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tensorflow::ops::MaxPoolGradGrad
#include <nn_ops.h>
Computes second-order gradients of the maxpooling function.
Summary
Args:
- scope: A Scope object
- orig_input: The original input tensor.
- orig_output: The original output tensor.
- grad: 4-D. Gradients of gradients w.r.t. the input of
max_pool.
- ksize: The size of the window for each dimension of the input tensor.
- strides: The stride of the sliding window for each dimension of the input tensor.
- padding: The type of padding algorithm to use.
Optional attributes (see Attrs):
- 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].
Returns:
Output: Gradients of gradients w.r.t. the input to max_pool.
Constructors and Destructors
|
MaxPoolGradGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
|
MaxPoolGradGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPoolGradGrad::Attrs & attrs)
|
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Attrs DataFormat(
StringPiece x
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::MaxPoolGradGrad Class Reference\n\ntensorflow::ops::MaxPoolGradGrad\n================================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes second-order gradients of the maxpooling function.\n\nSummary\n-------\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/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/r2.14/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_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/r2.14/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| [MaxPoolGradGrad](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1a624a485e1ee030cfb203f5767164e05d)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_input, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_output, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [MaxPoolGradGrad](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1a105790392c03a29e7a1a93c4a25f1065)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_input, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` orig_output, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[MaxPoolGradGrad::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1aaced190ad09e9b1e03ba1758d3846c59) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1a1db2508c1fc12d0bbbaf034e1332e8e9) | `::`[tensorflow::Output](/versions/r2.14/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_1a0a817f73310d28bd0344cba01c80d9eb)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1aa9cf85f8e08191a34aec8a97b5c7d7b5)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1a85951360272d8bcb3d56b273d5e3a06a)`() const ` | |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [DataFormat](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_1a2595c027a5b997820e1f11301e2f8e5b)`(StringPiece x)` | [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPoolGradGrad::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad/attrs) | Optional attribute setters for [MaxPoolGradGrad](/versions/r2.14/api_docs/cc/class/tensorflow/ops/max-pool-grad-grad#classtensorflow_1_1ops_1_1_max_pool_grad_grad). |\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### MaxPoolGradGrad\n\n```gdscript\n MaxPoolGradGrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input orig_input,\n ::tensorflow::Input orig_output,\n ::tensorflow::Input grad,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### MaxPoolGradGrad\n\n```gdscript\n MaxPoolGradGrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input orig_input,\n ::tensorflow::Input orig_output,\n ::tensorflow::Input grad,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const MaxPoolGradGrad::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```"]]
