let summary = "Converts two real numbers to a complex number.";

  let description = [{
Given a tensor `real` representing the real part of a complex number, and a
tensor `imag` representing the imaginary part of a complex number, this
operation returns complex numbers elementwise of the form \\(a + bj\\), where
*a* represents the `real` part and *b* represents the `imag` part.

		{"MakeFromLiteral", Func, 5},
		{"MakeImag", Func, 5},
		{"MakeInt64", Func, 5},
		{"MakeString", Func, 5},
		{"MakeUint64", Func, 5},
		{"MakeUnknown", Func, 5},
		{"Num", Func, 5},
		{"Real", Func, 5},
		{"Shift", Func, 5},
		{"Sign", Func, 5},
		{"String", Const, 5},
		{"StringVal", Func, 5},
		{"ToComplex", Func, 6},
		{"ToFloat", Func, 6},
		{"ToInt", Func, 6},

        "properties": {
          "path": {
            "default": "",
            "description": "path of the directory on the host. If the path is a symlink, it will follow the link to the real path. More info: https://kubernetes.io/docs/concepts/storage/volumes#hostpath",
            "type": "string"
          },
          "type": {

*   Added Java API support for Windows.
*   Added `tf.spectral` module. Moved existing FFT ops to `tf.spectral` while
    keeping an alias in the old location (`tf.*`).
*   Added 1D, 2D and 3D Fourier transform ops for real signals to `tf.spectral`.
*   Added a `tf.bincount` function.
*   Added Keras 2 API to contrib.
*   Added a new lightweight queue-like object - `RecordInput`.
*   Added `tf.contrib.image.compose_transforms` function.