Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
aliran tensor:: operasi:: FusedBatchNormV2:: Attr
#include <nn_ops.h> Penyetel atribut opsional untuk FusedBatchNormV2 .
Ringkasan
Fungsi publik |
|---|
DataFormat (StringPiece x) | Format data untuk x dan y. |
Epsilon (float x) | Sejumlah kecil bilangan mengambang ditambahkan ke varians x. |
IsTraining (bool x) | Nilai bool untuk menunjukkan operasi adalah untuk pelatihan (default) atau inferensi. |
Atribut publik
StringPiece tensorflow::ops::FusedBatchNormV2::Attrs::data_format_ = "NHWC"
epsilon_
float tensorflow::ops::FusedBatchNormV2::Attrs::epsilon_ = 0.0001f
adalah_pelatihan_
bool tensorflow::ops::FusedBatchNormV2::Attrs::is_training_ = true
Fungsi publik
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::DataFormat(
StringPiece x
)
Format data untuk x dan y.
Entah "NHWC" (default) atau "NCHW".
Defaultnya adalah "NHWC"
epsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::Epsilon(
float x
)
Sejumlah kecil bilangan mengambang ditambahkan ke varians x.
Defaultnya adalah 0,0001
Adalah Pelatihan
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::IsTraining(
bool x
)
Nilai bool untuk menunjukkan operasi adalah untuk pelatihan (default) atau inferensi.
Defaultnya adalah benar
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 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::FusedBatchNormV2::Attrs Struct Reference\n\ntensorflow::ops::FusedBatchNormV2::Attrs\n========================================\n\n`#include \u003cnn_ops.h\u003e`\n\nOptional attribute setters for [FusedBatchNormV2](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fused-batch-norm-v2#classtensorflow_1_1ops_1_1_fused_batch_norm_v2).\n\nSummary\n-------\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------------------|---------------|\n| [data_format_](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1ae5819731a751be04b0d103a9ba0032b5)` = \"NHWC\"` | `StringPiece` |\n| [epsilon_](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1a3b16ca123558ac26d6fe079087cb96f9)` = 0.0001f` | `float` |\n| [is_training_](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1a7c4d1ee913811cd407d4049e8a04cceb)` = true` | `bool` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1a0c88b725054b7da0213cce726e13da2f)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs) The data format for x and y. |\n| [Epsilon](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1a2d79b23355a4307f2fa68d49ed92c35f)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs) A small float number added to the variance of x. |\n| [IsTraining](#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs_1ad8e622c44d93e0282b77d38d8356e4a4)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v2/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v2_1_1_attrs) A bool value to indicate the operation is for training (default) or inference. |\n\nPublic attributes\n-----------------\n\n### data_format_\n\n```scdoc\nStringPiece tensorflow::ops::FusedBatchNormV2::Attrs::data_format_ = \"NHWC\"\n``` \n\n### epsilon_\n\n```scdoc\nfloat tensorflow::ops::FusedBatchNormV2::Attrs::epsilon_ = 0.0001f\n``` \n\n### is_training_\n\n```scdoc\nbool tensorflow::ops::FusedBatchNormV2::Attrs::is_training_ = true\n``` \n\nPublic functions\n----------------\n\n### DataFormat\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::DataFormat(\n StringPiece x\n)\n``` \nThe data format for x and y.\n\nEither \"NHWC\" (default) or \"NCHW\".\n\nDefaults to \"NHWC\" \n\n### Epsilon\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::Epsilon(\n float x\n)\n``` \nA small float number added to the variance of x.\n\nDefaults to 0.0001 \n\n### IsTraining\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV2::Attrs::IsTraining(\n bool x\n)\n``` \nA bool value to indicate the operation is for training (default) or inference.\n\nDefaults to true"]]
