Torch stack Code Answer’s
In Python, you can use a torch. stack to concatenate tensors. This is useful when you have multiple tensors and want to concatenate them into one bigger tensor. A torch stack is a simple abstraction over the underlying tensor data structure. It provides a convenient interface for the user to use and manipulate tensors.
torch.stack example
on Jan 01, 1970
>>> import torch
>>> a = torch.randn([2, 3, 4])
>>> b = torch.randn([2, 3])
>>> b = b.unsqueeze(dim=2)
>>> b.shape
torch.Size([2, 3, 1])
>>> torch.cat([a, b], dim=2).shape
torch.Size([2, 3, 5])0
torch.stack example
on Jan 01, 1970
a.size() # 2, 3, 4
b.size() # 2, 3
b = torch.unsqueeze(b, dim=2) # 2, 3, 1
# torch.unsqueeze(b, dim=-1) does the same thing
torch.stack([a, b], dim=2) # 2, 3, 50
pytorch squeeze
on Jan 01, 1970
x = torch.zeros(2, 1, 2, 1, 2)
x.size()
>>> torch.Size([2, 1, 2, 1, 2])
y = torch.squeeze(x) # remove 1
y.size()
>>> torch.Size([2, 2, 2])
y = torch.squeeze(x, 0)
y.size()
>>> torch.Size([2, 1, 2, 1, 2])
y = torch.squeeze(x, 1)
y.size()
>>> torch.Size([2, 2, 1, 2])
0
torch.stack
on Jan 01, 1970
> torch.stack(
(t1,t2,t3)
,dim=0
)
tensor([[1, 1, 1],
[2, 2, 2],
[3, 3, 3]])0
torch stack is a library to support tensors in the torch. It is a wrapper around NumPy and allows you to use the torch as an alternative to NumPy.Torch Stack is a convenient way to deal with tensors in Torch.
Python answers related to "torch stack"
torch stack torch stack torch stack pytorch install torch.norm() torch.norm() torch.from_numpy torch max pytorch install torch max torch.from_numpy torch.from_numpy depth first search stack breadth first search stack program in python 3
View All Python queries
Python queries related to "torch stack"
Browse Other Code Languages
Abap ActionScript Assembly BASIC C C# C++ Clojure Cobol CSS Dart Delphi Elixir Erlang F# Fortran Go Groovy Haskell Html Java Javascript Julia Kotlin Lisp Lua Matlab Objective-C Pascal Perl PHP PostScript Prolog Python R Ruby Rust Scala Scheme Shell/Bash Smalltalk SQL Swift TypeScript VBA WebAssembly Whatever
