tensorflow:: ops:: QuantizedResizeBilinear
#include <image_ops.h>
Resize quantized images to size using quantized bilinear interpolation.
Summary
Input images and output images must be quantized types.
Args:
- scope: A Scope object
- images: 4-D with shape
[batch, height, width, channels]. - size: = A 1-D int32 Tensor of 2 elements:
new_height, new_width. The new size for the images.
Optional attributes (see Attrs):
- align_corners: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false.
Returns:
Outputresized_images: 4-D with shape[batch, new_height, new_width, channels].Outputout_minOutputout_max
Constructors and Destructors |
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QuantizedResizeBilinear(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, ::tensorflow::Input min, ::tensorflow::Input max)
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QuantizedResizeBilinear(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, ::tensorflow::Input min, ::tensorflow::Input max, const QuantizedResizeBilinear::Attrs & attrs)
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Public attributes |
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operation
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out_max
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out_min
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resized_images
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Public static functions |
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AlignCorners(bool x)
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HalfPixelCenters(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for QuantizedResizeBilinear. |
Public attributes
operation
Operation operation
out_max
::tensorflow::Output out_max
out_min
::tensorflow::Output out_min
resized_images
::tensorflow::Output resized_images
Public functions
QuantizedResizeBilinear
QuantizedResizeBilinear( const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, ::tensorflow::Input min, ::tensorflow::Input max )
QuantizedResizeBilinear
QuantizedResizeBilinear( const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, ::tensorflow::Input min, ::tensorflow::Input max, const QuantizedResizeBilinear::Attrs & attrs )
Public static functions
AlignCorners
Attrs AlignCorners( bool x )
HalfPixelCenters
Attrs HalfPixelCenters( bool x )