Tucker Convolutional Layers
PyTorch implementation of Tucker Convolutional Layers as introduced in MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. Ross Wightman's timm library has been used for some helper functions and inspiration for syntax style.
Installation
$ pip install tucker-conv
Usage
from tucker_conv.conv import TuckerConv
import torch
tucker = TuckerConv(30, 30, in_comp_ratio = 0.25, out_comp_ratio = 0.75)
input = torch.randn([1, 30, 512, 512])
output = tucker(input)
1 maintainer
Metadata
1 maintainer
Release files for tucker-conv 1.0.1
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Release files / tucker_conv-1.0.1.tar.gz
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