tf.raw_ops.ResizeBicubicGrad
Computes the gradient of bicubic interpolation.
tf.raw_ops.ResizeBicubicGrad(
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, 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ResizeBicubicGrad