neuraloperator
nvidia-modulus-airfoil-optimisation
| neuraloperator | nvidia-modulus-airfoil-optimisation | |
|---|---|---|
| 2 | 3 | |
| 1,809 | 21 | |
| 5.1% | - | |
| 9.4 | 1.4 | |
| 6 days ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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neuraloperator
- Learn in Infinite Dimensions
-
Tensorflow version of layer running almost 10x slower
I've been trying to port the method used in this this paper, starting with the 2D version in this file from their github. I succeeded in replicating the results, verifying I get the same results and gradients. However, the resulting layer takes about 10x the time to run with Tensorflow (v2.4) compared to Pytorch (self compiled from git) on a V100. Here's my implementation of the layer using Tensorflow.
nvidia-modulus-airfoil-optimisation
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