tf.raw_ops.FixedLengthRecordDataset
Stay organized with collections Save and categorize content based on your preferences.
Creates a dataset that emits the records from one or more binary files.
tf.raw_ops.FixedLengthRecordDataset(
filenames,
header_bytes,
record_bytes,
footer_bytes,
buffer_size,
metadata='',
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 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]