m,np\u001b[39m.\u001b[39marray([epoch\u001b[39m+\u001b[39m\u001b[39m1\u001b[39m]))\n\u001b[1;32m 148\u001b[0m \u001b[39m## losses\u001b[39;00m\n",
- "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'NoneType' and 'str'"
+ "\n",
+ "Epoch 1 complete! \tAverage loss train: 0.26000265622050583 \tAverage loss test: 0.2272804179800017\n",
+ " time [hours]: 0.00042097383075290256\n",
+ "Epoch 2 complete! \tAverage loss train: 0.25864918788292107 \tAverage loss test: 0.22605194949065632\n",
+ " time [hours]: 0.000868421991666158\n",
+ "\n",
+ " \tDONE!\n",
+ "\n",
+ "Training time [s]: 3.1268084049224854\n"
]
}
],
@@ -724,14 +720,14 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 29,
"metadata": {},
"outputs": [
{
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