5 unstable releases
0.3.0-alpha.2 | Jun 23, 2022 |
---|---|
0.3.0-alpha.1 | Dec 31, 2021 |
0.2.1 | Sep 4, 2021 |
0.2.0 | Sep 4, 2021 |
0.1.0 | Apr 7, 2021 |
#404 in Machine learning
16KB
248 lines
einops
This library is heavily inspired by python's einops.
Currently tch is the only available backend.
Difference from the python version,
- All code generated at compile time, avoiding the need for caching
- One common api for rearrange, reduce and repeat operations
- Shape and reduction operations can be directly specified in the expression
Getting Started
Transpose
Permute/Transpose dimensions, left side of ->
is the original state, right of ->
describes the end state
// (28, 28, 3) becomes (3, 28, 28)
let output = einops!("h w c -> c h w", &input);
Composition
Combine dimensions by putting them inside a parenthesis on the right of ->
// (10, 28, 28, 3) becomes (280, 28, 3)
let output = einops!("b h w c -> (b h) w c", &input);
Transpose + Composition
Transpose a tensor, followed by a composing two dimensions into one, in one single expression
// (10, 28, 28, 3) becomes (28, 280, 3)
let output = einops!("b h w c -> h (b w) c", &input);
Decomposition
Split a dimension into two, by specifying the details inside parenthesis on the left,
specify the shape of the new dimensions like so b1:2
, b1
is a new dimension with shape 2
// (10, 28, 28, 3) becomes (2, 5, 28, 28, 3)
let output = einops!("(b1:2 b2) h w c -> b1 b2 h w c", &input);
New axis can also be specified from variables or fields (struct and enum) using curly braces
let b1 = 2;
let output = einops!("({b1} b2) h w c -> {b1} b2 h w c", &input);
Decomposition + Transpose + Composition
We can perform all operations discussed so far in a single expression
// (10, 28, 28, 3) becomes (56, 140 3)
let output = einops!("b h (w w2:2) c -> (h w2) (b w) c", &input);
Reduce
We can reduce axes using operations like, sum
, min
, max
, mean
and prod
,
if the same operations has to be performed on multiple continuous axes we can do sum(a b c)
// (10, 28, 28, 3) becomes (28, 28, 3)
let output = einops!("mean(b) h w c -> h w c", &input);
Decomposition + Reduce + Transpose + Composition
Single expression for combining all functionalities discussed
// (10, 28, 28, 3) becomes (14, 140, 3)
let output = einops!("b (h max(h2:2)) (w max(w2:2)) c -> h (b w) c", &input);
Repeat
We can repeat axes by specify it on the right side of ->
, it can named, or it can simply be a number
// (28, 28, 3) becomes (28, 5, 28, 3)
let output = einops!("h w c -> h repeat:5 w c", &input);
Repeating axis's shape can be from a variables or a field (struct, enum)
let repeat = 5;
let output = einops!("h w c -> h {repeat} w c", &input);
Squeeze
Squeeze axes of shape 1
// (1, 28, 28, 3) becomes (28, 28, 3)
let output = einops!("1 h w c -> h w c")
Dependencies
~1.3–4MB
~77K SLoC