YouTipPytorch Torch Cuda Synchronize
# PyTorch torch.cuda.synchronize Function
* * PyTorch torch Reference Manual](#)
`torch.cuda.synchronize` is a CUDA synchronization function in PyTorch. It waits for all CUDA cores to complete current tasks, ensuring synchronization between CPU and GPU operations.
### Function Definition
torch.cuda.synchronize(device=None)
* * *
## Usage Example
## Example
import torch
import time
# CUDA synchronization example
if torch.cuda.is_available():
# Create CUDA tensor and execute operations
x = torch.randn(1000,1000).cuda()
y = torch.mm(x, x)
# Synchronize CUDA operations
torch.cuda.synchronize()
print("CUDA operations synchronized")
else:
print("CUDA not available")
* * PyTorch torch Reference Manual](#)