virtual void GetNameAttrList(
      tensorflow::NameAttrList* name_and_attrs) const = 0;

  virtual bool GetInt(absl::string_view, int64_t* result) const = 0;
  virtual bool GetFloat(absl::string_view attr_name, float* result) const = 0;
  virtual bool GetBool(absl::string_view attr_name, bool* result) const = 0;
  virtual bool GetType(absl::string_view attr_name, DataType* result) const = 0;

			case int:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int8:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int16:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case int32:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint8:

		}

		fA, okAf := a.bytesToFloat()
		fB, okBf := b.bytesToFloat()
		if okAf && okBf {
			a.setFloat(fA)
			b.setFloat(fB)
			return nil
		}

		// Check if they int and float combination.
		if okAi && okBf {
			a.setInt(iA)
			b.setFloat(fA)
			return nil
		}
		if okBi && okAf {
			a.setFloat(fA)
			b.setInt(iB)
			return nil
		}

		// Not numeric types at this point.

		// inferring untyped values are numbers.
		if !argVal.isNumeric() {
			if i, ok := argVal.bytesToInt(); ok {
				argVal.setInt(i)
			} else if f, ok := argVal.bytesToFloat(); ok {
				argVal.setFloat(f)
			} else {
				return errNonNumericArg(funcName)
			}
		}
	}

	// Mark that we have seen one non-null value.
	isFirstRow := false
	if !e.aggregate.seen {
		e.aggregate.seen = true

pkg reflect, method (Value) Set(Value)
pkg reflect, method (Value) SetBool(bool)
pkg reflect, method (Value) SetBytes([]uint8)
pkg reflect, method (Value) SetComplex(complex128)
pkg reflect, method (Value) SetFloat(float64)
pkg reflect, method (Value) SetInt(int64)
pkg reflect, method (Value) SetLen(int)
pkg reflect, method (Value) SetMapIndex(Value, Value)
pkg reflect, method (Value) SetPointer(unsafe.Pointer)