tensorflow-core-framework-bfloat16.h

```cpp
#ifndef TENSORFLOW_CORE_FRAMEWORK_BFLOAT16_H_
#define TENSORFLOW_CORE_FRAMEWORK_BFLOAT16_H_

#include "tensorflow/core/framework/numeric_types.h"
#include "tensorflow/core/platform/byte_order.h"
#include "tensorflow/core/platform/types.h"

#if defined(PLATFORM_WINDOWS)
#include "tensorflow/core/platform/windows/cpu_info.h"
#endif

// Compact 16-bit encoding of floating point numbers. This representation uses
// 1 bit for the sign, 8 bits for the exponent and 7 bits for the mantissa.  It
// is assumed that floats are in IEEE 754 format so the representation is just
// bits 16-31 of a single precision float.
//
// NOTE: The IEEE floating point standard defines a float16 format that
// is different than this format (it has fewer bits of exponent and more
// bits of mantissa).  We don't use that format here because conversion
// to/from 32-bit floats is more complex for that format, and the
// conversion for this format is very simple.
//
// Because of the existing IEEE float16 type, we do not name our representation
// "float16" but just use "uint16".
//
// <-----our 16bits float------->
// s e e e e e e e e f f f f f f f f f f f f f f f f f f f f f f f
// <------------------------------float-------------------------->
// 3 3             2 2             1 1                           0
// 1 0             3 2             5 4                           0
//
//
// This type only supports conversion back and forth with float.
//
// This file must be compilable by nvcc.
//
// The type is defined in framework/numeric_types.h.

namespace tensorflow {

// Conversion routines between an array of float and bfloat16 of
// "size".
void FloatToBFloat16(const float* src, bfloat16* dst, int64 size);
void BFloat16ToFloat(const bfloat16* src, float* dst, int64 size);

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_FRAMEWORK_BFLOAT16_H_
```

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