Computes the gradient of bicubic interpolation.
Nested Classes
class | ResizeBicubicGrad.Options | Optional attributes for ResizeBicubicGrad
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static ResizeBicubicGrad.Options |
alignCorners(Boolean alignCorners)
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Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> ResizeBicubicGrad<T> | |
static ResizeBicubicGrad.Options |
halfPixelCenters(Boolean halfPixelCenters)
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Output<T> |
output()
4-D with shape `[batch, orig_height, orig_width, channels]`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static ResizeBicubicGrad.Options alignCorners (Boolean alignCorners)
Parameters
alignCorners | If true, the centers of the 4 corner pixels of the input and grad tensors are aligned. Defaults to false. |
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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 ResizeBicubicGrad<T> create (Scope scope, Operand<TFloat32> grads, Operand<T> originalImage, Options... options)
Factory method to create a class wrapping a new ResizeBicubicGrad operation.
Parameters
scope | current scope |
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grads | 4-D with shape `[batch, height, width, channels]`. |
originalImage | 4-D with shape `[batch, orig_height, orig_width, channels]`, The image tensor that was resized. |
options | carries optional attributes values |
Returns
- a new instance of ResizeBicubicGrad
public Output<T> output ()
4-D with shape `[batch, orig_height, orig_width, channels]`. Gradients with respect to the input image. Input image must have been float or double.