tf.raw_ops.For
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<section class="expandable">
<h4 class="showalways">View aliases</h4>
<p>
<b>Compat aliases for migration</b>
<p>See
<a href="https://www.tensorflow.org/guide/migrate">Migration guide</a> for
more details.</p>
<p>`tf.compat.v1.raw_ops.For`</p>
</p>
</section>
<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link">
<code>tf.raw_ops.For(
start, limit, delta, input, body, name=None
)
</code></pre>
<!-- Placeholder for "Used in" -->
output = input;
for i in range(start, limit, delta)
output = body(i, output);
Args |
|---|
start
|
A Tensor of type int32. The lower bound. An int32
|
limit
|
A Tensor of type int32. The upper bound. An int32
|
delta
|
A Tensor of type int32. The increment. An int32
|
input
|
A list of Tensor objects.
A list of input tensors whose types are T.
|
body
|
A function decorated with @Defun.
A function that takes a list of tensors (int32, T) and returns another
list of tensors (T).
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A list of Tensor objects. Has the same type as input.
|
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Last updated 2021-08-16 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-08-16 UTC."],[],[],null,["# tf.raw_ops.For\n\n\u003cbr /\u003e\n\n\n \u003csection class=\"expandable\"\u003e\n \u003ch4 class=\"showalways\"\u003eView aliases\u003c/h4\u003e\n \u003cp\u003e\n \u003cb\u003eCompat aliases for migration\u003c/b\u003e\n \u003cp\u003eSee\n \u003ca href=\"https://www.tensorflow.org/guide/migrate\"\u003eMigration guide\u003c/a\u003e for\n more details.\u003c/p\u003e\n \u003cp\u003e`tf.compat.v1.raw_ops.For`\u003c/p\u003e\n \u003c/p\u003e\n \u003c/section\u003e\n\n \u003cpre class=\"devsite-click-to-copy prettyprint lang-py tfo-signature-link\"\u003e\n \u003ccode\u003etf.raw_ops.For(\n start, limit, delta, input, body, name=None\n )\n \u003c/code\u003e\u003c/pre\u003e\n\n\n\n \u003c!-- Placeholder for \"Used in\" --\u003e\n output = input;\n for i in range(start, limit, delta)\n output = body(i, output);\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|-------------------------------------------------------------------------------------------------------------------------------|\n| `start` | A `Tensor` of type `int32`. The lower bound. An int32 |\n| `limit` | A `Tensor` of type `int32`. The upper bound. An int32 |\n| `delta` | A `Tensor` of type `int32`. The increment. An int32 |\n| `input` | A list of `Tensor` objects. A list of input tensors whose types are T. |\n| `body` | A function decorated with @Defun. A function that takes a list of tensors (int32, T) and returns another list of tensors (T). |\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 list of `Tensor` objects. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]
