public final class
CropAndResizeGradImage
Computes the gradient of the crop_and_resize op wrt the input image tensor.
Nested Classes
class | CropAndResizeGradImage.Options | Optional attributes for CropAndResizeGradImage
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> CropAndResizeGradImage<T> | |
static CropAndResizeGradImage.Options |
method(String method)
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Output<T> |
output()
A 4-D tensor of shape `[batch, image_height, image_width, depth]`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"CropAndResizeGradImage"
Public Methods
public Output<T> asOutput ()
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.
public static CropAndResizeGradImage<T> create (Scope scope, Operand<TFloat32> grads, Operand<TFloat32> boxes, Operand<TInt32> boxInd, Operand<TInt32> imageSize, Class<T> T, Options... options)
Factory method to create a class wrapping a new CropAndResizeGradImage operation.
Parameters
scope | current scope |
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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. |
options | carries optional attributes values |
Returns
- a new instance of CropAndResizeGradImage
public static CropAndResizeGradImage.Options method (String method)
Parameters
method | A string specifying the interpolation method. Only 'bilinear' is supported for now. |
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