From 8f4823dbdf36de7c6643492abd31711f5bd48eb5 Mon Sep 17 00:00:00 2001
From: Lilla Csanaky <lilla.csanaky@beekeeper.io>
Date: Sat, 24 Jan 2026 16:55:46 +0100
Subject: [PATCH 1/2] Create file and write content

---
 .../tensor-operations/terms/tan/tan.md        | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/tan/tan.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/tan/tan.md b/content/pytorch/concepts/tensor-operations/terms/tan/tan.md
new file mode 100644
index 00000000000..761f5d76f2d
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/tan/tan.md
@@ -0,0 +1,76 @@
+---
+Title: '.tan()'
+Description: 'Returns the tangent of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/machine-learning'
+---
+
+The **`.tan()`** function returns the tangent of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It is part of PyTorch’s math operations used in deep learning and scientific computing.
+
+## Syntax
+
+```py
+torch.tan(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Input tensor with one or more elements in radians.
+- `out` (Tensor, optional): Optional tensor to store the output.
+
+**Return value:**
+
+A tensor containing the tangent of each input element, with the same shape as the input tensor.
+
+## Example 1: Using `.tan()` with a 1D tensor
+
+In this example, `.tan()` computes the tangent of a 1D tensor containing angles in radians:
+
+```py
+import torch
+
+# Create a tensor with values in radians
+input_tensor = torch.tensor([0, torch.pi / 4, torch.pi / 6])
+
+# Compute the tangent
+output_tensor = torch.tan(input_tensor)
+
+print(output_tensor)
+```
+
+The output of this code is:
+
+```shell
+tensor([0.0000, 1.0000, 0.5774])
+```
+
+## Example 2: Applying `.tan()` with a 2D tensor
+
+In this example, `.tan()` is applied to a 2D tensor of angles in radians:
+
+```py
+import torch
+
+# Create a 2x2 tensor with elements with values in radians
+matrix = torch.tensor([[0, torch.pi / 4], [torch.pi, torch.pi / 6]])
+
+# Compute the tangent
+result = torch.tan(matrix)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([[0.0000, 1.0000],
+        [0.0000, 0.5774]])
+```

From 8d8c13b292fb16fe0d4e437b85ce79d5801e6ffe Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 26 Jan 2026 15:50:43 +0530
Subject: [PATCH 2/2] Update documentation to use torch.tan() instead of .tan()

---
 .../concepts/tensor-operations/terms/tan/tan.md  | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/content/pytorch/concepts/tensor-operations/terms/tan/tan.md b/content/pytorch/concepts/tensor-operations/terms/tan/tan.md
index 761f5d76f2d..c36f3ec2b65 100644
--- a/content/pytorch/concepts/tensor-operations/terms/tan/tan.md
+++ b/content/pytorch/concepts/tensor-operations/terms/tan/tan.md
@@ -13,11 +13,11 @@ CatalogContent:
   - 'paths/machine-learning'
 ---
 
-The **`.tan()`** function returns the tangent of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It is part of PyTorch’s math operations used in deep learning and scientific computing.
+The **`torch.tan()`** function returns the tangent of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It is part of PyTorch’s math operations used in deep learning and scientific computing.
 
 ## Syntax
 
-```py
+```pseudo
 torch.tan(input, *, out=None) → Tensor
 ```
 
@@ -30,9 +30,9 @@ torch.tan(input, *, out=None) → Tensor
 
 A tensor containing the tangent of each input element, with the same shape as the input tensor.
 
-## Example 1: Using `.tan()` with a 1D tensor
+## Example 1: Using `torch.tan()` with a 1D tensor
 
-In this example, `.tan()` computes the tangent of a 1D tensor containing angles in radians:
+In this example, `torch.tan()` computes the tangent of a 1D tensor containing angles in radians:
 
 ```py
 import torch
@@ -52,9 +52,9 @@ The output of this code is:
 tensor([0.0000, 1.0000, 0.5774])
 ```
 
-## Example 2: Applying `.tan()` with a 2D tensor
+## Example 2: Applying `torch.tan()` with a 2D tensor
 
-In this example, `.tan()` is applied to a 2D tensor of angles in radians:
+In this example, `torch.tan()` is applied to a 2D tensor of angles in radians:
 
 ```py
 import torch
@@ -71,6 +71,6 @@ print(result)
 The output of this code is:
 
 ```shell
-tensor([[0.0000, 1.0000],
-        [0.0000, 0.5774]])
+tensor([[0.0000e+00, 1.0000e+00],
+        [8.7423e-08, 5.7735e-01]])
 ```