From 39ab47d0dece397c9d517837562575b2607b5ac8 Mon Sep 17 00:00:00 2001
From: AmitChaubey <amit.katyayana@gmail.com>
Date: Sun, 12 Apr 2026 22:49:58 +0100
Subject: [PATCH 1/2] Fix Transforms tutorial: unify target_transform and
 ToTensor prose

---
 beginner_source/basics/transforms_tutorial.py | 23 +++++++++++--------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/beginner_source/basics/transforms_tutorial.py b/beginner_source/basics/transforms_tutorial.py
index 33076958bf5..61f813e0fd9 100644
--- a/beginner_source/basics/transforms_tutorial.py
+++ b/beginner_source/basics/transforms_tutorial.py
@@ -30,12 +30,18 @@
 from torchvision import datasets
 from torchvision.transforms import ToTensor, Lambda
 
+target_transform = Lambda(
+    lambda y: torch.zeros(10, dtype=torch.float32).scatter_(
+        dim=0, index=torch.tensor(y), value=1
+    )
+)
+
 ds = datasets.FashionMNIST(
     root="data",
     train=True,
     download=True,
     transform=ToTensor(),
-    target_transform=Lambda(lambda y: torch.zeros(10, dtype=torch.float).scatter_(0, torch.tensor(y), value=1))
+    target_transform=target_transform,
 )
 
 #################################################
@@ -43,7 +49,7 @@
 # -------------------------------
 #
 # `ToTensor <https://pytorch.org/vision/stable/transforms.html#torchvision.transforms.ToTensor>`_
-# converts a PIL image or NumPy ``ndarray`` into a ``FloatTensor``. and scales
+# converts a PIL image or NumPy ``ndarray`` into a ``FloatTensor`` and scales
 # the image's pixel intensity values in the range [0., 1.]
 #
 
@@ -51,14 +57,11 @@
 # Lambda Transforms
 # -------------------------------
 #
-# Lambda transforms apply any user-defined lambda function. Here, we define a function
-# to turn the integer into a one-hot encoded tensor.
-# It first creates a zero tensor of size 10 (the number of labels in our dataset) and calls
-# `scatter_ <https://pytorch.org/docs/stable/generated/torch.Tensor.scatter_.html>`_ which assigns a
-# ``value=1`` on the index as given by the label ``y``.
-
-target_transform = Lambda(lambda y: torch.zeros(
-    10, dtype=torch.float).scatter_(dim=0, index=torch.tensor(y), value=1))
+# Lambda transforms apply any user-defined callable. Above, ``target_transform`` wraps a
+# small lambda that turns each label ``y`` into a one-hot encoded tensor: it allocates a
+# length-10 zero vector and uses
+# `scatter_ <https://pytorch.org/docs/stable/generated/torch.Tensor.scatter_.html>`_ to write
+# ``value=1`` at index ``y``.
 
 ######################################################################
 # --------------

From 6db67a5eb042b6c63e06e751033da9b537c81d8c Mon Sep 17 00:00:00 2001
From: AmitChaubey <amit.katyayana@gmail.com>
Date: Mon, 13 Apr 2026 18:29:34 +0100
Subject: [PATCH 2/2] retrigger CI