Module: tf.compat.v1.tpu.experimental.embedding

Public API for tf.tpu.experimental.embedding namespace.

Classes

class Adagrad: Optimization parameters for Adagrad with TPU embeddings.

class Adam: Optimization parameters for Adam with TPU embeddings.

class FeatureConfig: Configuration data for one embedding feature.

class SGD: Optimization parameters for stochastic gradient descent for TPU embeddings.

class TPUEmbedding: The TPUEmbedding mid level API.

class TableConfig: Configuration data for one embedding table.

Functions

serving_embedding_lookup(...): Apply standard lookup ops with tf.tpu.experimental.embedding configs.

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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/tpu/experimental/embedding