- Trending Categories
- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP

- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who

# How to perform element-wise subtraction on tensors in PyTorch?

To perform element-wise subtraction on tensors, we can use the **torch.sub()** method of PyTorch. The corresponding elements of the tensors are subtracted. We can subtract a scalar or tensor from another tensor. We can subtract a tensor from a tensor with same or different dimension. The dimension of the final tensor will be same as the dimension of the higher-dimensional tensor.

## Steps

Import the required library. In all the following Python examples, the required Python library is

**torch**. Make sure you have already installed it.Define two or more PyTorch tensors and print them. If you want to subtract a scalar quantity, define it.

Subtract a scalar or a tensor from another tensor using

**torch.sub()**and assign the value to a new variable. You can also subtract a scalar quantity from the tensor. Subtracting the tensors using this method does not make any change in the original tensors.Print the final tensor.

## Example 1

Here, we will have a Python 3 program to subtract a scalar quantity from a tensor. We will see three different ways to perform the same task.

# Python program to perform element-wise subtraction # import the required library import torch # Create a tensor t = torch.Tensor([1.5, 2.03, 3.8, 2.9]) print("Original Tensor t:

", t) # Subtract a scalar value to a tensor v = torch.sub(t, 5.60) print("Element-wise subtraction result:

", v) # Same result can also be obtained as below t1 = torch.Tensor([5.60]) w = torch.sub(t, t1) print("Element-wise subtraction result:

", w) # Other way to do above operation t2 = torch.Tensor([5.60,5.60,5.60,5.60]) x = torch.sub(t, t2) print("Element-wise subtraction result:

", x)

## Output

Original Tensor t: tensor([1.5000, 2.0300, 3.8000, 2.9000]) Element-wise subtraction result: tensor([-4.1000, -3.5700, -1.8000, -2.7000]) Element-wise subtraction result: tensor([-4.1000, -3.5700, -1.8000, -2.7000]) Element-wise subtraction result: tensor([-4.1000, -3.5700, -1.8000, -2.7000])

## Example 2

The following program shows how to subtract a 1-D tensor from a 2-D tensor.

# Import necessary library import torch # Create a 2D tensor T1 = torch.Tensor([[8,7],[4,5]]) # Create a 1-D tensor T2 = torch.Tensor([10, 5]) print("T1:

", T1) print("T2:

", T2) # Subtract 1-D tensor from 2-D tensor v = torch.sub(T1, T2) print("Element-wise subtraction result:

", v)

## Output

T1: tensor([[8., 7.], [4., 5.]]) T2: tensor([10., 5.]) Element-wise subtraction result: tensor([[-2., 2.], [-6., 0.]])

## Example 3

The following program shows how to subtract a 2D tensor from a 1D tensor.

# Python program to subtract 2D tensor from 1D tensor # Import the library import torch # Create a 2D tensor T1 = torch.Tensor([[1,2],[4,5]]) # Create a 1-D tensor T2 = torch.Tensor([10, 5]) print("T1:

", T1) print("T2:

", T2) # Subtract 2-D tensor from 1-D tensor v = torch.sub(T2, T1) print("Element-wise subtraction result:

", v)

## Output

T1: tensor([[1., 2.], [4., 5.]]) T2: tensor([10., 5.]) Element-wise subtraction result: tensor([[9., 3.], [6., 0.]])

You can notice that the final tensor is a 2D tensor.

## Example 4

The following program shows how to subtract a 2D tensor from a 2D tensor.

# import the library import torch # Create two 2-D tensors T1 = torch.Tensor([[8,7],[3,4]]) T2 = torch.Tensor([[0,3],[4,9]]) print("T1:

", T1) print("T2:

", T2) # Subtract above two 2-D tensors v = torch.sub(T1,T2) print("Element-wise subtraction result:

", v)

## Output

T1: tensor([[8., 7.], [3., 4.]]) T2: tensor([[0., 3.], [4., 9.]]) Element-wise subtraction result: tensor([[ 8., 4.], [-1., -5.]])

- Related Questions & Answers
- How to perform element-wise addition on tensors in PyTorch?
- How to perform element-wise multiplication on tensors in PyTorch?
- How to perform element-wise division on tensors in PyTorch?
- PyTorch – How to compute element-wise logical XOR of tensors?
- How to join tensors in PyTorch?
- How to find element-wise remainder in PyTorch?
- How to compare two tensors in PyTorch?
- How to create tensors with gradients in PyTorch?
- How to apply rectified linear unit function element-wise in PyTorch?
- PyTorch – How to compute element-wise entropy of an input tensor?
- How to compute the Cosine Similarity between two tensors in PyTorch?
- Instructions to perform subtraction in 8085 Microprocessor
- How to compute the element-wise angle of the given input tensor in PyTorch?
- How to perform in-place operations in PyTorch?
- How to perform an expand operation in PyTorch?