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aliran tensor:: operasi:: pertemuan
#include <array_ops.h> Menggabungkan tensor sepanjang satu dimensi.
Ringkasan
Argumen:
- ruang lingkup: Objek Lingkup
- nilai: Daftar
N Tensor yang akan digabungkan. Pangkat dan tipenya harus cocok, dan ukurannya harus cocok di semua dimensi kecuali concat_dim . - sumbu: 0-D. Dimensi yang akan digabungkan. Harus berada dalam rentang [-peringkat(nilai), peringkat(nilai)).
Pengembalian:
-
Output : Tensor dengan rangkaian nilai yang ditumpuk di sepanjang dimensi concat_dim . Bentuk tensor ini cocok dengan values kecuali di concat_dim yang memiliki jumlah ukurannya.
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Concat Class Reference\n\ntensorflow::ops::Concat\n=======================\n\n`#include \u003carray_ops.h\u003e`\n\nConcatenates tensors along one dimension.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- values: List of `N` Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except `concat_dim`.\n- axis: 0-D. The dimension along which to concatenate. Must be in the range \\[-rank(values), rank(values)).\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with the concatenation of values stacked along the `concat_dim` dimension. This tensor's shape matches that of `values` except in `concat_dim` where it has the sum of the sizes.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Concat](#classtensorflow_1_1ops_1_1_concat_1aaa84b56305f5680546c7e6d798ae937e)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::InputList](/versions/r1.15/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` values, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_concat_1ae9307593f77cf5273d28e47cd31d2f83) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_concat_1ac015eeead9d68cfc3c5b71b3c8223df4) | `::`[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_concat_1a72378c0bf5ed076831238d92d7fbfb02)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_concat_1afd6351cffb163f71f2cf8742b0531045)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_concat_1a59af68501204ea494fb84bec67889b2d)`() 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### Concat\n\n```gdscript\n Concat(\n const ::tensorflow::Scope & scope,\n ::tensorflow::InputList values,\n ::tensorflow::Input axis\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```"]]
