tensorflow:: ops:: QuantizedMaxPool
#include <nn_ops.h>
Produces the max pool of the input tensor for quantized types.
Summary
Args:
- scope: A Scope object
- input: The 4D (batch x rows x cols x depth) Tensor to MaxReduce over.
- min_input: The float value that the lowest quantized input value represents.
- max_input: The float value that the highest quantized input value represents.
- ksize: The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
- strides: The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
- padding: The type of padding algorithm to use.
Returns:
Output
outputOutput
min_output: The float value that the lowest quantized output value represents.Output
max_output: The float value that the highest quantized output value represents.
Constructors and Destructors |
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QuantizedMaxPool(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input min_input, ::tensorflow::Input max_input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
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Public attributes |
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max_output
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min_output
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operation
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output
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Public attributes
max_output
::tensorflow::Output max_output
min_output
::tensorflow::Output min_output
operation
Operation operation
output
::tensorflow::Output output
Public functions
QuantizedMaxPool
QuantizedMaxPool( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input min_input, ::tensorflow::Input max_input, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding )