tensorflow::ops::Conv3DBackpropInputV2

#include <nn_ops.h>

Computes the gradients of 3-D convolution with respect to the input.

Summary

Arguments:

  • scope: A Scope object
  • input_sizes: An integer vector representing the tensor shape of input, where input is a 5-D [batch, depth, rows, cols, in_channels] tensor.
  • filter: Shape [depth, rows, cols, in_channels, out_channels]. in_channels must match between input and filter.
  • out_backprop: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
  • strides: 1-D tensor of length 5. The stride of the sliding window for each dimension of input. Must have strides[0] = strides[4] = 1.
  • padding: The type of padding algorithm to use.

Optional attributes (see Attrs):

  • data_format: The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].
  • dilations: 1-D tensor of length 5. The dilation factor for each dimension of input. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of data_format, see above for details. Dilations in the batch and depth dimensions must be 1.

Returns:

Constructors and Destructors
Conv3DBackpropInputV2(const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding)
Conv3DBackpropInputV2(const ::tensorflow::Scope & scope, ::tensorflow::Input input_sizes, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3DBackpropInputV2::Attrs & attrs)

Public attributes
operation
output

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

Public static functions
DataFormat(StringPiece x)
Dilations(const gtl::ArraySlice< int > & x)

Structs
tensorflow::ops::Conv3DBackpropInputV2::Attrs

Optional attribute setters for Conv3DBackpropInputV2.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

Conv3DBackpropInputV2

 Conv3DBackpropInputV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

Conv3DBackpropInputV2

 Conv3DBackpropInputV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const Conv3DBackpropInputV2::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

DataFormat

Attrs DataFormat(
  StringPiece x
)

Dilations

Attrs Dilations(
  const gtl::ArraySlice< int > & x
)