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tensorflow :: ops :: MaxPoolGradGradV2
#include <nn_ops.h> Calcula gradientes de segunda ordem da função maxpool.
Resumo
Argumentos:
- escopo: um objeto Scope
- orig_input: o tensor de entrada original.
- orig_output: o tensor de saída original.
- grad: 4-D. Gradientes de gradientes em relação à entrada de
max_pool . - ksize: O tamanho da janela para cada dimensão do tensor de entrada.
- strides: A distância da janela deslizante para cada dimensão do tensor de entrada.
- preenchimento: o tipo de algoritmo de preenchimento a ser usado.
Atributos opcionais (consulte Attrs ):
- data_format: especifique o formato dos dados de entrada e saída. Com o formato padrão "NHWC", os dados são armazenados na ordem de: [batch, in_height, in_width, in_channels]. Alternativamente, o formato poderia ser "NCHW", a ordem de armazenamento de dados de: [lote, in_channels, in_height, in_width].
Retorna:
-
Output : Gradientes de gradientes em relação à entrada para max_pool .
Construtores e Destruidores |
|---|
MaxPoolGradGradV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input, :: tensorflow::Input orig_output, :: tensorflow::Input grad, :: tensorflow::Input ksize, :: tensorflow::Input strides, StringPiece padding)
|
MaxPoolGradGradV2 (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input, :: tensorflow::Input orig_output, :: tensorflow::Input grad, :: tensorflow::Input ksize, :: tensorflow::Input strides, StringPiece padding, const MaxPoolGradGradV2::Attrs & attrs)
|
Funções estáticas públicas |
|---|
DataFormat (StringPiece x) | |
Atributos públicos
Funções públicas
nó
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador :: tensorflow :: Saída
operator::tensorflow::Output() const
Funções estáticas públicas
Attrs DataFormat(
StringPiece x
)
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Última atualização 2020-04-20 UTC.
[null,null,["Última atualização 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::MaxPoolGradGradV2 Class Reference\n\ntensorflow::ops::MaxPoolGradGradV2\n==================================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes second-order 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 of gradients w.r.t. the input 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-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_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 of gradients w.r.t. the input to `max_pool`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MaxPoolGradGradV2](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1a8522a6993112d51b0270fec6eaa2f07e)`(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| [MaxPoolGradGradV2](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1ae888a15ef1033e80c14e809bf63c40ce)`(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 `[MaxPoolGradGradV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1a4b1ea28bd24c8a99e78971caa985c0a5) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1a8029b0f95b9d1741f79c0168be835fa8) | `::`[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_grad_v2_1a126542d8e910a815bffb50d68dd4a8ab)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1adfafcdf81de0a5dbf0177f88b7ceebdd)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1abe4f5361ad71a740a4a680fb897b8b62)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1a363950312155aad1825d37b0dafb09d4)`(StringPiece x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-v2/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_v2_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPoolGradGradV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-v2/attrs) | Optional attribute setters for [MaxPoolGradGradV2](/versions/r2.1/api_docs/cc/class/tensorflow/ops/max-pool-grad-grad-v2#classtensorflow_1_1ops_1_1_max_pool_grad_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### MaxPoolGradGradV2\n\n```gdscript\n MaxPoolGradGradV2(\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### MaxPoolGradGradV2\n\n```gdscript\n MaxPoolGradGradV2(\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 MaxPoolGradGradV2::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```"]]
