Pytorch view -1 meaning

View(-1) in pytorch

import torch

x = torch.arange(6)

print(x.view(3, -1))      # inferred size will be 2 as 6 / 3 = 2
# tensor([[ 0.,  1.],
#         [ 2.,  3.],
#         [ 4.,  5.]])

print(x.view(-1, 6))      # inferred size will be 1 as 6 / 6 = 1
# tensor([[ 0.,  1.,  2.,  3.,  4.,  5.]])

print(x.view(1, -1, 2))   # inferred size will be 3 as 6 / (1 * 2) = 3
# tensor([[[ 0.,  1.],
#          [ 2.,  3.],
#          [ 4.,  5.]]])

# print(x.view(-1, 5))    # throw error as there's no int N so that 5 * N = 6
# RuntimeError: invalid argument 2: size '[-1 x 5]' is invalid for input with 6 elements

print(x.view(-1, -1, 3))  # throw error as only one dimension can be inferred
# RuntimeError: invalid argument 1: only one dimension can be inferred

Source: stackoverflow.com

Pytorch view -1 meaning

If there is any situation that you don't know how many rows you want but are sure of the number of columns, then you can specify this with a -1. (Note that you can extend this to tensors with more dimensions. Only one of the axis value can be -1). This is a way of telling the library: "give me a tensor that has these many columns and you compute the appropriate number of rows that is necessary to make this happen".

Similar codes

2 votes269 views1 answer
Tan for python
Python
5 votes210 views1 answer
Purge python version ubuntu
Python
1 vote181 views1 answer
Pandas merge dataframes from a list
Python
2 votes243 views2 answers
How to convert string to byte without encoding python
Python
0 vote183 views1 answer
Html.unescape python
Python
5 votes206 views4 answers
Ask a question on python
Python
6 votes182 views4 answers
Python commenting
Python
0 vote221 views1 answer
Pylatex bold
Python
0 vote211 views1 answer
How to change scenes in python
Python
0 vote186 views1 answer
Remove all na from series
Python