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• torch.cuda.random (Python module, in torch.cuda)
• torch.quasirandom (Python module, in torch)
• torch.random (Python module, in torch.random)
• torch.xpu.random (Python module, in torch.xpu)
• torch.distributed.tensor.rand (Python function, in torch.distributed.tensor)
• torch.rand (Python function, in torch.rand)
• torch.rand
• torch.distributed.tensor.randn (Python function, in torch.distributed.tensor)
• torch.nn.utils.prune.random_structured (Python function, in torch.nn.utils.prune.random_structured)
• torch.nn.utils.prune.random_unstructured (Python function, in torch.nn.utils.prune.random_unstructured)
• torch.nn.utils.prune.RandomStructured (Python class, in RandomStructured)
• torch.nn.utils.prune.RandomUnstructured (Python class, in RandomUnstructured)
• torch.rand_like (Python function, in torch.rand_like)
• torch.randint (Python function, in torch.randint)
• torch.randint_like (Python function, in torch.randint_like)
• torch.randn (Python function, in torch.randn)
• torch.randn_like (Python function, in torch.randn_like)
• torch.randperm (Python function, in torch.randperm)
• torch.Tensor.random_ (Python method, in torch.Tensor.random_)
• torch.utils.data.random_split (Python function, in torch.utils.data)
• torch.utils.data.RandomSampler (Python class, in torch.utils.data)
• torch.utils.data.SubsetRandomSampler (Python class, in torch.utils.data)
• torch.utils.data.WeightedRandomSampler (Python class, in torch.utils.data)
• Automatic differentiation package - torch.autograd
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