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PyTorch Wizard

£20-250 GBP

Closed
Posted almost 4 years ago

£20-250 GBP

Paid on delivery
I need to optimise a PyTorch convolution operation described here [login to view URL] (EquiConv) and implemented in PyTorch here [login to view URL] The goal is to understand this code and suggest routes to optimise it, maybe by pre-compute as much as possible (using LUT ?) or finding a way to implement it differently / faster. Here is an idea using meshgrid [login to view URL] Another approach could be to look into Deformable Convolutions v2 instead of v1 (see [login to view URL]) A good way to test your speed improvements is to train EfficientNet modified to support EquiConv [login to view URL] with a few dummy images and compare time taken to both train and run inferences Standard Conv2D CPU Standard Conv2D GPU EquiConv CPU EquiConv GPU
Project ID: 24744153

About the project

1 proposal
Remote project
Active 4 yrs ago

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