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@mihirparadkar mihirparadkar released this 20 Sep 18:15
v0.3.0
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Learn about vigilant mode.

What's Changed

  • An initial version of transformer-style multi-head attention. in #55
  • Add TPUStrategy support to the runner. in #51
  • Add a keys variant for transformer-style multi-head attention. in #56
  • Enable dataflow prime and add edge_aggregation_method choice to example. in #68
  • Fix typos in gnn_modelling.md by @dgoekmen in #70
  • In type spec deserialization, ensure class DType in #83
  • Integer mathematics (i.e., TPU-friendly) for adding self-loops on GraphTensors. in #75
  • Export symbol tfgnn.is_ragged_tensor(). in #87
  • Add per-class metrics for multi-class classification. in #81
  • Initial support for graph pieces shapes relaxation (nodes and edges). Helper function to easy dataset creation from scalar graph pieces generator. in #84
  • Adds tfgnn.keras.layers.AddSelfLoops in #86
  • Remove tfgnn.keras.layers.TotalSize in favor of .total_size and in #96
  • Improve the error message when num_classes and class_names are both None. in #99
  • Compute SizeConstraints for TPU padding before calling distribute_datasets_from_function. in #77
  • Builder pattern for SamplingSpec proto. in #104
  • Ensure that L2 regularization for GCN is correctly [de]serialized. in #105
  • Pin google-api-core version due to protobuf v4.21.0 tensorflow incompatibility. in #109

New Contributors

Full Changelog: v0.2.0.dev1...v0.3.0

Contributors

dgoekmen
Assets 2
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