python-pytorchHow can I convert a Python PyTorch tensor to a NumPy array?
To convert a Python PyTorch tensor to a NumPy array, you can use the PyTorch .numpy() method. This method will return the tensor as a NumPy array.
Example
import torch
x = torch.tensor([1, 2, 3])
y = x.numpy()
print(y)
Output example
[1 2 3]
The code above consists of the following parts:
import torchimports the PyTorch library.x = torch.tensor([1, 2, 3])creates a PyTorch tensor with values 1, 2, and 3.y = x.numpy()converts the PyTorch tensor to a NumPy array.print(y)prints the NumPy array.
Helpful links
More of Python Pytorch
- How can I use Python, PyTorch, and YOLOv5 to build an object detection model?
- How do I update PyTorch using Python?
- How can I use Python and PyTorch to create a Zoom application?
- How can I use Yolov5 with PyTorch?
- How can I use Python and PyTorch to parse XML files?
- How do I use Pytorch with Python 3.11 on Windows?
- How can I use Python PyTorch with CUDA?
- How do I install a Python PyTorch .whl file?
- What is the most compatible version of Python to use with PyTorch?
- How can I use Python PyTorch without a GPU?
See more codes...