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op {
graph_op_name: "ResizeBilinear"
in_arg {
name: "images"
description: <<END
4-D with shape `[batch, height, width, channels]`.
END
}
in_arg {
name: "size"
description: <<END
= A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The
new size for the images.
END
}
out_arg {
name: "resized_images"
description: <<END
4-D with shape
`[batch, new_height, new_width, channels]`.
END
}
attr {
name: "align_corners"
description: <<END
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.
END
}
summary: "Resize `images` to `size` using bilinear interpolation."
description: <<END
Input images can be of different types but output images are always float.
END
}
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