Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
aliran tensor:: operasi:: FusedResizeAndPadConv2D
#include <nn_ops.h> Melakukan pengubahan ukuran dan padding sebagai praproses selama konvolusi.
Ringkasan
Seringkali transformasi spasial dapat dilakukan dengan lebih efisien sebagai bagian dari tahapan pengemasan konvolusi, sehingga operasi ini memungkinkan implementasi yang dioptimalkan dengan menggabungkan tahapan-tahapan ini. Hal ini mencegah kebutuhan untuk menuliskan hasil antara sebagai tensor keseluruhan, sehingga mengurangi tekanan memori, dan kita bisa mendapatkan beberapa peningkatan latensi dengan menggabungkan perhitungan transformasi. Atribut data_format untuk Conv2D tidak didukung oleh operasi ini, dan defaultnya adalah urutan 'NHWC'. Secara internal, operasi ini menggunakan buffer awal per grafik, yang berarti operasi ini akan diblokir jika beberapa versi dijalankan secara paralel. Pasalnya, operator ini pada dasarnya melakukan optimasi untuk meminimalkan penggunaan memori.
Argumen:
- ruang lingkup: Objek Lingkup
- masukan: 4-D dengan bentuk
[batch, in_height, in_width, in_channels] . - size: Tensor int32 1-D dari 2 elemen:
new_height, new_width . Ukuran baru untuk gambar. - paddings: Matriks dua kolom yang menentukan ukuran padding. Jumlah baris harus sama dengan pangkat yang
input . - filter: 4-D dengan bentuk
[filter_height, filter_width, in_channels, out_channels] . - langkah: 1-D panjang 4. Langkah jendela geser untuk setiap dimensi
input . Harus berada dalam urutan yang sama dengan dimensi yang ditentukan dengan format. - padding: Jenis algoritma padding yang akan digunakan.
Atribut opsional (lihat Attrs ):
- resize_align_corners: Jika benar, bagian tengah dari 4 piksel sudut tensor masukan dan keluaran akan sejajar, mempertahankan nilai pada piksel sudut. Defaultnya salah.
Pengembalian:
Konstruktor dan Destruktor |
|---|
FusedResizeAndPadConv2D (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input size, :: tensorflow::Input paddings, :: tensorflow::Input filter, StringPiece mode, const gtl::ArraySlice< int > & strides, StringPiece padding)
|
FusedResizeAndPadConv2D (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input size, :: tensorflow::Input paddings, :: tensorflow::Input filter, StringPiece mode, const gtl::ArraySlice< int > & strides, StringPiece padding, const FusedResizeAndPadConv2D::Attrs & attrs)
|
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Ubah UkuranSejajarkan Sudut
Attrs ResizeAlignCorners(
bool x
)
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 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::FusedResizeAndPadConv2D Class Reference\n\ntensorflow::ops::FusedResizeAndPadConv2D\n========================================\n\n`#include \u003cnn_ops.h\u003e`\n\nPerforms a resize and padding as a preprocess during a convolution.\n\nSummary\n-------\n\nIt's often possible to do spatial transformations more efficiently as part of the packing stage of a convolution, so this op allows for an optimized implementation where these stages are fused together. This prevents the need to write out the intermediate results as whole tensors, reducing memory pressure, and we can get some latency gains by merging the transformation calculations. The data_format attribute for [Conv2D](/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv2-d#classtensorflow_1_1ops_1_1_conv2_d) isn't supported by this op, and defaults to 'NHWC' order. Internally this op uses a single per-graph scratch buffer, which means that it will block if multiple versions are being run in parallel. This is because this operator is primarily an optimization to minimize memory usage.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: 4-D with shape `[batch, in_height, in_width, in_channels]`.\n- size: A 1-D int32 [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of 2 elements: `new_height, new_width`. The new size for the images.\n- paddings: A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of `input`.\n- filter: 4-D with shape `[filter_height, filter_width, in_channels, out_channels]`.\n- strides: 1-D of length 4. The stride of the sliding window for each dimension of `input`. Must be in the same order as the dimension specified with format.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-resize-and-pad-conv2-d/attrs#structtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1_1_attrs)):\n\n- resize_align_corners: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FusedResizeAndPadConv2D](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1afdac6e55ba14082f1b161c3892feb79c)`(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)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` paddings, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, StringPiece mode, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [FusedResizeAndPadConv2D](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1ab05dac1d726214f232015fa7696ee523)`(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)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` paddings, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, StringPiece mode, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[FusedResizeAndPadConv2D::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-resize-and-pad-conv2-d/attrs#structtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1a452db77c1530086287369d18c4e67196) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1ad8619b45c03b5aa399ef784c4b5d96a5) | `::`[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_fused_resize_and_pad_conv2_d_1ad006395b5772a9dad02d7e8aec083755)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1ad64d511881de03b3de360bc2d09af397)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1a0ae5c811852f315f2b5cc87682ca69a3)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [ResizeAlignCorners](#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1a26a1da31c5f264b43033f67ce65063c0)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-resize-and-pad-conv2-d/attrs#structtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FusedResizeAndPadConv2D::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fused-resize-and-pad-conv2-d/attrs) | Optional attribute setters for [FusedResizeAndPadConv2D](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fused-resize-and-pad-conv2-d#classtensorflow_1_1ops_1_1_fused_resize_and_pad_conv2_d). |\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### FusedResizeAndPadConv2D\n\n```gdscript\n FusedResizeAndPadConv2D(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input size,\n ::tensorflow::Input paddings,\n ::tensorflow::Input filter,\n StringPiece mode,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### FusedResizeAndPadConv2D\n\n```gdscript\n FusedResizeAndPadConv2D(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input size,\n ::tensorflow::Input paddings,\n ::tensorflow::Input filter,\n StringPiece mode,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const FusedResizeAndPadConv2D::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### ResizeAlignCorners\n\n```text\nAttrs ResizeAlignCorners(\n bool x\n)\n```"]]
