rocm-systems/tests/src/deviceLib/hipBfloat16.cpp

/*
Copyright (c) 2015-2019 Advanced Micro Devices, Inc. All rights reserved.
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The above copyright notice and this permission notice shall be included in
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*/

/* HIT_START
 * BUILD: %t %s ../test_common.cpp NVCC_OPTIONS -std=c++11
 * TEST: %t
 * HIT_END
 */
#include "test_common.h"
#include <hip/hip_runtime.h>
#include <hip/hip_bfloat16.h>
#include <type_traits>
#include <random>
#include <climits>

#define SIZE 100
using namespace std;

static random_device dev;
static mt19937 rng(dev());

inline float getRandomFloat(long min = 10, long max = LONG_MAX) {
    uniform_real_distribution<float> gen(min, max);
    return gen(rng);
}

__host__ __device__ bool testRelativeAccuracy(float a, hip_bfloat16 b) {
  float c = float(b);
  // float relative error should be less than 1/(2^7) since bfloat16
  // has 7 bits mantissa.
  if(fabs(c - a) / a <= 1.0 / 128){
    return true;
  }
  return false;
}

__host__ __device__ void testOperations(float &fa, float &fb) {

  hip_bfloat16 bf_a(fa);
  hip_bfloat16 bf_b(fb);
  float fc = float(bf_a);
  float fd = float(bf_b); 

  assert(testRelativeAccuracy(fa, bf_a));
  assert(testRelativeAccuracy(fb, bf_b));

  assert(testRelativeAccuracy(fc + fd, bf_a + bf_b));
  //when checked as above for add, operation sub fails on GPU 
  assert(hip_bfloat16(fc - fd) == (bf_a - bf_b));
  assert(testRelativeAccuracy(fc * fd, bf_a * bf_b));
  assert(testRelativeAccuracy(fc / fd, bf_a / bf_b));
 
  hip_bfloat16 bf_opNegate = -bf_a;
  assert(bf_opNegate == -bf_a);

  hip_bfloat16 bf_x;
  bf_x = bf_a;
  bf_x++;
  bf_x--;
  ++bf_x;
  --bf_x;
  //hip_bfloat16 is converted to float and then inc/decremented, hence check with reduced precision 
  assert(testRelativeAccuracy(bf_x,bf_a));

  bf_x = bf_a;
  bf_x += bf_b;
  assert(bf_x == (bf_a + bf_b));
  bf_x = bf_a;
  bf_x -= bf_b;
  assert(bf_x == (bf_a - bf_b));
  bf_x = bf_a;
  bf_x *= bf_b;
  assert(bf_x == (bf_a * bf_b));
  bf_x = bf_a;
  bf_x /= bf_b;
  assert(bf_x == (bf_a / bf_b));

  hip_bfloat16 bf_rounded = hip_bfloat16::round_to_bfloat16(fa);
  if (isnan(bf_rounded)) {
    assert(isnan(bf_rounded) || isinf(bf_rounded));
  }
}  

__global__ void testOperationsGPU(float* d_a, float* d_b)
{
  int id = threadIdx.x;
  if (id > SIZE) return;
  float &a = d_a[id];
  float &b = d_b[id];
  testOperations(a, b);
}

int main(){
  float *h_fa, *h_fb;
  float *d_fa, *d_fb;

  h_fa = new float[SIZE];
  h_fb = new float[SIZE];
  for (int i = 0; i < SIZE; i++) {
    h_fa[i] = getRandomFloat();
    h_fb[i] = getRandomFloat();
    testOperations(h_fa[i], h_fb[i]);
  }
  cout<<"Host bfloat16 Operations Successful!!"<<endl;
  hipMalloc(&d_fa, sizeof(float) * SIZE);
  hipMalloc(&d_fb, sizeof(float) * SIZE);

  hipMemcpy(d_fa, h_fa, sizeof(float) * SIZE, hipMemcpyHostToDevice);
  hipMemcpy(d_fb, h_fb, sizeof(float) * SIZE, hipMemcpyHostToDevice);

  hipLaunchKernelGGL(testOperationsGPU, 1, SIZE, 0, 0, d_fa, d_fb);
  hipDeviceSynchronize();
  cout<<"Device bfloat16 Operations Successful!!"<<endl; 

  delete[] h_fa;
  delete[] h_fb;
  hipFree(d_fa);
  hipFree(d_fb);
  passed();
  return 1;
}