nvidia-curand

import cupy as cp import os # This quickstart demonstrates how CuPy, which uses cuRAND (provided by nvidia-curand), # generates random numbers on the GPU. Ensure an NVIDIA GPU and drivers are installed. # Optional: Set CUDA_VISIBLE_DEVICES if you have multiple GPUs and want to specify one # os.environ['CUDA_VISIBLE_DEVICES'] = '0' try: # Generate 5 random floats on the GPU using CuPy gpu_random_numbers = cp.random.rand(5) print("GPU Random Numbers (CuPy using cuRAND):", gpu_random_numbers) # Verify the device print(f"Generated on device: {gpu_random_numbers.device}") # Perform a basic GPU calculation with another random array gpu_array_a = cp.array([10.0, 20.0, 30.0], dtype=cp.float32) gpu_array_b = cp.random.rand(3, dtype=cp.float32) # Uses cuRAND gpu_result = gpu_array_a * gpu_array_b print("GPU Array A:", gpu_array_a) print("GPU Array B (random):", gpu_array_b) print("GPU Result (A * B):", gpu_result) except cp.cuda.runtime.CUDARuntimeError as e: print(f"CUDA Error encountered: {e}") print("Please ensure you have an NVIDIA GPU, compatible drivers, and CUDA toolkit installed.") print("Also, verify that CuPy is installed and configured correctly.") except Exception as e: print(f"An unexpected error occurred: {e}")