Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ExtractVolumePatches

public final class ExtractVolumePatches

Extract `patches` from `input` and put them in the `"depth"` output dimension. 3D extension of `extract_image_patches`.

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of a tensor.
static <T extends Number> ExtractVolumePatches <T>
create ( Scope scope, Operand <T> input, List<Long> ksizes, List<Long> strides, String padding)
Factory method to create a class wrapping a new ExtractVolumePatches operation.
Output <T>
patches ()
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.

Inherited Methods

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static ExtractVolumePatches <T> create ( Scope scope, Operand <T> input, List<Long> ksizes, List<Long> strides, String padding)

Factory method to create a class wrapping a new ExtractVolumePatches operation.

Parameters
scope current scope
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
  • a new instance of ExtractVolumePatches

public Output <T> patches ()

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.