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tensorflow::
ops::
Pad
#include <array_ops.h>
Pads a tensor with zeros.
Summary
This operation pads a
input
with zeros according to the
paddings
you specify.
paddings
is an integer tensor with shape
[Dn, 2]
, where n is the rank of
input
. For each dimension D of
input
,
paddings[D, 0]
indicates how many zeros to add before the contents of
input
in that dimension, and
paddings[D, 1]
indicates how many zeros to add after the contents of
input
in that dimension.
The padded size of each dimension D of the output is:
paddings(D, 0) + input.dim_size(D) + paddings(D, 1)
For example:
# 't' is [[1, 1], [2, 2]]
# 'paddings' is [[1, 1], [2, 2]]
# rank of 't' is 2
pad(t, paddings) ==> [[0, 0, 0, 0, 0, 0]
[0, 0, 1, 1, 0, 0]
[0, 0, 2, 2, 0, 0]
[0, 0, 0, 0, 0, 0]]
Args:
Returns:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::Pad Class Reference\n\ntensorflow::\nops::\nPad\n======================\n\n`\n#include \u003carray_ops.h\u003e\n`\n\n\nPads a tensor with zeros.\n\nSummary\n-------\n\n\nThis operation pads a\n`\ninput\n`\nwith zeros according to the\n`\npaddings\n`\nyou specify.\n`\npaddings\n`\nis an integer tensor with shape\n`\n[Dn, 2]\n`\n, where n is the rank of\n`\ninput\n`\n. For each dimension D of\n`\ninput\n`\n,\n`\npaddings[D, 0]\n`\nindicates how many zeros to add before the contents of\n`\ninput\n`\nin that dimension, and\n`\npaddings[D, 1]\n`\nindicates how many zeros to add after the contents of\n`\ninput\n`\nin that dimension.\n\n\nThe padded size of each dimension D of the output is:\n\n\n`\npaddings(D, 0) + input.dim_size(D) + paddings(D, 1)\n`\n\n\nFor example:\n\n\n```text\n# 't' is [[1, 1], [2, 2]]\n# 'paddings' is [[1, 1], [2, 2]]\n# rank of 't' is 2\npad(t, paddings) ==\u003e [[0, 0, 0, 0, 0, 0]\n [0, 0, 1, 1, 0, 0]\n [0, 0, 2, 2, 0, 0]\n [0, 0, 0, 0, 0, 0]]\n```\n\n\u003cbr /\u003e\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[Pad](#classtensorflow_1_1ops_1_1_pad_1a85413c81814471dc1ba383fffd013f80)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` paddings) ` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_pad_1a563b99bce289e4fa9fff7224401df773)` ` | ` `[Operation](/versions/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_pad_1aa9ec34eb45ae5c727d6bba3e8b51be74)` ` | ` :: `[tensorflow::Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|--------------------------|\n| ` `[node](#classtensorflow_1_1ops_1_1_pad_1a56e85f7a36d0008faa2e054812438b98)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_pad_1a800a33c0560ed61b5f202d6a5aaf4ca9)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_pad_1a177bc15a4ed8369a6438d47130f9ac27)` () const ` | ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### Pad\n\n```gdscript\n Pad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input paddings\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
