tolist()
This method is used to return a list or nested list from the given tensor.
Syntax: tensor.tolist()
Example: In this example, we are going to convert the given tensor into the list.
Python3
# import module import torch # create a tensor with 2 data in # 3 three elements each data = torch.tensor([[[10, 20, 30], [45, 67, 89]]]) # display print(data) # convert the tensor to list print(data.tolist()) |
Output:
tensor([[[10, 20, 30],
[45, 67, 89]]])
[[[10, 20, 30], [45, 67, 89]]]
Tensor Operations in PyTorch
In this article, we will discuss tensor operations in PyTorch.
PyTorch is a scientific package used to perform operations on the given data like tensor in python. A Tensor is a collection of data like a numpy array. We can create a tensor using the tensor function:
Syntax: torch.tensor([[[element1,element2,.,element n],……,[element1,element2,.,element n]]])
where,
- torch is the module
- tensor is the function
- elements are the data
The Operations in PyTorch that are applied on tensor are: