// The type of data stored in a tensor.
enum TensorType : byte {
  FLOAT32 = 0,
  FLOAT16 = 1,
  INT32 = 2,
  UINT8 = 3,
  INT64 = 4,
  STRING = 5,
  BOOL = 6,
  INT16 = 7,
  COMPLEX64 = 8,
  INT8 = 9,
  FLOAT64 = 10,
  COMPLEX128 = 11,
  UINT64 = 12,
  // Experimental: Resource and variant types are experimental, that are subject

float32     the set of all IEEE 754 32-bit floating-point numbers
float64     the set of all IEEE 754 64-bit floating-point numbers

complex64   the set of all complex numbers with float32 real and imaginary parts
complex128  the set of all complex numbers with float64 real and imaginary parts

byte        alias for uint8
rune        alias for int32
</pre>

dimension be equal to sizeof(`type`)/sizeof(`T`). The shape then goes from
[..., sizeof(`type`)/sizeof(`T`)] to [...].

tf.bitcast() and tf.cast() work differently when real dtype is casted as a complex dtype
(e.g. tf.complex64 or tf.complex128) as tf.cast() make imaginary part 0 while tf.bitcast()
gives module error.
For example,

Example 1:

>>> a = [1., 2., 3.]
>>> equality_bitcast = tf.bitcast(a, tf.complex128)

        `tf.float64` (for which there was no GPU implementation). In this
        current release, GPU support for other floating-point types
        (`tf.float16`, `tf.float64`, `tf.complex64`, and `tf.complex128`) has
        been added for this op. If you were relying on the determinism of the
        `tf.float64` CPU implementation being automatically selected because of

  static const char * const names[20] = {
    "FLOAT32",
    "FLOAT16",
    "INT32",
    "UINT8",
    "INT64",
    "STRING",
    "BOOL",
    "INT16",
    "COMPLEX64",
    "INT8",
    "FLOAT64",
    "COMPLEX128",
    "UINT64",
    "RESOURCE",
    "VARIANT",
    "UINT32",
    "UINT16",
    "INT4",
    "BFLOAT16",
    nullptr
  };

	{ir.OBITNOT, types.TUINT32}: ssa.OpCom32,
	{ir.OBITNOT, types.TINT64}:  ssa.OpCom64,
	{ir.OBITNOT, types.TUINT64}: ssa.OpCom64,

	{ir.OIMAG, types.TCOMPLEX64}:  ssa.OpComplexImag,
	{ir.OIMAG, types.TCOMPLEX128}: ssa.OpComplexImag,
	{ir.OREAL, types.TCOMPLEX64}:  ssa.OpComplexReal,
	{ir.OREAL, types.TCOMPLEX128}: ssa.OpComplexReal,

	{ir.OMUL, types.TINT8}:    ssa.OpMul8,
	{ir.OMUL, types.TUINT8}:   ssa.OpMul8,