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PyTorch | Tensor Operations | . randint () | Codecademy randint() is commonly used in deep learning workflows for tasks such as creating random masks, generating synthetic datasets, initializing tensor values with random integers, and implementing various randomized algorithms
randint and randperm in PyTorch - DEV Community randint () can create the 0D or more D tensor of the zero or more random integers (Default) or floating-point numbers between low and high-1 (low <=x<= high-1) as shown below:
Mastering Randomness: The Power of Torch Randint Explained Learn how to use `torch randint` for random number generation, tensor creation, and data augmentation in PyTorch, including its parameters, usage, and applications in machine learning and deep learning, with `torch randint` examples and best practices for efficient tensor operations