What are some examples of using CuPy in Python?

What are some examples of using CuPy in Python?

CuPy is a library for GPU-accelerated computing in Python. Here are a few examples of its usage:

1. Array Creation: You can create a CuPy array from a NumPy array using cupy.asarray().
2. Matrix Multiplication: Use cupy.dot() for efficient matrix multiplication on the GPU.
3. Element-wise Operations: Perform operations like addition or multiplication directly on CuPy arrays, which are executed on the GPU.

Can you show me a code snippet for matrix multiplication?

Sure! Here's a simple example of matrix multiplication using CuPy:

import cupy as cp

# Create two random matrices
A = cp.random.rand(3, 2)
B = cp.random.rand(2, 3)

# Perform matrix multiplication
C = cp.dot(A, B)
print(C)

This code creates two random matrices and multiplies them using CuPy.

What about using CuPy with existing NumPy code?

You can easily integrate CuPy with NumPy. Just replace NumPy functions with their CuPy equivalents. For example:

import numpy as np
import cupy as cp

# Create a NumPy array
np_array = np.array([[1, 2], [3, 4]])

# Convert to CuPy array
cp_array = cp.asarray(np_array)

# Now you can perform GPU operations on cp_array.

This allows you to leverage GPU acceleration without rewriting all your code.