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// Copyright (c) 2023, ARM Limited.
//
// 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.
#include "generate.h"
#include "generate_utils.h"
#include "half.hpp"
#include <array>
#include <iterator>
#include <limits>
#include <numeric>
#include <random>
#include <string>
#include <type_traits>
#include <vector>
namespace
{
// Random generator
template <typename FP>
class PseudoRandomGeneratorFloat
{
public:
PseudoRandomGeneratorFloat(uint64_t seed)
: _gen(seed)
{
// Uniform real distribution generates real values in the range [a, b]
// and requires that b - a <= std::numeric_limits<FP>::max() so here
// we choose some arbitrary values that satisfy that condition.
constexpr auto min = std::numeric_limits<FP>::lowest() / 2;
constexpr auto max = std::numeric_limits<FP>::max() / 2;
static_assert(max <= std::numeric_limits<FP>::max() + min);
setDistribution(min, max);
}
PseudoRandomGeneratorFloat(uint64_t seed, FP min, FP max)
: _gen(seed)
{
setDistribution(min, max);
}
FP getRandomFloat()
{
if (_useUniform)
return _unidis(_gen);
else
return _pwcdis(_gen);
}
private:
void setDistribution(FP min, FP max)
{
_unidis = std::uniform_real_distribution<FP>(min, max);
// Piecewise Constant distribution for larger ranges
double range = std::abs(max - min);
double mid;
if (max == -min)
mid = 0.f;
else
mid = (range / 2) + min;
double segment = std::min<double>(1000.0, range / 5);
const std::array<double, 7> intervals{
min, min + segment, mid - segment, mid, mid + segment, max - segment, max
};
const std::array<double, 7> weights{ 1.0, 0.1, 1.0, 2.0, 1.0, 0.1, 1.0 };
_pwcdis = std::piecewise_constant_distribution<FP>(intervals.begin(), intervals.end(), weights.begin());
// Uniform distribution works well on smaller ranges
_useUniform = (range < 2000.0);
}
std::mt19937 _gen;
std::uniform_real_distribution<FP> _unidis;
std::piecewise_constant_distribution<FP> _pwcdis;
bool _useUniform;
};
template <typename DataType>
bool generateFP(const TosaReference::GenerateConfig& cfg, DataType* data, size_t size)
{
const TosaReference::PseudoRandomInfo& prinfo = cfg.pseudoRandomInfo;
PseudoRandomGeneratorFloat<float>* generator;
bool roundMode = prinfo.round;
if (prinfo.range.size() == 2)
{
const float min = std::stof(prinfo.range[0]);
const float max = std::stof(prinfo.range[1]);
generator = new PseudoRandomGeneratorFloat<float>(prinfo.rngSeed, min, max);
}
else
{
generator = new PseudoRandomGeneratorFloat<float>(prinfo.rngSeed);
}
const auto T = TosaReference::numElementsFromShape(cfg.shape);
const bool comparisonOp =
(cfg.opType == Op::Op_EQUAL) || (cfg.opType == Op::Op_GREATER_EQUAL) || (cfg.opType == Op::Op_GREATER);
for (auto t = 0; t < T; ++t)
{
data[t] = static_cast<DataType>(generator->getRandomFloat());
if (comparisonOp && (t % 4 == 0))
{
// Set every 4th value to 0 to enable better comparison testing
data[t] = static_cast<DataType>(0.f);
}
else if (roundMode)
{
data[t] = static_cast<DataType>(std::roundf(data[t]));
}
}
return true;
}
} // namespace
namespace TosaReference
{
bool generatePseudoRandom(const GenerateConfig& cfg, void* data, size_t size)
{
// Check we support the operator
if (cfg.opType == Op::Op_UNKNOWN)
{
WARNING("[Generator][PR] Unknown operator.");
return false;
}
if (cfg.pseudoRandomInfo.range.size() != 0 && cfg.pseudoRandomInfo.range.size() != 2)
{
WARNING("[Generator][PR] Invalid range");
return false;
}
switch (cfg.dataType)
{
case DType::DType_FP32: {
float* outData = reinterpret_cast<float*>(data);
return generateFP(cfg, outData, size);
}
case DType::DType_FP16: {
half_float::half* outData = reinterpret_cast<half_float::half*>(data);
return generateFP(cfg, outData, size);
}
default:
WARNING("[Generator][PR] Unsupported type.");
return false;
}
}
} // namespace TosaReference
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