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use torch no grad for loss (#119)

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Sebastian Raschka 2024-04-14 09:13:07 -04:00 committed by GitHub
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1 changed files with 4 additions and 2 deletions
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ch05/01_main-chapter-code/ch05.ipynb
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@ -1135,8 +1135,10 @@
"\n", "\n",
"\n", "\n",
"torch.manual_seed(123) # For reproducibility due to the shuffling in the data loader\n", "torch.manual_seed(123) # For reproducibility due to the shuffling in the data loader\n",
"train_loss = calc_loss_loader(train_loader, model, device)\n", "\n",
"val_loss = calc_loss_loader(val_loader, model, device)\n", "with torch.no_grad(): # Disable gradient tracking for efficiency because we are not training, yet\n",
" train_loss = calc_loss_loader(train_loader, model, device)\n",
" val_loss = calc_loss_loader(val_loader, model, device)\n",
"\n", "\n",
"print(\"Training loss:\", train_loss)\n", "print(\"Training loss:\", train_loss)\n",
"print(\"Validation loss:\", val_loss)" "print(\"Validation loss:\", val_loss)"