tf.raw_ops.DynamicEnqueueTPUEmbeddingRaggedTensorBatch

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Compat aliases for migration

tf.compat.v1.raw_ops.DynamicEnqueueTPUEmbeddingRaggedTensorBatch

tf.raw_ops.DynamicEnqueueTPUEmbeddingRaggedTensorBatch(
    sample_splits,
    embedding_indices,
    aggregation_weights,
    mode_override,
    device_ordinal,
    table_ids,
    combiners=[],
    max_sequence_lengths=[],
    num_features=[],
    name=None
)

Args
`sample_splits`	A list of at least 1 `Tensor` objects with the same type in: `int32`, `int64`.
`embedding_indices`	A list with the same length as `sample_splits` of `Tensor` objects with the same type in: `int32`, `int64`.
`aggregation_weights`	A list with the same length as `sample_splits` of `Tensor` objects with the same type in: `float32`, `float64`.
`mode_override`	A `Tensor` of type `string`.
`device_ordinal`	A `Tensor` of type `int32`.
`table_ids`	A list of `ints`.
`combiners`	An optional list of `strings`. Defaults to `[]`.
`max_sequence_lengths`	An optional list of `ints`. Defaults to `[]`.
`num_features`	An optional list of `ints`. Defaults to `[]`.
`name`	A name for the operation (optional).

Returns
The created Operation.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/raw_ops/DynamicEnqueueTPUEmbeddingRaggedTensorBatch