Create a 2D tensor with shape (2, 3) and values [[1, 2, 3], [4, 5, 6]]. Transpose the tensor.

Sure, the code to create the 2D tensor and transpose it using Python is:

import torch

# create 2D tensor
tensor_2d = torch.tensor([[1, 2, 3], [4, 5, 6]])

# transpose tensor
tensor_transposed = tensor_2d.transpose(0, 1)

print(tensor_transposed)

The output will be:

tensor([[1, 4],
        [2, 5],
        [3, 6]])

Hope this helps!

相关问题

Create a 1D tensor with values [1, 2, 3, 4, 5] and slice it to get a tensor with values [2, 4].

Sure! Here's the code to create the tensor and slice it:

import torch

# Create tensor
t = torch.tensor([1, 2, 3, 4, 5])

# Slice tensor
sliced_t = t[1::2]

# Print sliced tensor
print(sliced_t)

Output: `tensor([2, 4])`

Hope that helps!

将a=tensor（【1，2，3，4，5，6】）形状变换成2*3的tensor

可以使用`reshape()`函数来改变张量的形状。对于将形状从(6,)变为(2,3)，可以使用以下代码：

import torch

a = torch.tensor([1, 2, 3, 4, 5, 6])
b = a.reshape(2, 3)

现在`b`将是一个2x3的张量，其值为：

tensor([[1, 2, 3],
        [4, 5, 6]])

需要注意的是，在使用`reshape()`函数时，要确保新形状的总元素数与原始张量的总元素数相同，否则会出现错误。