peteflorence

Here's a simple implementation of bilinear interpolation on tensors using PyTorch.

I wrote this up since I ended up learning a lot about options for interpolation in both the numpy and PyTorch ecosystems. More generally than just interpolation, too, it's also a nice case study in how PyTorch magically can put very numpy-like code on the GPU (and by the way, do autodiff for you too).

For interpolation in PyTorch, this open issue calls for more interpolation features. There is now a nn.functional.grid_sample() feature but at least at first this didn't look like what I needed (but we'll come back to this later).

In particular I wanted to take an image, W x H x C, and sample it many times at different random locations. Note also that this is different than upsampling which exhaustively samples and also doesn't give us fle

sigrlami

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mshuler

#!/bin/sh
# OpenStack bzr to github mirror
#
# Requirements:
#   git >= 1.7.0, bzr >= 2.0.0,
#   git-bzr-ng, python-fastimport, patched bzr-fastimport

#####
# Set up unpackaged source:
#   mkdir ~/src