Arg<TensorOf<[TF_Int16, TF_Int32, TF_Int64]>, [{int16, int32 or int64, must be in the range `[-rank(input), rank(input))`.
Describes which dimension of the input Tensor to reduce across. For vectors,
use dimension = 0.}]>:$dimension
  );

  let results = (outs
    TensorOf<[TF_Int16, TF_Int32, TF_Int64, TF_Uint16]>:$output
  );

*   `tf.nn`

    *   `tf.nn.embedding_lookup_sparse` and `tf.nn.safe_embedding_lookup_sparse` now support ids and weights described by `tf.RaggedTensor`s.
    *   Added a new boolean argument `allow_fast_lookup` to `tf.nn.embedding_lookup_sparse` and `tf.nn.safe_embedding_lookup_sparse`, which enables a simplified and typically faster lookup procedure.

Class <org.gradle.model.internal.core.rule.describe.MethodModelRuleDescriptor$Cache> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (MethodModelRuleDescriptor.java:0)