tensorflow::ops::FusedResizeAndPadConv2D

#include <nn_ops.h>

Performs a resize and padding as a preprocess during a convolution.

Summary

It's often possible to do spatial transformations more efficiently as part of the packing stage of a convolution, so this op allows for an optimized implementation where these stages are fused together. This prevents the need to write out the intermediate results as whole tensors, reducing memory pressure, and we can get some latency gains by merging the transformation calculations. The data_format attribute for Conv2D isn't supported by this op, and defaults to 'NHWC' order. Internally this op uses a single per-graph scratch buffer, which means that it will block if multiple versions are being run in parallel. This is because this operator is primarily an optimization to minimize memory usage.

Arguments:

  • scope: A Scope object
  • input: 4-D with shape [batch, in_height, in_width, in_channels].
  • size: A 1-D int32 Tensor of 2 elements: new_height, new_width. The new size for the images.
  • paddings: A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of input.
  • filter: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
  • strides: 1-D of length 4. The stride of the sliding window for each dimension of input. Must be in the same order as the dimension specified with format.
  • padding: The type of padding algorithm to use.

Optional attributes (see Attrs):

  • resize_align_corners: If true, rescale input by (new_height - 1) / (height - 1), which exactly aligns the 4 corners of images and resized images. If false, rescale by new_height / height. Treat similarly the width dimension.

Returns:

Constructors and Destructors

FusedResizeAndPadConv2D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input size, ::tensorflow::Input paddings, ::tensorflow::Input filter, StringPiece mode, const gtl::ArraySlice< int > & strides, StringPiece padding)
FusedResizeAndPadConv2D(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input size, ::tensorflow::Input paddings, ::tensorflow::Input filter, StringPiece mode, const gtl::ArraySlice< int > & strides, StringPiece padding, const FusedResizeAndPadConv2D::Attrs & attrs)

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

ResizeAlignCorners(bool x)

Structs

tensorflow::ops::FusedResizeAndPadConv2D::Attrs

Optional attribute setters for FusedResizeAndPadConv2D.

Public attributes

output

::tensorflow::Output output

Public functions

FusedResizeAndPadConv2D

 FusedResizeAndPadConv2D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input size,
  ::tensorflow::Input paddings,
  ::tensorflow::Input filter,
  StringPiece mode,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

FusedResizeAndPadConv2D

 FusedResizeAndPadConv2D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input size,
  ::tensorflow::Input paddings,
  ::tensorflow::Input filter,
  StringPiece mode,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const FusedResizeAndPadConv2D::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

ResizeAlignCorners

Attrs ResizeAlignCorners(
  bool x
)