tf.raw_ops.ResizeBilinear

Resize images to size using bilinear interpolation.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.ResizeBilinear

tf.raw_ops.ResizeBilinear(
    images, size, align_corners=False, half_pixel_centers=False, name=None
)

Input images can be of different types but output images are always float.

Args
images	A Tensor. Must be one of the following types: int8, uint8, int16, uint16, int32, int64, bfloat16, half, float32, float64, bfloat16. 4-D with shape [batch, height, width, channels].
size	A 1-D int32 Tensor of 2 elements: new_height, new_width. The new size for the images.
align_corners	An optional bool. Defaults to False. If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false.
half_pixel_centers	An optional bool. Defaults to False.
name	A name for the operation (optional).

Returns
A Tensor of type float32.