## Issue

I have two lines and I want to understand whether they will produce the same output or not?

In tensorflow: `tf.norm(my_tensor, ord=2, axis=1)`

In pytorch: `torch.norm(my_tensor, p=2, dim=1)`

Say the shape of my_tensor is `[100,2]`

Will the above two lines give the same result? Or **is the axis attribute different from dim**?

## Solution

Yes, they are the same!

```
import tensorflow as tf
tensor = [[1., 2.], [4., 5.], [3., 6.], [7., 8.], [5., 2.]]
tensor = tf.convert_to_tensor(tensor, dtype=tf.float32)
t_norm = tf.norm(tensor, ord=2, axis=1)
print(t_norm)
```

**Output**

```
tf.Tensor([ 2.236068 6.4031243 6.708204
10.630146 5.3851647], shape=(5,), dtype=float32)
```

```
import torch
tensor = [[1., 2.], [4., 5.], [3., 6.], [7., 8.], [5., 2.]]
tensor = torch.tensor(tensor, dtype=torch.float32)
t_norm = torch.norm(tensor, p=2, dim=1)
print(t_norm)
```

**Output**

```
tensor([ 2.2361, 6.4031, 6.7082, 10.6301, 5.3852])
```

Answered By – Wasi Ahmad

**This Answer collected from stackoverflow, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **