Tensorflow version of layer running almost 10x slower

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partial-differential-equations

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  • neuraloperator

    Learning in infinite dimension with neural operators.

    • 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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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