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