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aliran tensor:: operasi:: Pastikan Bentuk
#include <array_ops.h>
Memastikan bentuk tensor sesuai dengan bentuk yang diharapkan.
Ringkasan
Menimbulkan error jika bentuk tensor masukan tidak sesuai dengan bentuk yang ditentukan. Mengembalikan tensor masukan sebaliknya.
Argumen:
- ruang lingkup: Objek Lingkup
- input: Tensor, yang bentuknya akan divalidasi.
- bentuk: Bentuk tensor masukan yang diharapkan (mungkin ditentukan sebagian).
Pengembalian:
-
Output
: Tensor yang bentuk dan isinya sama dengan tensor atau nilai masukan.
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::EnsureShape Class Reference\n\ntensorflow::ops::EnsureShape\n============================\n\n`#include \u003carray_ops.h\u003e`\n\nEnsures that the tensor's shape matches the expected shape.\n\nSummary\n-------\n\nRaises an error if the input tensor's shape does not match the specified shape. Returns the input tensor otherwise.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: A tensor, whose shape is to be validated.\n- shape: The expected (possibly partially specified) shape of the input tensor.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor with the same shape and contents as the input tensor or value.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [EnsureShape](#classtensorflow_1_1ops_1_1_ensure_shape_1a5eccae9b4752e5ce978003d1413e5c06)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, PartialTensorShape shape)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_ensure_shape_1abc933208d9ec4b02b93fd9fbf992457b) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_ensure_shape_1a3de25be53998f6b3c1fe4f88c0b7f90a) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_ensure_shape_1affd7b08d440e2fcd688949c62b747b6d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_ensure_shape_1afd5278e7b8083f310fa151d3e6ca6569)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_ensure_shape_1a9ced601bdda49a6b52e0695a81bdee19)`() 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### EnsureShape\n\n```gdscript\n EnsureShape(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n PartialTensorShape shape\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```"]]