def _ResizeNearestNeighborGrad(op, grad): """The derivatives for nearest neighbor resizing. Args: op: The ResizeNearestNeighbor op. grad: The tensor representing the gradient w.r.t. the output. Returns: The gradients w.r.t. the input and the output. """ grads = gen_image_ops.resize_nearest_neighbor_grad( grad, op.inputs[0].get_shape()[1:3]) return [grads, None]
def _ResizeNearestNeighborGrad(op, grad): """The derivatives for nearest neighbor resizing. Args: op: The ResizeNearestNeighbor op. grad: The tensor representing the gradient w.r.t. the output. Returns: The gradients w.r.t. the input and the output. """ image = op.inputs[0] if image.get_shape()[1:3].is_fully_defined(): image_shape = image.get_shape()[1:3] else: image_shape = array_ops.shape(image)[1:3] grads = gen_image_ops.resize_nearest_neighbor_grad( grad, image_shape, align_corners=op.get_attr("align_corners")) return [grads, None]
def _ResizeNearestNeighborGrad(op, grad): """The derivatives for nearest neighbor resizing. Args: op: The ResizeNearestNeighbor op. grad: The tensor representing the gradient w.r.t. the output. Returns: The gradients w.r.t. the input and the output. """ image = op.inputs[0] if image.get_shape()[1:3].is_fully_defined(): image_shape = image.get_shape()[1:3] else: image_shape = array_ops.shape(image)[1:3] grads = gen_image_ops.resize_nearest_neighbor_grad( grad, image_shape, align_corners=op.get_attr("align_corners")) return [grads, None]