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tensorflow::TensorBuffer
This is an abstract class.#include <tensor.h>
Summary
Interface to access the raw ref-counted data buffer.
Inheritance
Inherits from: RefCounted
Public functions
|
FillAllocationDescription(AllocationDescription *proto) const =0
|
virtual void
Fills metadata about the allocation into the proto.
|
OwnsMemory() const
|
virtual bool
|
base() const
|
T *
Helper method to reinterpret the buffer as an array of T .
|
data() const
|
void *
|
root_buffer()=0
|
|
size() const =0
|
virtual size_t
Size (in bytes) of the buffer.
|
Public functions
FillAllocationDescription
virtual void FillAllocationDescription(
AllocationDescription *proto
) const =0
Fills metadata about the allocation into the proto.
OwnsMemory
virtual bool OwnsMemory() const
TensorBuffer
TensorBuffer(
void *data_ptr
)
base
T * base() const
Helper method to reinterpret the buffer as an array of T
.
data
void * data() const
data() points to a memory region of size() bytes.
NOTE(mrry): The data()
method is not virtual for performance reasons. It can be called multiple times when the contents of a Tensor
are accessed, and so making it non-virtual allows the body to be inlined.
size
virtual size_t size() const =0
Size (in bytes) of the buffer.
~TensorBuffer
~TensorBuffer() override
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Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 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| [OwnsMemory](#classtensorflow_1_1_tensor_buffer_1a3c7bd551682ef698b66f432c32a3419f)`() const ` | `virtual bool` Whether this [TensorBuffer](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer)` *` If this [TensorBuffer](/versions/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r1.15/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### OwnsMemory\n\n```gdscript\nvirtual bool OwnsMemory() const \n``` \nWhether this [TensorBuffer](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a7e8cdbb48073e1a8890427acad00a30e) points to a memory region of [size()](/versions/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer_1a36b022bd5ed41ce31242d6f3bbe6757b) bytes.\n\nNOTE(mrry): The [data()](/versions/r1.15/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/r1.15/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/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer) is sub-buffer of another [TensorBuffer](/versions/r1.15/api_docs/cc/class/tensorflow/tensor-buffer#classtensorflow_1_1_tensor_buffer), returns that [TensorBuffer](/versions/r1.15/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```"]]