PyTorch torch.hstack Function
Pytorch torch Reference Manual
torch.hstackIt is a function in PyTorch used to stack tensors horizontally (along columns).
Function Definition
torch.hstack(tensors, *, out=None)
Usage Example
Example
import torch
# Horizontal stacking of one-dimensional 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 two-dimensional 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}")
# Horizontal stacking of one-dimensional 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 two-dimensional 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:
一维张量堆叠:
x1: tensor([1, 2, 3])
x2: tensor([4, 5, 6])
hstack: tensor([1, 2, 3, 4, 5, 6])
二维张量水平堆叠:
y1:
tensor([[1, 2],
[3, 4]])
y2:
tensor([[5, 6],
[7, 8]])
hstack:
tensor([[1, 2, 5, 6],
[3, 4, 7, 8]])
多个一维张量堆叠:
result: tensor([1, 2, 3, 4, 5, 6])
Other Extensions