Computes the gradient of bilinear interpolation.
tf.raw_ops.ResizeBilinearGrad(
grads, original_image, align_corners=False, half_pixel_centers=False, name=None
)
Args |
|---|
grads
|
A Tensor of type float32.
4-D with shape [batch, height, width, channels].
|
original_image
|
A Tensor. Must be one of the following types: float32, bfloat16, half, float64.
4-D with shape [batch, orig_height, orig_width, channels],
The image tensor that was resized.
|
align_corners
|
An optional bool. Defaults to False.
If true, the centers of the 4 corner pixels of the input and grad tensors are
aligned. Defaults to false.
|
half_pixel_centers
|
An optional bool. Defaults to False.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as original_image.
|
