Modifier and Type | Class and Description |
---|---|
static class |
CropAndResizeGradImage.Options
Optional attributes for
CropAndResizeGradImage |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
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 wrapping a new CropAndResizeGradImage operation.
|
static CropAndResizeGradImage.Options |
method(String method) |
Output<T> |
output()
A 4-D tensor of shape `[batch, image_height, image_width, depth]`.
|
equals, hashCode, op, toString
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)
scope
- current scopegrads
- 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 valuespublic static CropAndResizeGradImage.Options method(String method)
method
- A string specifying the interpolation method. Only 'bilinear' is
supported for now.public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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