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/* Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
Licensed under the Apache License, Version 2.0 (the "License"); | |
you may not use this file except in compliance with the License. | |
You may obtain a copy of the License at | |
http://www.apache.org/licenses/LICENSE-2.0 | |
Unless required by applicable law or agreed to in writing, software | |
distributed under the License is distributed on an "AS IS" BASIS, | |
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
See the License for the specific language governing permissions and | |
limitations under the License. | |
==============================================================================*/ | |
namespace tensorflow { | |
void FloatToBFloat16(const float* src, bfloat16* dst, int64 size) { | |
const uint16_t* p = reinterpret_cast<const uint16_t*>(src); | |
uint16_t* q = reinterpret_cast<uint16_t*>(dst); | |
for (; size != 0; p += 2, q++, size--) { | |
*q = p[0]; | |
} | |
for (; size != 0; p += 2, q++, size--) { | |
*q = p[1]; | |
} | |
} | |
void BFloat16ToFloat(const bfloat16* src, float* dst, int64 size) { | |
const uint16_t* p = reinterpret_cast<const uint16_t*>(src); | |
uint16_t* q = reinterpret_cast<uint16_t*>(dst); | |
for (; size != 0; p++, q += 2, size--) { | |
q[0] = *p; | |
q[1] = 0; | |
} | |
for (; size != 0; p++, q += 2, size--) { | |
q[0] = 0; | |
q[1] = *p; | |
} | |
} | |
} // end namespace tensorflow | |