tf.raw_ops.ResizeBilinearGrad

Computes the gradient of bilinear interpolation.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.ResizeBilinearGrad

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.