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#include "tensorflow/core/framework/bfloat16.h"
#include "tensorflow/core/platform/test_benchmark.h"
#include <gtest/gtest.h>
namespace tensorflow {
namespace {
TEST(Bfloat16Test, Simple) {
bfloat16 a(12);
EXPECT_EQ(12, a.value);
}
TEST(Bfloat16Test, Conversion) {
float a[100];
for (int i = 0; i < 100; ++i) {
a[i] = i + 1.25;
}
bfloat16 b[100];
float c[100];
FloatToBFloat16(a, b, 100);
BFloat16ToFloat(b, c, 100);
for (int i = 0; i < 100; ++i) {
// The relative error should be less than 1/(2^7) since bfloat16
// has 7 bits mantissa.
EXPECT_LE(fabs(c[i] - a[i]) / a[i], 1.0 / 128);
}
}
static void BM_FloatToBFloat16(int iters) {
testing::StopTiming();
static const int N = 32 << 20;
const int64 tot = static_cast<int64>(iters) * N;
testing::ItemsProcessed(tot);
testing::BytesProcessed(tot * (sizeof(float) + sizeof(bfloat16)));
float* inp = new float[N];
bfloat16* out = new bfloat16[N];
testing::StartTiming();
while (iters--) {
FloatToBFloat16(inp, out, N);
}
delete[] inp;
delete[] out;
}
BENCHMARK(BM_FloatToBFloat16);
static void BM_BFloat16ToFloat(int iters) {
testing::StopTiming();
static const int N = 32 << 20;
const int64 tot = static_cast<int64>(iters) * N;
testing::ItemsProcessed(tot);
testing::BytesProcessed(tot * (sizeof(float) + sizeof(bfloat16)));
bfloat16* inp = new bfloat16[N];
float* out = new float[N];
testing::StartTiming();
while (iters--) {
BFloat16ToFloat(inp, out, N);
}
delete[] inp;
delete[] out;
}
BENCHMARK(BM_BFloat16ToFloat);
} // namespace
} // namespace tensorflow
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