Fancy Einsum
This is a simple wrapper around np.einsum and torch.einsum that allows the use of self-documenting variable names instead of just single letters in the equations. Inspired by the syntax in einops.
For example, instead of writing:
import torch
torch.einsum('bct,bcs->bcts', a, b)
or
import numpy as np
np.einsum('bct,bcs->bcts', a, b)
With this library you can write:
from fancy_einsum import einsum
einsum('batch channels time1, batch channels time2 -> batch channels time1 time2', a, b)
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Release files for fancy-einsum 0.0.3
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Source distribution (sdist)
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| fancy_einsum-0.0.3.tar.gz | 4.9 kB | Details |
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|---|---|---|---|---|
| fancy_einsum-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 kB
Release files / fancy_einsum-0.0.3.tar.gz
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Release files / fancy_einsum-0.0.3-py3-none-any.whl
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