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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Licensed under the Creative Commons Attribution License 3.0.
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