| title | order | snippet | summary-home | featured-home |
|---|---|---|---|---|
Python-First |
3 |
```python
import torch
import numpy as np
a = np.ones(5)
b = torch.from_numpy(a)
np.add(a, 1, out=a)
print(a)
print(b)
```
|
Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. |
true |
PyTorch is not a Python binding into a monolithic C++ framework. It's built to be deeply integrated into Python so it can be used with popular libraries and packages such as Cython and Numba.