Class TPUEmbeddingActivations

java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.tpu.TPUEmbeddingActivations
All Implemented Interfaces:
Shaped, Op, Operand<TFloat32>

@Deprecated @Operator(group="tpu") public final class TPUEmbeddingActivations extends RawOp implements Operand<TFloat32>
Deprecated.
An op enabling differentiation of TPU Embeddings. This op simply returns its first input, which is assumed to have been sliced from the Tensors returned by TPUEmbeddingDequeueActivations. The presence of this op, and its first argument being a trainable Variable, enables automatic differentiation of graphs containing embeddings via the TPU Embedding Python libraries.
  • Field Details

    • OP_NAME

      public static final String OP_NAME
      Deprecated.
      The name of this op, as known by TensorFlow core engine
      See Also:
  • Constructor Details

    • TPUEmbeddingActivations

      public TPUEmbeddingActivations(Operation operation)
      Deprecated.
  • Method Details

    • create

      @Endpoint(describeByClass=true) public static TPUEmbeddingActivations create(Scope scope, Operand<TFloat32> embeddingVariable, Operand<TFloat32> slicedActivations, Long tableId, Long lookupId)
      Deprecated.
      Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
      Parameters:
      scope - current scope
      embeddingVariable - A trainable variable, enabling optimizers to find this op.
      slicedActivations - The embedding activations Tensor to return.
      tableId - The id of the table in the embedding layer configuration from which these activations were computed.
      lookupId - Identifier of the set of embedding indices which produced these activations.
      Returns:
      a new instance of TPUEmbeddingActivations
    • output

      public Output<TFloat32> output()
      Deprecated.
      Gets output.
      Returns:
      output.
    • asOutput

      public Output<TFloat32> asOutput()
      Deprecated.
      Description copied from interface: Operand
      Returns the symbolic handle of the tensor.

      Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

      Specified by:
      asOutput in interface Operand<TFloat32>
      See Also: