TensorFlow Fold

TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the computation graph depends on the structure of the input data. It implements dynamic batching, transforming batches of arbitrarily shaped computation graphs into a static computation graph. TensorFlow Fold is not an official Google product.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/tensorflow/fold
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Features

Uses

  • creating TensorFlow models that consume structured data Source: github.com

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