tf.image.resize_bilinear

tf.image.resize_bilinear(
    images,
    size,
    align_corners=False,
    name=None
)

Defined in tensorflow/python/ops/gen_image_ops.py.

See the guide: Images > Resizing

Resize images to size using bilinear interpolation.

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. 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.
• name: A name for the operation (optional).

Returns:

A Tensor of type float32.