how to convert numpy array to tensor pytorch

Title: Converting NumPy Array to PyTorch Tensor: A Step-by-Step Tutorial
Introduction:
NumPy and PyTorch are powerful libraries widely used in the field of machine learning and scientific computing. While NumPy is excellent for numerical operations in Python, PyTorch provides a flexible deep learning framework. In this tutorial, we'll explore how to convert a NumPy array to a PyTorch tensor, enabling seamless integration of NumPy-based data with PyTorch models.
Prerequisites:
Make sure you have NumPy and PyTorch installed. You can install them using:
Step 1: Import the necessary libraries
Start by importing NumPy and PyTorch in your Python script or Jupyter Notebook:
Step 2: Create a NumPy array
Generate a NumPy array or use an existing one. For demonstration purposes, let's create a simple 2D array:
Step 3: Convert NumPy array to PyTorch tensor
Both methods create a PyTorch tensor from the NumPy array, and the data will be shared between them.
Step 4: Verify the conversion
Print the NumPy array and the corresponding PyTorch tensor to confirm the successful conversion: