From 4850dd4697e58a8ee76320e4ad7a8fff0b3f9cc9 Mon Sep 17 00:00:00 2001
From: Tejas Jain <36858630+jaintj95@users.noreply.github.com>
Date: Tue, 20 Nov 2018 01:26:47 +0530
Subject: [PATCH 1/2] Replace model.forward with model

As per pytorch documentation use of model.forward is discouraged.
https://discuss.pytorch.org/t/any-different-between-model-input-and-model-forward-input/3690
---
 .../Part 3 - Training Neural Networks (Exercises).ipynb       | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/intro-to-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb b/intro-to-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb
index c62185150e..14b0e99882 100644
--- a/intro-to-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb	
+++ b/intro-to-pytorch/Part 3 - Training Neural Networks (Exercises).ipynb	
@@ -380,7 +380,7 @@
     "optimizer.zero_grad()\n",
     "\n",
     "# Forward pass, then backward pass, then update weights\n",
-    "output = model.forward(images)\n",
+    "output = model(images)\n",
     "loss = criterion(output, labels)\n",
     "loss.backward()\n",
     "print('Gradient -', model[0].weight.grad)"
@@ -463,7 +463,7 @@
     "img = images[0].view(1, 784)\n",
     "# Turn off gradients to speed up this part\n",
     "with torch.no_grad():\n",
-    "    logits = model.forward(img)\n",
+    "    logits = model(img)\n",
     "\n",
     "# Output of the network are logits, need to take softmax for probabilities\n",
     "ps = F.softmax(logits, dim=1)\n",

From 40fb603687cda5cd4ac83d7ebdecea39ab00ae9d Mon Sep 17 00:00:00 2001
From: Tejas Jain <36858630+jaintj95@users.noreply.github.com>
Date: Tue, 20 Nov 2018 01:30:03 +0530
Subject: [PATCH 2/2] Replace model.forward with model

As per pytorch documentation use of model.forward is discouraged.
https://discuss.pytorch.org/t/any-different-between-model-input-and-model-forward-input/3690
---
 .../Part 3 - Training Neural Networks (Solution).ipynb      | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/intro-to-pytorch/Part 3 - Training Neural Networks (Solution).ipynb b/intro-to-pytorch/Part 3 - Training Neural Networks (Solution).ipynb
index 9e6410af78..fed41b4acc 100644
--- a/intro-to-pytorch/Part 3 - Training Neural Networks (Solution).ipynb	
+++ b/intro-to-pytorch/Part 3 - Training Neural Networks (Solution).ipynb	
@@ -494,7 +494,7 @@
     "optimizer.zero_grad()\n",
     "\n",
     "# Forward pass, then backward pass, then update weights\n",
-    "output = model.forward(images)\n",
+    "output = model(images)\n",
     "loss = criterion(output, labels)\n",
     "loss.backward()\n",
     "print('Gradient -', model[0].weight.grad)"
@@ -581,7 +581,7 @@
     "        # TODO: Training pass\n",
     "        optimizer.zero_grad()\n",
     "        \n",
-    "        output = model.forward(images)\n",
+    "        output = model(images)\n",
     "        loss = criterion(output, labels)\n",
     "        loss.backward()\n",
     "        optimizer.step()\n",
@@ -625,7 +625,7 @@
     "img = images[0].view(1, 784)\n",
     "# Turn off gradients to speed up this part\n",
     "with torch.no_grad():\n",
-    "    logps = model.forward(img)\n",
+    "    logps = model(img)\n",
     "\n",
     "# Output of the network are logits, need to take softmax for probabilities\n",
     "ps = torch.exp(logps)\n",