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aliran tensor:: operasi:: MaxPoolGradV2
#include <nn_ops.h> Menghitung gradien fungsi maxpooling.
Ringkasan
Argumen:
- ruang lingkup: Objek Lingkup
- orig_input: Tensor masukan asli.
- orig_output: Tensor keluaran asli.
- lulusan: 4-D. Gradien menulis keluaran
max_pool . - ksize : Ukuran jendela untuk setiap dimensi tensor masukan.
- langkah: Langkah jendela geser untuk setiap dimensi tensor masukan.
- padding: Jenis algoritma padding yang akan digunakan.
Atribut opsional (lihat Attrs ):
- data_format: Menentukan format data input dan output data. Dengan format default "NHWC", data disimpan dalam urutan: [batch, in_height, in_width, in_channels]. Alternatifnya, formatnya bisa berupa "NCHW", urutan penyimpanan data: [batch, in_channels, in_height, in_width].
Pengembalian:
-
Output : Gradien menulis input ke max_pool .
Konstruktor dan Destruktor |
|---|
MaxPoolGradV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input, :: tensorflow::Input orig_output, :: tensorflow::Input grad, :: tensorflow::Input ksize, :: tensorflow::Input strides, StringPiece padding)
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MaxPoolGradV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input, :: tensorflow::Input orig_output, :: tensorflow::Input grad, :: tensorflow::Input ksize, :: tensorflow::Input strides, StringPiece padding, const MaxPoolGradV2::Attrs & attrs)
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Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Attrs DataFormat(
StringPiece x
)
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::MaxPoolGradV2 Class Reference\n\ntensorflow::ops::MaxPoolGradV2\n==============================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes gradients of the maxpooling function.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- orig_input: The original input tensor.\n- orig_output: The original output tensor.\n- grad: 4-D. Gradients w.r.t. the output of `max_pool`.\n- ksize: The size of the window for each dimension of the input tensor.\n- strides: The stride of the sliding window for each dimension of the input tensor.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_v2_1_1_attrs)):\n\n- data_format: Specify the data format of the input and output data. With the default format \"NHWC\", the data is stored in the order of: \\[batch, in_height, in_width, in_channels\\]. Alternatively, the format could be \"NCHW\", the data storage order of: \\[batch, in_channels, in_height, in_width\\].\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Gradients w.r.t. the input to `max_pool`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MaxPoolGradV2](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1ab05c91a5c4bc07d0805b7dd2aab3270f)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_input, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_output, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ksize, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` strides, StringPiece padding)` ||\n| [MaxPoolGradV2](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1a8d813c2e82262a2cd8c5fbc9ecdf127f)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_input, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_output, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ksize, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` strides, StringPiece padding, const `[MaxPoolGradV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1aaad457667ae559908a921e1d1c4f2ab9) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1a7e6ea6a7f4e725e44f3a2a4453da42e1) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1a3ba2667fa5f803170177b6a35c3a5ea3)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1af364ab8343392987a021cd3e814bad27)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1a1f3db6b67dad10302ab3d01182106bb5)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_max_pool_grad_v2_1a4a13c35107a928a801ddff9fc350497b)`(StringPiece x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_v2_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPoolGradV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-v2/attrs) | Optional attribute setters for [MaxPoolGradV2](/versions/r2.1/api_docs/cc/class/tensorflow/ops/max-pool-grad-v2#classtensorflow_1_1ops_1_1_max_pool_grad_v2). |\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### MaxPoolGradV2\n\n```gdscript\n MaxPoolGradV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input orig_input,\n ::tensorflow::Input orig_output,\n ::tensorflow::Input grad,\n ::tensorflow::Input ksize,\n ::tensorflow::Input strides,\n StringPiece padding\n)\n``` \n\n### MaxPoolGradV2\n\n```gdscript\n MaxPoolGradV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input orig_input,\n ::tensorflow::Input orig_output,\n ::tensorflow::Input grad,\n ::tensorflow::Input ksize,\n ::tensorflow::Input strides,\n StringPiece padding,\n const MaxPoolGradV2::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### DataFormat\n\n```text\nAttrs DataFormat(\n StringPiece x\n)\n```"]]
