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tensorflow::
ops::
AvgPool
#include <nn_ops.h>
Performs average pooling on the input.
Summary
Each entry in
output
is the mean of the corresponding size
ksize
window in
value
.
Args:
-
scope: A
Scope
object
-
value: 4-D with shape
[batch, height, width, channels]
.
-
ksize: The size of the sliding window for each dimension of
value
.
-
strides: The stride of the sliding window for each dimension of
value
.
-
padding: The type of padding algorithm to use.
Optional attributes (see
Attrs
):
-
data_format: Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
Returns:
-
Output
: The average pooled output tensor.
Public static functions
|
DataFormat
(StringPiece x)
|
|
Public attributes
Public functions
AvgPool
AvgPool(
const ::tensorflow::Scope & scope,
::tensorflow::Input value,
const gtl::ArraySlice< int > & ksize,
const gtl::ArraySlice< int > & strides,
StringPiece padding
)
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Attrs DataFormat(
StringPiece x
)
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::AvgPool Class Reference\n\ntensorflow::\nops::\nAvgPool\n==========================\n\n`\n#include \u003cnn_ops.h\u003e\n`\n\n\nPerforms average pooling on the input.\n\nSummary\n-------\n\n\nEach entry in\n`\noutput\n`\nis the mean of the corresponding size\n`\nksize\n`\nwindow in\n`\nvalue\n`\n.\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- value: 4-D with shape `\n [batch, height, width, channels]\n ` .\n- ksize: The size of the sliding window for each dimension of `\n value\n ` .\n- strides: The stride of the sliding window for each dimension of `\n value\n ` .\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/avg-pool/attrs#structtensorflow_1_1ops_1_1_avg_pool_1_1_attrs)`\n`\n):\n\n- data_format: Specify the data format of the input and output data. With the default format \"NHWC\", the data is stored in the order of: \\[batch, in_height, in_width, in_channels\\]. Alternatively, the format could be \"NCHW\", the data storage order of: \\[batch, in_channels, in_height, in_width\\].\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 average pooled output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[AvgPool](#classtensorflow_1_1ops_1_1_avg_pool_1a58bd5cc7bc50a385d9b5407b567887f3)` (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)` value, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding) ` ||\n| ` `[AvgPool](#classtensorflow_1_1ops_1_1_avg_pool_1a0f24ed27c87f4865fcaa1b312d36051e)` (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)` value, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[AvgPool::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/avg-pool/attrs#structtensorflow_1_1ops_1_1_avg_pool_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_avg_pool_1a9ba893843bb88eb584fe939ccc894c47)` ` | ` `[Operation](/versions/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_avg_pool_1a7450e2619257f7964d4f2cd80fe4ef06)` ` | ` :: `[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_avg_pool_1a8ec01e53d8d2acab543c9012e451de71)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_avg_pool_1a4e2e1ea74f43b355dca513d2bfe8d0a0)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_avg_pool_1ad407c5a3d99897fdc14d133bac7172d0)` () const ` | ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| ` `[DataFormat](#classtensorflow_1_1ops_1_1_avg_pool_1a4295525a4e3759a16de6a93c7f421b8d)` (StringPiece x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/avg-pool/attrs#structtensorflow_1_1ops_1_1_avg_pool_1_1_attrs)` ` |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: AvgPool:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/avg-pool/attrs) | Optional attribute setters for [AvgPool](/versions/r2.6/api_docs/cc/class/tensorflow/ops/avg-pool#classtensorflow_1_1ops_1_1_avg_pool) . |\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### AvgPool\n\n```gdscript\n AvgPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input value,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### AvgPool\n\n```gdscript\n AvgPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input value,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const AvgPool::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### DataFormat\n\n```text\nAttrs DataFormat(\n StringPiece x\n)\n```"]]
