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# PyTorch torch.column_stack Function * * Pytorch torch Reference Manual](#) `torch.column_stack` is a function in PyTorch used to stack tensors by columns. ### Function Definition torch.column_stack(tensors, *, out=None) * * * ## Usage Examples ## Example import torch # 1D Tensor Column Stack x1 = torch.tensor([1,2,3]) x2 = torch.tensor([4,5,6]) result = torch.column_stack([x1, x2]) print("1D Tensor Column Stack:") print(f" x1: {x1}") print(f" x2: {x2}") print(f" column_stack:n{result}") # 2D Tensor Column Stack y1 = torch.tensor([,,]) y2 = torch.tensor([,,]) result = torch.column_stack([y1, y2]) print("n2D Tensor Column Stack:") print(f" y1:n{y1}") print(f" y2:n{y2}") print(f" column_stack:n{result}") # Multiple Tensors Column Stack z1 = torch.tensor([1,2,3]) z2 = torch.tensor([4,5,6]) z3 = torch.tensor([7,8,9]) result = torch.column_stack([z1, z2, z3]) print("nMultiple 1D Tensor Column Stack:") print(f" result:n{result}") The output result is: 1D tensor column stacking: x1: tensor([1, 2, 3]) x2: tensor([4, 5, 6]) column_stack: tensor([[1, 4], [2, 5], [3, 6]])2D tensor column stacking: y1: tensor([, , ]) y2: tensor([, , ]) column_stack: tensor([[1, 4], [2, 5], [3, 6]])Multiple 1D tensors column stacking: result: tensor([[1, 4, 7], [2, 5, 8], [3, 6, 9]]) * * Pytorch torch Reference Manual](#)