YouTip

# PyTorch torch.hstack Function * * Pytorch torch Reference Manual](#) `torch.hstack` is a function in PyTorch used to stack tensors horizontally (along columns). ### Function Definition torch.hstack(tensors, *, out=None) * * * ## Usage Examples ## Example import torch # Horizontal Stacking of 1D Tensors x1 = torch.tensor([1,2,3]) x2 = torch.tensor([4,5,6]) result = torch.hstack([x1, x2]) print("1D Tensor Stacking:") print(f" x1: {x1}") print(f" x2: {x2}") print(f" hstack: {result}") # Horizontal Stacking of 2D Tensors y1 = torch.tensor([[1,2],[3,4]]) y2 = torch.tensor([[5,6],[7,8]]) result = torch.hstack([y1, y2]) print("nHorizontal Stacking of 2D Tensors:") print(f" y1:n{y1}") print(f" y2:n{y2}") print(f" hstack:n{result}") # Stacking Multiple Tensors z1 = torch.tensor([1,2]) z2 = torch.tensor([3,4]) z3 = torch.tensor([5,6]) result = torch.hstack([z1, z2, z3]) print("nStacking Multiple 1D Tensors:") print(f" result: {result}") The output result is: 1D tensor stacking: x1: tensor([1, 2, 3]) x2: tensor([4, 5, 6]) hstack: tensor([1, 2, 3, 4, 5, 6])2D tensor horizontal stacking: y1: tensor([[1, 2], [3, 4]]) y2: tensor([[5, 6], [7, 8]]) hstack: tensor([[1, 2, 5, 6], [3, 4, 7, 8]])Stacking multiple 1D tensors: result: tensor([1, 2, 3, 4, 5, 6]) * * Pytorch torch Reference Manual](#) AI is thinking... [](#)(#) [PyTorch torch.nn Reference Manual](#)[](#)