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tensorflow::ops::MaxPoolGradGradWithArgmax
#include <nn_ops.h>
Computes second-order gradients of the maxpooling function.
Summary
Arguments:
- scope: A Scope object
- input: The original input.
- grad: 4-D with shape
[batch, height, width, channels]. Gradients w.r.t. the input of max_pool.
- argmax: The indices of the maximum values chosen for each output 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):
- include_batch_in_index: Whether to include batch dimension in flattened index of
argmax.
Returns:
Output: Gradients of gradients w.r.t. the input of max_pool.
Constructors and Destructors
|
MaxPoolGradGradWithArgmax(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input grad, ::tensorflow::Input argmax, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
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MaxPoolGradGradWithArgmax(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input grad, ::tensorflow::Input argmax, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPoolGradGradWithArgmax::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
IncludeBatchInIndex
Attrs IncludeBatchInIndex(
bool x
)
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Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::MaxPoolGradGradWithArgmax Class Reference\n\ntensorflow::ops::MaxPoolGradGradWithArgmax\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/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: The original input.\n- grad: 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the input of `max_pool`.\n- argmax: The indices of the maximum values chosen for each 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/r1.15/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1_1_attrs)):\n\n- include_batch_in_index: Whether to include batch dimension in flattened index of `argmax`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Gradients of gradients w.r.t. the input of `max_pool`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MaxPoolGradGradWithArgmax](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1a593b2e655426fc2115b078b9fa3d58c9)`(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)` grad, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` argmax, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [MaxPoolGradGradWithArgmax](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1ae16cefddf3e2d1bc07b1be0a310d0f5f)`(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)` grad, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` argmax, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[MaxPoolGradGradWithArgmax::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1ad7651c4aa8ab3970d854e03fea44b931) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1a1df14c4bce71fd9dc7d6011430a93483) | `::`[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_max_pool_grad_grad_with_argmax_1a4fab108da33b0eca234b7b8476eadc8a)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1a1c878b05b1f1c50d0ac8b18bd8dabe5c)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1a8de5ba5ff913d7e716975d514f3a398a)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [IncludeBatchInIndex](#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1a08b144b554cd408cdae86515c196fbf0)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPoolGradGradWithArgmax::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/max-pool-grad-grad-with-argmax/attrs) | Optional attribute setters for [MaxPoolGradGradWithArgmax](/versions/r1.15/api_docs/cc/class/tensorflow/ops/max-pool-grad-grad-with-argmax#classtensorflow_1_1ops_1_1_max_pool_grad_grad_with_argmax). |\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### MaxPoolGradGradWithArgmax\n\n```gdscript\n MaxPoolGradGradWithArgmax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input grad,\n ::tensorflow::Input argmax,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### MaxPoolGradGradWithArgmax\n\n```gdscript\n MaxPoolGradGradWithArgmax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input grad,\n ::tensorflow::Input argmax,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const MaxPoolGradGradWithArgmax::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### IncludeBatchInIndex\n\n```text\nAttrs IncludeBatchInIndex(\n bool x\n)\n```"]]
