tf.raw_ops.FixedLengthRecordDataset

Создаёт набор данных, который испускает записи из одного или нескольких двоичных файлов.

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Псевдонимы для миграции

См. Руководство по миграции для получения более подробной информации.

tf.compat.v1.raw_ops.FixedLengthRecordDataset

tf.raw_ops.FixedLengthRecordDataset(
    filenames,
    header_bytes,
    record_bytes,
    footer_bytes,
    buffer_size,
    metadata='',
    name=None
)

Аргументы
`filenames`	A `Tensor` of type `string`. A scalar or a vector containing the name(s) of the file(s) to be read.
`header_bytes`	A `Tensor` of type `int64`. A scalar representing the number of bytes to skip at the beginning of a file.
`record_bytes`	A `Tensor` of type `int64`. A scalar representing the number of bytes in each record.
`footer_bytes`	A `Tensor` of type `int64`. A scalar representing the number of bytes to skip at the end of a file.
`buffer_size`	A `Tensor` of type `int64`. A scalar representing the number of bytes to buffer. Must be > 0.
`metadata`	An optional `string`. Defaults to `""`.
`name`	A name for the operation (optional).

Возвращаемое значение
A `Tensor` of type `variant`.

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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/FixedLengthRecordDataset