Tensor shape checks inspired by einstein notation
Project description
eincheck
Tensor shape checks inspired by einstein notation
Overview
This library has three main functions:
check_shapes
takes tuples of(Tensor, shape)
and checks that all the Tensors match the shapes
check_shapes((x, "i 3"), (y, "i 3"))
check_func
is a function decorator to check the input and output shapes of a function
@check_func("*i x, *i y -> *i (x + y)")
def concat(a, b):
return np.concatenate([a, b], -1)
check_data
is a class decorator to check the fields of a data class
@check_data(start="i 2", end="i 2")
class LineSegment2D(NamedTuple):
start: torch.Tensor
end: torch.Tensor
For more info, read the docs!
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
eincheck-0.3.0.tar.gz
(46.2 kB
view hashes)
Built Distribution
eincheck-0.3.0-py3-none-any.whl
(17.6 kB
view hashes)