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tensorflow::
ops::
Prod
#include <math_ops.h>
Computes the product of elements across dimensions of a tensor.
Summary
Reduces
input
along the dimensions given in
axis
. Unless
keep_dims
is true, the rank of the tensor is reduced by 1 for each entry in
axis
. If
keep_dims
is true, the reduced dimensions are retained with length 1.
Args:
-
scope: A
Scope
object
-
input: The tensor to reduce.
-
axis: The dimensions to reduce. Must be in the range
[-rank(input), rank(input))
.
Optional attributes (see
Attrs
):
-
keep_dims: If true, retain reduced dimensions with length 1.
Returns:
Aliases:
Public static functions
|
KeepDims
(bool x)
|
|
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
KeepDims
Attrs KeepDims(
bool x
)
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Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::Prod Class Reference\n\ntensorflow::\nops::\nProd\n=======================\n\n`\n#include \u003cmath_ops.h\u003e\n`\n\n\nComputes the product of elements across dimensions of a tensor.\n\nSummary\n-------\n\n\nReduces\n`\ninput\n`\nalong the dimensions given in\n`\naxis\n`\n. Unless\n`\nkeep_dims\n`\nis true, the rank of the tensor is reduced by 1 for each entry in\n`\naxis\n`\n. If\n`\nkeep_dims\n`\nis true, the reduced dimensions are retained with length 1.\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: The tensor to reduce.\n- axis: The dimensions to reduce. Must be in the range `\n [-rank(input), rank(input))\n ` .\n\n\u003cbr /\u003e\n\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/prod/attrs#structtensorflow_1_1ops_1_1_prod_1_1_attrs)`\n`\n):\n\n- keep_dims: If true, retain reduced dimensions with length 1.\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : The reduced tensor.\n\n\u003cbr /\u003e\n\n\nAliases:\n\n- ReduceProd\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[Prod](#classtensorflow_1_1ops_1_1_prod_1a29b256476990c7cae35fac4f60058d74)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis) ` ||\n| ` `[Prod](#classtensorflow_1_1ops_1_1_prod_1acef934b4655671a548f08b61cc12ff40)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[Prod::Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/prod/attrs#structtensorflow_1_1ops_1_1_prod_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_prod_1ac0d39f84b4d4203b6b9298471f79fcb0)` ` | ` `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_prod_1a637cd7559f207583c5833a4b2e4fbdd5)` ` | ` :: `[tensorflow::Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------|--------------------------|\n| ` `[node](#classtensorflow_1_1ops_1_1_prod_1a5d7164d3fe0e3836e18d424e98dc1b27)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_prod_1a88ec74f3d3ad9bdf6c9adacb5666063b)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_prod_1acf8469d69e8eb65e2a1a248f16a30015)` () const ` | ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| ` `[KeepDims](#classtensorflow_1_1ops_1_1_prod_1a4e345cf4be9273e418f3b64ca5a52a7a)` (bool x) ` | ` `[Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/prod/attrs#structtensorflow_1_1ops_1_1_prod_1_1_attrs)` ` |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: Prod:: Attrs](/versions/r2.5/api_docs/cc/struct/tensorflow/ops/prod/attrs) | Optional attribute setters for [Prod](/versions/r2.5/api_docs/cc/class/tensorflow/ops/prod#classtensorflow_1_1ops_1_1_prod) . |\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### Prod\n\n```gdscript\n Prod(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis\n)\n``` \n\n### Prod\n\n```gdscript\n Prod(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis,\n const Prod::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### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n```"]]
