tf.raw_ops.TextLineDataset
Stay organized with collections
Save and categorize content based on your preferences.
Creates a dataset that emits the lines of one or more text files.
tf.raw_ops.TextLineDataset(
filenames, compression_type, 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.
|
compression_type
|
A Tensor of type string .
A scalar containing either (i) the empty string (no
compression), (ii) "ZLIB", or (iii) "GZIP".
|
buffer_size
|
A Tensor of type int64 .
A scalar containing the number of bytes to buffer.
|
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.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.TextLineDataset\n\n\u003cbr /\u003e\n\nCreates a dataset that emits the lines of one or more text files.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.TextLineDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TextLineDataset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TextLineDataset(\n filenames, compression_type, buffer_size, metadata='', name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------------|------------------------------------------------------------------------------------------------------------------------------|\n| `filenames` | A `Tensor` of type `string`. A scalar or a vector containing the name(s) of the file(s) to be read. |\n| `compression_type` | A `Tensor` of type `string`. A scalar containing either (i) the empty string (no compression), (ii) \"ZLIB\", or (iii) \"GZIP\". |\n| `buffer_size` | A `Tensor` of type `int64`. A scalar containing the number of bytes to buffer. |\n| `metadata` | An optional `string`. Defaults to `\"\"`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `variant`. ||\n\n\u003cbr /\u003e"]]