tensorflow::
#include <nn_ops.h>
Performs max pooling on the input and outputs both max values and indices.
Summary
The indices in argmax are flattened, so that a maximum value at position [b, y, x, c] becomes flattened index: (y * width + x) * channels + c if include_batch_in_index is False; ((b * height + y) * width + x) * channels + c if include_batch_in_index is True.
The indices returned are always in [0, height) x [0, width) before flattening, even if padding is involved and the mathematically correct answer is outside (either negative or too large). This is a bug, but fixing it is difficult to do in a safe backwards compatible way, especially due to flattening.
Args:
- scope: A Scope object
- input: 4-D with shape [batch, height, width, channels]. Input to pool over.
- 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:
- Outputoutput: The max pooled output tensor.
- Outputargmax: 4-D. The flattened indices of the max values chosen for each output.
| Constructors and Destructors | |
|---|---|
| MaxPoolWithArgmax(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding) | |
| MaxPoolWithArgmax(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPoolWithArgmax::Attrs & attrs) | 
| Public attributes | |
|---|---|
| argmax | |
| operation | |
| output | |
| Public static functions | |
|---|---|
| IncludeBatchInIndex(bool x) | |
| Targmax(DataType x) | |
| Structs | |
|---|---|
| tensorflow:: | Optional attribute setters for MaxPoolWithArgmax. | 
Public attributes
argmax
::tensorflow::Output argmax
operation
Operation operation
output
::tensorflow::Output output
Public functions
MaxPoolWithArgmax
MaxPoolWithArgmax( const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding )
MaxPoolWithArgmax
MaxPoolWithArgmax( const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPoolWithArgmax::Attrs & attrs )
Public static functions
IncludeBatchInIndex
Attrs IncludeBatchInIndex( bool x )
Targmax
Attrs Targmax( DataType x )