Class ExtractImagePatches<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.image.ExtractImagePatches<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="image")
public final class ExtractImagePatches<T extends TType>
extends RawOp
implements Operand<T>

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

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ExtractImagePatches.Inputs<T extends TType>

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
ExtractImagePatches(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TType> ExtractImagePatches<T>	create(Scope scope, Operand<T> images, List<Long> ksizes, List<Long> strides, List<Long> rates, String padding)	Factory method to create a class wrapping a new ExtractImagePatches operation.
Output<T>	patches()	Gets patches. 4-D Tensor with shape [batch, out_rows, out_cols, ksize_rows * ksize_cols * depth] containing image patches with size ksize_rows x ksize_cols x depth vectorized in the "depth" dimension.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

See Also:

• Constant Field Values

Constructor Details

ExtractImagePatches

public ExtractImagePatches(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType>
ExtractImagePatches<T> create(Scope scope,
 Operand<T> images,
 List<Long> ksizes,
 List<Long> strides,
 List<Long> rates,
 String padding)

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

Type Parameters:

T - data type for ExtractImagePatches output and operands

Parameters:

scope - current scope

images - 4-D Tensor with shape [batch, in_rows, in_cols, depth].

ksizes - The size of the sliding window for each dimension of images.

strides - How far the centers of two consecutive patches are in the images. Must be: [1, stride_rows, stride_cols, 1].

rates - Must be: [1, rate_rows, rate_cols, 1]. This is the input stride, specifying how far two consecutive patch samples are in the input. Equivalent to extracting patches with patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1), followed by subsampling them spatially by a factor of rates. This is equivalent to rate in dilated (a.k.a. Atrous) convolutions.

padding - The type of padding algorithm to use.

Returns:

a new instance of ExtractImagePatches

patches

public Output<T> patches()

Gets patches. 4-D Tensor with shape [batch, out_rows, out_cols, ksize_rows * ksize_cols * depth] containing image patches with size ksize_rows x ksize_cols x depth vectorized in the "depth" dimension. Note out_rows and out_cols are the dimensions of the output patches.

Returns:

patches.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of the 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.

Specified by:

asOutput in interface Operand<T extends TType>

See Also:

• OperationBuilder.addInput(Output)