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tensor akışı:: işlem:: DecodeRaw
#include <parsing_ops.h>
Bir dizenin baytlarını sayıların vektörü olarak yeniden yorumlayın.
Özet
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- bayt: Tüm öğelerin uzunluğu aynı olmalıdır.
İsteğe bağlı özellikler (bkz. Attrs
):
- little_endian: Giriş
bytes
küçük-endian düzeninde olup olmadığı. uint8
gibi tek bir baytta saklanan out_type
değerleri için yoksayılır.
İade:
-
Output
: Giriş bytes
bir fazla boyuta sahip bir Tensör . Eklenen boyut bytes
öğelerinin uzunluğunun out_type
temsil edecek bayt sayısına bölünmesine eşit bir boyuta sahip olacaktır.
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
KüçükEndian
Attrs LittleEndian(
bool x
)
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::DecodeRaw Class Reference\n\ntensorflow::ops::DecodeRaw\n==========================\n\n`#include \u003cparsing_ops.h\u003e`\n\nReinterpret the bytes of a string as a vector of numbers.\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- bytes: [All](/versions/r1.15/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) the elements must have the same length.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/decode-raw/attrs#structtensorflow_1_1ops_1_1_decode_raw_1_1_attrs)):\n\n- little_endian: Whether the input `bytes` are in little-endian order. Ignored for `out_type` values that are stored in a single byte like `uint8`.\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 one more dimension than the input `bytes`. The added dimension will have size equal to the length of the elements of `bytes` divided by the number of bytes to represent `out_type`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DecodeRaw](#classtensorflow_1_1ops_1_1_decode_raw_1a009ee569ceb10dfe18f4cbc635c6b0f8)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` bytes, DataType out_type)` ||\n| [DecodeRaw](#classtensorflow_1_1ops_1_1_decode_raw_1a2755ef7795b3379d5129b8a878bca31c)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` bytes, DataType out_type, const `[DecodeRaw::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/decode-raw/attrs#structtensorflow_1_1ops_1_1_decode_raw_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_decode_raw_1ab6e42efe2dca3f3d827475cf62437053) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_decode_raw_1a23cf767ae870fefb89c30052498a0df6) | `::`[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_decode_raw_1a7a6eccc4ac856a21aff11f122297916d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_decode_raw_1a0eefc98977cc8232c00bc060f54ee941)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_decode_raw_1a6d67d85b527ffa9d1d9598bc5388f3d2)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [LittleEndian](#classtensorflow_1_1ops_1_1_decode_raw_1a07817a63502629cb34ff94dadaaaceac)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/decode-raw/attrs#structtensorflow_1_1ops_1_1_decode_raw_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::DecodeRaw::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/decode-raw/attrs) | Optional attribute setters for [DecodeRaw](/versions/r1.15/api_docs/cc/class/tensorflow/ops/decode-raw#classtensorflow_1_1ops_1_1_decode_raw). |\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### DecodeRaw\n\n```gdscript\n DecodeRaw(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input bytes,\n DataType out_type\n)\n``` \n\n### DecodeRaw\n\n```gdscript\n DecodeRaw(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input bytes,\n DataType out_type,\n const DecodeRaw::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### LittleEndian\n\n```text\nAttrs LittleEndian(\n bool x\n)\n```"]]