org.tensorflow.op.core

Class CropAndResizeGradImage<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.CropAndResizeGradImage<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class CropAndResizeGradImage<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the gradient of the crop_and_resize op wrt the input image tensor.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	CropAndResizeGradImage.Options Optional attributes for CropAndResizeGradImage

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> CropAndResizeGradImage<T>	create(Scope scope, Operand<Float> grads, Operand<Float> boxes, Operand<Integer> boxInd, Operand<Integer> imageSize, Class<T> T, CropAndResizeGradImage.Options... options) Factory method to create a class to wrap a new CropAndResizeGradImage operation to the graph.
static CropAndResizeGradImage.Options	method(String method)
Output<T>	output() A 4-D tensor of shape `[batch, image_height, image_width, depth]`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T extends Number> CropAndResizeGradImage<T> create(Scope scope,
                                                                  Operand<Float> grads,
                                                                  Operand<Float> boxes,
                                                                  Operand<Integer> boxInd,
                                                                  Operand<Integer> imageSize,
                                                                  Class<T> T,
                                                                  CropAndResizeGradImage.Options... options)

Factory method to create a class to wrap a new CropAndResizeGradImage operation to the graph.

Parameters:

scope - current graph scope

grads - A 4-D tensor of shape `[num_boxes, crop_height, crop_width, depth]`.

boxes - A 2-D tensor of shape `[num_boxes, 4]`. The `i`-th row of the tensor specifies the coordinates of a box in the `box_ind[i]` image and is specified in normalized coordinates `[y1, x1, y2, x2]`. A normalized coordinate value of `y` is mapped to the image coordinate at `y * (image_height - 1)`, so as the `[0, 1]` interval of normalized image height is mapped to `[0, image_height - 1] in image height coordinates. We do allow y1 > y2, in which case the sampled crop is an up-down flipped version of the original image. The width dimension is treated similarly. Normalized coordinates outside the `[0, 1]` range are allowed, in which case we use `extrapolation_value` to extrapolate the input image values.

boxInd - A 1-D tensor of shape `[num_boxes]` with int32 values in `[0, batch)`. The value of `box_ind[i]` specifies the image that the `i`-th box refers to.

imageSize - A 1-D tensor with value `[batch, image_height, image_width, depth]` containing the original image size. Both `image_height` and `image_width` need to be positive.

T -

options - carries optional attributes values

Returns:

a new instance of CropAndResizeGradImage

method

public static CropAndResizeGradImage.Options method(String method)

Parameters:

method - A string specifying the interpolation method. Only 'bilinear' is supported for now.

output

public Output<T> output()

A 4-D tensor of shape `[batch, image_height, image_width, depth]`.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends Number>

See Also:

OperationBuilder.addInput(Output)