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Updated 4 years ago

# How to Perform Basic Matrix Operations with Pytorch Tensor

In this Notebook, I try to Explain Basic Matrix Operations using PyTorch tensor.

### Lets Discuss Tensor First!

*Tensor is a multi-dimensional matrix containing elements of a single data type.*

like tensor is multidimensional so you can Easily handle number Which is a zero-dimensional matrix, vector Which is a single-dimensional matrix, matrix Which is a two-dimensional matrix, or multi-dimensions matrix.

```
# Import torch and other required modules
import torch
```

```
# Number
t1 = torch.tensor(9.)
t1
```

`tensor(9.)`

```
# vector
t2 = torch.tensor([1,2,3,4,5])
t2
```

`tensor([1, 2, 3, 4, 5])`

```
# matrix
t3 = torch.tensor([[2., 6],
[8, 9],
[9, 4]])
t3
```

```
tensor([[2., 6.],
[8., 9.],
[9., 4.]])
```