tf.raw_ops.FixedLengthRecordDataset

Creates a dataset that emits the records from one or more binary files.

View aliases

Compat aliases for migration

tf.compat.v1.raw_ops.FixedLengthRecordDataset

tf.raw_ops.FixedLengthRecordDataset(
    filenames,
    header_bytes,
    record_bytes,
    footer_bytes,
    buffer_size,
    metadata=&#x27;',
    name=None
)

Args
`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).

Returns
A `Tensor` of type `variant`.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2023-10-06 UTC.

tf.raw_ops.FixedLengthRecordDataset

View aliases

Args

Returns