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volk_gnsssdr: improve random integer generation

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This commit is contained in:
Carles Fernandez 2023-11-01 09:17:11 +01:00
parent 84b5cfe004
commit 3ecf1c4ef4
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GPG Key ID: 4C583C52B0C3877D
1 changed files with 75 additions and 40 deletions
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115
src/algorithms/libs/volk_gnsssdr_module/volk_gnsssdr/lib/qa_utils.cc
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@ -33,59 +33,94 @@ void random_values(T *buf, unsigned int n, std::default_random_engine &e1)
void load_random_data(void *data, volk_gnsssdr_type_t type, unsigned int n) void load_random_data(void *data, volk_gnsssdr_type_t type, unsigned int n)
{ {
std::random_device r; std::random_device rnd_device;
std::default_random_engine e1(r()); std::default_random_engine rnd_engine(rnd_device());
std::default_random_engine e2(r());
if (type.is_complex) n *= 2; if (type.is_complex) n *= 2;
if (type.is_float) if (type.is_float)
{ {
if (type.size == 8) if (type.size == 8)
random_values<double>((double *)data, n, e1); random_values<double>((double *)data, n, rnd_engine);
else else
random_values<float>((float *)data, n, e1); random_values<float>((float *)data, n, rnd_engine);
} }
else else
{ {
float int_max = float(uint64_t(2) << (type.size * 8)); switch (type.size)
if (type.is_signed) int_max /= 2.0;
std::uniform_real_distribution<float> uniform_dist(-int_max, int_max);
for (unsigned int i = 0; i < n; i++)
{ {
float scaled_rand = uniform_dist(e2); case 8:
if (type.is_signed)
switch (type.size)
{ {
case 8: std::uniform_int_distribution<int64_t> uniform_dist(
if (type.is_signed) std::numeric_limits<int64_t>::min(),
((int64_t *)data)[i] = (int64_t)scaled_rand; std::numeric_limits<int64_t>::max());
else for (unsigned int i = 0; i < n; i++)
((uint64_t *)data)[i] = (uint64_t)scaled_rand; ((int64_t *)data)[i] = uniform_dist(rnd_engine);
break;
case 4:
if (type.is_signed)
((int32_t *)data)[i] = (int32_t)scaled_rand;
else
((uint32_t *)data)[i] = (uint32_t)scaled_rand;
break;
case 2:
// 16 bit multiplication saturates very fast
// we produce here only 3 bits input range
if (type.is_signed)
((int16_t *)data)[i] = (int16_t)((int16_t)scaled_rand % 8);
else
((uint16_t *)data)[i] = (uint16_t)(int16_t)((int16_t)scaled_rand % 8);
break;
case 1:
if (type.is_signed)
((int8_t *)data)[i] = (int8_t)scaled_rand;
else
((uint8_t *)data)[i] = (uint8_t)scaled_rand;
break;
default:
throw "load_random_data: no support for data size > 8 or < 1"; // no shenanigans here
} }
else
{
std::uniform_int_distribution<uint64_t> uniform_dist(
std::numeric_limits<uint64_t>::min(),
std::numeric_limits<uint64_t>::max());
for (unsigned int i = 0; i < n; i++)
((uint64_t *)data)[i] = uniform_dist(rnd_engine);
}
break;
case 4:
if (type.is_signed)
{
std::uniform_int_distribution<int32_t> uniform_dist(
std::numeric_limits<int32_t>::min(),
std::numeric_limits<int32_t>::max());
for (unsigned int i = 0; i < n; i++)
((int32_t *)data)[i] = uniform_dist(rnd_engine);
}
else
{
std::uniform_int_distribution<uint32_t> uniform_dist(
std::numeric_limits<uint32_t>::min(),
std::numeric_limits<uint32_t>::max());
for (unsigned int i = 0; i < n; i++)
((uint32_t *)data)[i] = uniform_dist(rnd_engine);
}
break;
case 2:
if (type.is_signed)
{
std::uniform_int_distribution<int16_t> uniform_dist(-7, 7);
for (unsigned int i = 0; i < n; i++)
((int16_t *)data)[i] = uniform_dist(rnd_engine);
}
else
{
std::uniform_int_distribution<uint16_t> uniform_dist(
std::numeric_limits<uint16_t>::min(),
std::numeric_limits<uint16_t>::max());
for (unsigned int i = 0; i < n; i++)
((uint16_t *)data)[i] = uniform_dist(rnd_engine);
}
break;
case 1:
if (type.is_signed)
{
std::uniform_int_distribution<int16_t> uniform_dist(
std::numeric_limits<int8_t>::min(),
std::numeric_limits<int8_t>::max());
for (unsigned int i = 0; i < n; i++)
((int8_t *)data)[i] = uniform_dist(rnd_engine);
}
else
{
std::uniform_int_distribution<uint16_t> uniform_dist(
std::numeric_limits<uint8_t>::min(),
std::numeric_limits<uint8_t>::max());
for (unsigned int i = 0; i < n; i++)
((uint8_t *)data)[i] = uniform_dist(rnd_engine);
}
break;
default:
throw "load_random_data: no support for data size > 8 or < 1"; // no shenanigans here
} }
} }
} }