type float64 float64

// complex64 is the set of all complex numbers with float32 real and
// imaginary parts.
type complex64 complex64

// complex128 is the set of all complex numbers with float64 real and
// imaginary parts.
type complex128 complex128

// string is the set of all strings of 8-bit bytes, conventionally but not
// necessarily representing UTF-8-encoded text. A string may be empty, but

pkg reflect, method (Value) Seq2() iter.Seq2[Value, Value] #66056
pkg reflect, type Type interface, CanSeq() bool #66056
pkg reflect, type Type interface, CanSeq2() bool #66056
pkg reflect, type Type interface, OverflowComplex(complex128) bool #60427
pkg reflect, type Type interface, OverflowFloat(float64) bool #60427
pkg reflect, type Type interface, OverflowInt(int64) bool #60427
pkg reflect, type Type interface, OverflowUint(uint64) bool #60427

  virtual AbstractTensorInterface* CreateHalfScalar(Eigen::half value) = 0;
  virtual AbstractTensorInterface* CreateStringScalar(tstring value) = 0;
  virtual AbstractTensorInterface* CreateComplex128Scalar(complex128 value) = 0;
  virtual AbstractTensorInterface* CreateBoolScalar(bool value) = 0;

  // Tensor creation functions
  virtual AbstractTensorInterface* CreateTensor(

yields a typed constant.
</p>

<pre>
uint(iota)               // iota value of type uint
float32(2.718281828)     // 2.718281828 of type float32
complex128(1)            // 1.0 + 0.0i of type complex128
float32(0.49999999)      // 0.5 of type float32
float64(-1e-1000)        // 0.0 of type float64
string('x')              // "x" of type string
string(0x266c)           // "♬" of type string

				}
			}
		case reflect.Invalid, reflect.Uintptr, reflect.Array, reflect.Chan, reflect.Func, reflect.Interface,
			reflect.Map, reflect.Ptr, reflect.Slice, reflect.UnsafePointer, reflect.Complex64, reflect.Complex128:
			schema.err = fmt.Errorf("invalid embedded struct for %s's field %s, should be struct, but got %v", field.Schema.Name, field.Name, field.FieldType)
		}
	}

	return field
}

        `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