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aliran tensor:: operasi:: Berarti
#include <math_ops.h>
Menghitung rata-rata elemen di seluruh dimensi tensor.
Ringkasan
Mengurangi input
sepanjang dimensi yang diberikan dalam axis
. Kecuali keep_dims
benar, peringkat tensor dikurangi 1 untuk setiap entri di axis
. Jika keep_dims
benar, dimensi yang dikurangi akan dipertahankan dengan panjang 1.
Argumen:
- ruang lingkup: Objek Lingkup
- input: Tensor yang akan dikurangi.
- sumbu: Dimensi yang akan dikurangi. Harus berada dalam rentang
[-rank(input), rank(input))
.
Atribut opsional (lihat Attrs
):
- keep_dims: Jika benar, pertahankan dimensi yang diperkecil dengan panjang 1.
Pengembalian:
Alias:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Pertahankan Redup
Attrs KeepDims(
bool x
)
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Mean Class Reference\n\ntensorflow::ops::Mean\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the mean of elements across dimensions of a tensor.\n\nSummary\n-------\n\nReduces `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.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/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 `[-rank(input), rank(input))`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_1_1_attrs)):\n\n- keep_dims: If true, retain reduced dimensions with length 1.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The reduced tensor.\n\n\u003cbr /\u003e\n\nAliases:\n\n- ReduceMean\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Mean](#classtensorflow_1_1ops_1_1_mean_1a197238a837bef771356ceef555eb3fc5)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [Mean](#classtensorflow_1_1ops_1_1_mean_1a4012ca456e79d366e748b30485e13896)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[Mean::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_mean_1a2d6d74ce2f11798a21c40e7802d15d30) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_mean_1a87264bbbee4da96f9ba784e0710505aa) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_mean_1af104f07bacdeb2d4919e1b53d3e9c06d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_mean_1a6de63011b12a38e192d945bc750aa38a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_mean_1a7bcb6958d02f23b2e94caeaa619be29c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_mean_1a9c8b878945fc885afb0f6a74e28efac6)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Mean::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs) | Optional attribute setters for [Mean](/versions/r1.15/api_docs/cc/class/tensorflow/ops/mean#classtensorflow_1_1ops_1_1_mean). |\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### Mean\n\n```gdscript\n Mean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis\n)\n``` \n\n### Mean\n\n```gdscript\n Mean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis,\n const Mean::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```"]]