tensorflow:: TensorBuffer
זהו שיעור מופשט.#include <tensor.h>תַקצִיר
ממשק לגישה למאגר הנתונים הגולמי שנספר מחדש.
יְרוּשָׁה
יורש מ: RefCountedבנאים והורסים | |
|---|---|
TensorBuffer (void *data_ptr) | |
~TensorBuffer () |
תפקידים ציבוריים | |
|---|---|
FillAllocationDescription (AllocationDescription *proto) const =0 | virtual void ממלא מטא נתונים לגבי ההקצאה לתוך הפרוטו. |
GetAllocatedBytes (size_t *out_bytes) const | virtual bool |
OwnsMemory () const | virtual bool האם TensorBuffer זה הוא הבעלים של הזיכרון הבסיסי. |
base () const | T * שיטת עוזר לפרש מחדש את המאגר כמערך של T |
data () const | void * |
root_buffer ()=0 | virtual TensorBuffer * |
size () const =0 | virtual size_t גודל (בבתים) של המאגר. |
תפקידים ציבוריים
FillAllocationDescription
virtual void FillAllocationDescription( AllocationDescription *proto ) const =0
ממלא מטא נתונים לגבי ההקצאה לתוך הפרוטו.
GetAllocatedBytes
virtual bool GetAllocatedBytes( size_t *out_bytes ) const
TensorBuffer
TensorBuffer( void *data_ptr )
בָּסִיס
T * base() const
שיטת עוזר לפרש מחדש את המאגר כמערך של T
נְתוּנִים
void * data() const
root_buffer
virtual TensorBuffer * root_buffer()=0
אם TensorBuffer זה הוא מאגר משנה של TensorBuffer אחר, מחזיר את TensorBuffer זה.
אחרת, מחזיר את זה.
גוֹדֶל
virtual size_t size() const =0
גודל (בבתים) של המאגר.
~TensorBuffer
~TensorBuffer() override
אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0. לפרטים, ניתן לעיין במדיניות האתר Google Developers. Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה.
עדכון אחרון: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון 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/r2.1/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/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r2.1/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/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer)` *` If this [TensorBuffer](/versions/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r2.1/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/r2.1/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/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a36b022bd5ed41ce31242d6f3bbe6757b) bytes.\n\nNOTE(mrry): The [data()](/versions/r2.1/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/r2.1/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/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r2.1/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r2.1/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```"]]