tensorflow:: ops:: ExtractVolumePatches

Extract patches from input and put them in the "depth" output dimension.

Summary

3D extension of extract_image_patches .

Args:

• scope: A Scope object
• input: 5-D Tensor with shape [batch, in_planes, in_rows, in_cols, depth] .
• ksizes: The size of the sliding window for each dimension of input .
• strides: 1-D of length 5. How far the centers of two consecutive patches are in input . Must be: [1, stride_planes, stride_rows, stride_cols, 1] .
• padding: The type of padding algorithm to use.

The size-related attributes are specified as follows:

ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1]
strides = [1, stride_planes, strides_rows, strides_cols, 1]

Returns:

• Output : 5-D Tensor with shape [batch, out_planes, out_rows, out_cols, ksize_planes * ksize_rows * ksize_cols * depth] containing patches with size ksize_planes x ksize_rows x ksize_cols x depth vectorized in the "depth" dimension. Note out_planes , out_rows and out_cols are the dimensions of the output patches.

Public attributes

Operation operation

::tensorflow::Output patches

Public functions

 ExtractVolumePatches(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const gtl::ArraySlice< int > & ksizes,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const