Updates to tutorial and run post codacy changes
This commit is contained in:
Matteo Bertocchi
committed by
Nicola Demo
Nicola Demo
parent
9e55746546
commit
b38b0894b1
149
tutorials/tutorial11/tutorial.ipynb
vendored
149
tutorials/tutorial11/tutorial.ipynb
vendored
@@ -33,6 +33,7 @@
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" !pip install \"pina-mathlab\"\n",
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"\n",
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"import torch\n",
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"import warnings\n",
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"\n",
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"from pina import Condition, Trainer\n",
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"from pina.solver import PINN\n",
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@@ -42,6 +43,8 @@
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"from pina.domain import CartesianDomain\n",
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"from pina.equation import Equation, FixedValue\n",
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"\n",
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"warnings.filterwarnings('ignore')\n",
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"\n",
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"class SimpleODE(SpatialProblem):\n",
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"\n",
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" output_variables = ['u']\n",
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@@ -180,93 +183,90 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n",
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"/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py:73: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 27.90it/s, v_num=51, val_loss=0.000392, bound_cond_loss=5.29e-6, phys_cond_loss=0.000459, train_loss=0.000465] "
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 91.87it/s, v_num=8, bound_cond_loss=6.07e-5, phys_cond_loss=0.000828, train_loss=0.000889] "
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]
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 23.95it/s, v_num=51, val_loss=0.000392, bound_cond_loss=5.29e-6, phys_cond_loss=0.000459, train_loss=0.000465]\n"
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 57.75it/s, v_num=8, bound_cond_loss=6.07e-5, phys_cond_loss=0.000828, train_loss=0.000889]\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n",
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"/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py:73: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 28.54it/s, v_num=52, val_loss=0.00267, bound_cond_loss=2.42e-5, phys_cond_loss=0.00144, train_loss=0.00146] "
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 79.80it/s, v_num=9, bound_cond_loss=8.63e-5, phys_cond_loss=0.00215, train_loss=0.00223] "
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 24.59it/s, v_num=52, val_loss=0.00267, bound_cond_loss=2.42e-5, phys_cond_loss=0.00144, train_loss=0.00146]\n"
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 54.20it/s, v_num=9, bound_cond_loss=8.63e-5, phys_cond_loss=0.00215, train_loss=0.00223]\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n",
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"/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py:73: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 29.41it/s, v_num=53, val_loss=0.00363, bound_cond_loss=1.02e-5, phys_cond_loss=0.000846, train_loss=0.000856] "
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 82.98it/s, v_num=10, bound_cond_loss=2.84e-5, phys_cond_loss=0.00118, train_loss=0.00121] "
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 24.69it/s, v_num=53, val_loss=0.00363, bound_cond_loss=1.02e-5, phys_cond_loss=0.000846, train_loss=0.000856]\n"
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 55.87it/s, v_num=10, bound_cond_loss=2.84e-5, phys_cond_loss=0.00118, train_loss=0.00121]\n"
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]
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}
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],
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@@ -285,8 +285,11 @@
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" pinn = PINN(problem, model)\n",
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" trainer = Trainer(solver=pinn,\n",
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" accelerator='cpu',\n",
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" logger=TensorBoardLogger(save_dir='simpleode'),\n",
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" enable_model_summary=False)\n",
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" logger=TensorBoardLogger(save_dir='training_log'),\n",
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" enable_model_summary=False,\n",
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" train_size=1.0,\n",
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" val_size=0.0,\n",
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" test_size=0.0)\n",
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" trainer.train()"
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]
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},
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@@ -377,31 +380,30 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n",
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"/home/matte_b/.local/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py:73: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 28.21it/s, v_num=18, val_loss=0.000348, bound_cond_loss=7.54e-5, phys_cond_loss=0.000956, train_loss=0.00103] "
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 90.01it/s, v_num=70, bound_cond_loss=2.14e-5, phys_cond_loss=0.000448, train_loss=0.000469] "
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=1000` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 23.99it/s, v_num=18, val_loss=0.000348, bound_cond_loss=7.54e-5, phys_cond_loss=0.000956, train_loss=0.00103]\n"
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"Epoch 999: 100%|██████████| 1/1 [00:00<00:00, 57.95it/s, v_num=70, bound_cond_loss=2.14e-5, phys_cond_loss=0.000448, train_loss=0.000469]\n"
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]
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}
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],
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@@ -415,8 +417,12 @@
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"pinn = PINN(problem, model)\n",
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"trainer = Trainer(solver=pinn,\n",
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" accelerator='cpu',\n",
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" logger=True,\n",
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" callbacks=[NaiveMetricTracker()], # adding a callbacks\n",
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" enable_model_summary=False,\n",
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" callbacks=[NaiveMetricTracker()]) # adding a callbacks\n",
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" train_size=1.0,\n",
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" val_size=0.0,\n",
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" test_size=0.0)\n",
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"trainer.train()"
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]
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},
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@@ -435,18 +441,15 @@
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{
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"data": {
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"text/plain": [
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"[{'val_loss': tensor(1.0595),\n",
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" 'bound_cond_loss': tensor(1.0607),\n",
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" 'phys_cond_loss': tensor(0.0043),\n",
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" 'train_loss': tensor(1.0650)},\n",
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" {'val_loss': tensor(1.0503),\n",
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" 'bound_cond_loss': tensor(1.0522),\n",
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" 'phys_cond_loss': tensor(0.0038),\n",
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" 'train_loss': tensor(1.0560)},\n",
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" {'val_loss': tensor(1.0412),\n",
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" 'bound_cond_loss': tensor(1.0439),\n",
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" 'phys_cond_loss': tensor(0.0033),\n",
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" 'train_loss': tensor(1.0471)}]"
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"[{'bound_cond_loss': tensor(0.0385),\n",
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" 'phys_cond_loss': tensor(0.7217),\n",
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" 'train_loss': tensor(0.7602)},\n",
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" {'bound_cond_loss': tensor(0.0399),\n",
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" 'phys_cond_loss': tensor(0.7142),\n",
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" 'train_loss': tensor(0.7541)},\n",
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" {'bound_cond_loss': tensor(0.0413),\n",
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" 'phys_cond_loss': tensor(0.7067),\n",
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" 'train_loss': tensor(0.7480)}]"
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]
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},
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"execution_count": 7,
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@@ -469,23 +472,23 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 6468: 100%|██████████| 1/1 [00:00<00:00, 19.10it/s, v_num=19, val_loss=0.000129, bound_cond_loss=1.57e-8, phys_cond_loss=3.01e-6, train_loss=3.02e-6] \n"
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"Epoch 4186: 100%|██████████| 1/1 [00:00<00:00, 37.06it/s, v_num=71, bound_cond_loss=1.91e-10, phys_cond_loss=3.88e-6, train_loss=3.88e-6] \n"
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]
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}
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],
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@@ -545,31 +548,31 @@
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"output_type": "stream",
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"text": [
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"Seed set to 42\n",
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 22.76it/s, v_num=20, val_loss=4.61e-5, bound_cond_loss=1.22e-6, phys_cond_loss=0.000171, train_loss=0.000172] "
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 82.19it/s, v_num=72, bound_cond_loss=1.74e-6, phys_cond_loss=0.00018, train_loss=0.000182] "
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"output_type": "stream",
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
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]
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"text": [
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 19.28it/s, v_num=20, val_loss=4.61e-5, bound_cond_loss=1.22e-6, phys_cond_loss=0.000171, train_loss=0.000172]\n",
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"Total training time 92.35361 s\n"
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 56.83it/s, v_num=72, bound_cond_loss=1.74e-6, phys_cond_loss=0.00018, train_loss=0.000182]\n",
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"Total training time 32.64355 s\n"
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"text": [
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"Seed set to 42\n",
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"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
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"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
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"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
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"GPU available: False, used: False\n",
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"TPU available: False, using: 0 TPU cores\n",
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"HPU available: False, using: 0 HPUs\n"
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]
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"name": "stdout",
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"text": [
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"Epoch 1598: 100%|██████████| 1/1 [00:00<00:00, 30.61it/s, v_num=21, val_loss=4.54e-5, bound_cond_loss=5.03e-6, phys_cond_loss=0.000247, train_loss=0.000252] "
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"Epoch 1598: 100%|██████████| 1/1 [00:00<00:00, 70.77it/s, v_num=73, bound_cond_loss=7.01e-6, phys_cond_loss=0.000283, train_loss=0.00029] "
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"text": [
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"INFO:pytorch_lightning.utilities.rank_zero:Swapping scheduler `ConstantLR` for `SWALR`\n"
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"Swapping scheduler `ConstantLR` for `SWALR`\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 28.21it/s, v_num=21, val_loss=3.45e-5, bound_cond_loss=2.41e-7, phys_cond_loss=9.02e-5, train_loss=9.04e-5] "
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"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 62.57it/s, v_num=73, bound_cond_loss=2.74e-7, phys_cond_loss=9.51e-5, train_loss=9.54e-5] "
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]
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},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
|
||||
"`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 22.97it/s, v_num=21, val_loss=3.45e-5, bound_cond_loss=2.41e-7, phys_cond_loss=9.02e-5, train_loss=9.04e-5]\n",
|
||||
"Total training time 86.25178 s\n"
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 40.66it/s, v_num=73, bound_cond_loss=2.74e-7, phys_cond_loss=9.51e-5, train_loss=9.54e-5]\n",
|
||||
"Total training time 39.14717 s\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -702,45 +705,45 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Seed set to 42\n",
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:GPU available: False, used: False\n",
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
|
||||
"GPU available: False, used: False\n",
|
||||
"TPU available: False, using: 0 TPU cores\n",
|
||||
"HPU available: False, using: 0 HPUs\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Epoch 1598: 100%|██████████| 1/1 [00:00<00:00, 27.78it/s, v_num=22, val_loss=1.52e-5, bound_cond_loss=5.29e-8, phys_cond_loss=4.07e-5, train_loss=4.08e-5] "
|
||||
"Epoch 1598: 100%|██████████| 1/1 [00:00<00:00, 69.88it/s, v_num=74, bound_cond_loss=5.16e-8, phys_cond_loss=3.54e-5, train_loss=3.54e-5] "
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:Swapping scheduler `ConstantLR` for `SWALR`\n"
|
||||
"Swapping scheduler `ConstantLR` for `SWALR`\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 28.11it/s, v_num=22, val_loss=0.000427, bound_cond_loss=0.000311, phys_cond_loss=0.000849, train_loss=0.00116] "
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 73.42it/s, v_num=74, bound_cond_loss=0.000126, phys_cond_loss=0.000315, train_loss=0.000441] "
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
|
||||
"`Trainer.fit` stopped: `max_epochs=2000` reached.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 22.88it/s, v_num=22, val_loss=0.000427, bound_cond_loss=0.000311, phys_cond_loss=0.000849, train_loss=0.00116]\n",
|
||||
"Total training time 87.27789 s\n"
|
||||
"Epoch 1999: 100%|██████████| 1/1 [00:00<00:00, 47.28it/s, v_num=74, bound_cond_loss=0.000126, phys_cond_loss=0.000315, train_loss=0.000441]\n",
|
||||
"Total training time 40.19983 s\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
Reference in New Issue
Block a user