Go: Update generated wrapper functions for TensorFlow ops.

PiperOrigin-RevId: 168549989

tensorflow/go/op/wrappers.go

@@ -7321,6 +7321,50 @@ func ResizeNearestNeighbor(scope *Scope, images tf.Output, size tf.Output, optio
 	return op.Output(0)
 }
 
+// ResizeBicubicGradAttr is an optional argument to ResizeBicubicGrad.
+type ResizeBicubicGradAttr func(optionalAttr)
+
+// ResizeBicubicGradAlignCorners sets the optional align_corners attribute to value.
+//
+// value: If true, rescale grads by (orig_height - 1) / (height - 1), which
+// exactly aligns the 4 corners of grads and original_image. If false, rescale by
+// orig_height / height. Treat similarly the width dimension.
+// If not specified, defaults to false
+func ResizeBicubicGradAlignCorners(value bool) ResizeBicubicGradAttr {
+	return func(m optionalAttr) {
+		m["align_corners"] = value
+	}
+}
+
+// Computes the gradient of bicubic interpolation.
+//
+// Arguments:
+//	grads: 4-D with shape `[batch, height, width, channels]`.
+//	original_image: 4-D with shape `[batch, orig_height, orig_width, channels]`,
+// The image tensor that was resized.
+//
+// Returns 4-D with shape `[batch, orig_height, orig_width, channels]`.
+// Gradients with respect to the input image. Input image must have been
+// float or double.
+func ResizeBicubicGrad(scope *Scope, grads tf.Output, original_image tf.Output, optional ...ResizeBicubicGradAttr) (output tf.Output) {
+	if scope.Err() != nil {
+		return
+	}
+	attrs := map[string]interface{}{}
+	for _, a := range optional {
+		a(attrs)
+	}
+	opspec := tf.OpSpec{
+		Type: "ResizeBicubicGrad",
+		Input: []tf.Input{
+			grads, original_image,
+		},
+		Attrs: attrs,
+	}
+	op := scope.AddOperation(opspec)
+	return op.Output(0)
+}
+
 // SummaryWriterAttr is an optional argument to SummaryWriter.
 type SummaryWriterAttr func(optionalAttr)