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flux tensoriel : : TensorBuffer
Il s'agit d'une classe abstraite. #include <tensor.h> Résumé
Interface pour accéder au tampon de données brutes comptées par référence.
Héritage
Hérite de : RefCounted
Fonctions publiques |
|---|
FillAllocationDescription (AllocationDescription *proto) const =0 | virtual void Remplit les métadonnées sur l'allocation dans le proto. |
GetAllocatedBytes (size_t *out_bytes) const | virtual bool |
OwnsMemory () const | virtual bool |
base () const | T * Méthode d'assistance pour réinterpréter le tampon comme un tableau de T . |
data () const | void * |
root_buffer ()=0 | |
size () const =0 | virtual size_t Taille (en octets) du tampon. |
Fonctions publiques
FillAllocationDescription
virtual void FillAllocationDescription(
AllocationDescription *proto
) const =0
Remplit les métadonnées sur l'allocation dans le proto.
GetAllocatedBytes
virtual bool GetAllocatedBytes(
size_t *out_bytes
) const
PossèdeMémoire
virtual bool OwnsMemory() const
TensorBuffer
TensorBuffer(
void *data_ptr
)
base
T * base() const
Méthode d'assistance pour réinterpréter le tampon comme un tableau de T .
données
void * data() const
data() pointe vers une région mémoire de size() octets.
REMARQUE (mrry) : La méthode data() n'est pas virtuelle pour des raisons de performances. Il peut être appelé plusieurs fois lors de l'accès au contenu d'un Tensor , et ainsi le rendre non virtuel permet au corps d'être intégré.
taille
virtual size_t size() const =0
Taille (en octets) du tampon.
~TensorBuffer
~TensorBuffer() override
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[],[],null,["# tensorflow::TensorBuffer Class Reference\n\ntensorflow::TensorBuffer\n========================\n\n**This is an abstract class.** \n\n`#include \u003ctensor.h\u003e`\n\nSummary\n-------\n\nInterface to access the raw ref-counted data buffer.\n\n### Inheritance\n\nInherits from: RefCounted\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorBuffer](#classtensorflow_1_1_tensor_buffer_1ade0441d867aabc7d8c4f4a553d1e5fd3)`(void *data_ptr)` ||\n| [~TensorBuffer](#classtensorflow_1_1_tensor_buffer_1a18b48c272459852177bbc653354b5b9a)`()` ||\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [FillAllocationDescription](#classtensorflow_1_1_tensor_buffer_1ab705a2c85f480e615dad7e7456fc121a)`(AllocationDescription *proto) const =0` | `virtual void` Fills metadata about the allocation into the proto. |\n| [GetAllocatedBytes](#classtensorflow_1_1_tensor_buffer_1a4a9ed5ee51dc0ab5c1326fba4fb41e41)`(size_t *out_bytes) const ` | `virtual bool` |\n| [OwnsMemory](#classtensorflow_1_1_tensor_buffer_1a3c7bd551682ef698b66f432c32a3419f)`() const ` | `virtual bool` Whether this [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) owns the underlying memory. |\n| [base](#classtensorflow_1_1_tensor_buffer_1a13f72af307351613523799b8b3944ed5)`() const ` | `T *` Helper method to reinterpret the buffer as an array of `T`. |\n| [data](#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e)`() const ` | `void *` [data()](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a36b022bd5ed41ce31242d6f3bbe6757b) bytes. |\n| [root_buffer](#classtensorflow_1_1_tensor_buffer_1a0b406028a1e487cca2eacca453381fc3)`()=0` | `virtual `[TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer)` *` If this [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer). |\n| [size](#classtensorflow_1_1_tensor_buffer_1a36b022bd5ed41ce31242d6f3bbe6757b)`() const =0` | `virtual size_t` Size (in bytes) of the buffer. |\n\nPublic functions\n----------------\n\n### FillAllocationDescription\n\n```gdscript\nvirtual void FillAllocationDescription(\n AllocationDescription *proto\n) const =0\n``` \nFills metadata about the allocation into the proto. \n\n### GetAllocatedBytes\n\n```gdscript\nvirtual bool GetAllocatedBytes(\n size_t *out_bytes\n) const \n``` \n\n### OwnsMemory\n\n```gdscript\nvirtual bool OwnsMemory() const \n``` \nWhether this [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) owns the underlying memory. \n\n### TensorBuffer\n\n```scdoc\n TensorBuffer(\n void *data_ptr\n)\n``` \n\n### base\n\n```gdscript\nT * base() const \n``` \nHelper method to reinterpret the buffer as an array of `T`. \n\n### data\n\n```gdscript\nvoid * data() const \n``` \n[data()](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a36b022bd5ed41ce31242d6f3bbe6757b) bytes.\n\nNOTE(mrry): The [data()](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) method is not virtual for performance reasons. It can be called multiple times when the contents of a [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) are accessed, and so making it non-virtual allows the body to be inlined. \n\n### root_buffer\n\n```scdoc\nvirtual TensorBuffer * root_buffer()=0\n``` \nIf this [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r2.3/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer).\n\nOtherwise, returns this. \n\n### size\n\n```gdscript\nvirtual size_t size() const =0\n``` \nSize (in bytes) of the buffer. \n\n### \\~TensorBuffer\n\n```text\n ~TensorBuffer() override\n```"]]
