Main compliance testing support for MUL

Update verify ULP mode to allow fractions (e.g. 0.5).
Update pseudo generator to accept ranges.
Fix up pseudo random distribution based on ranges.

Change-Id: I9168c5f7d37722678c0f1f9e906953c8cec367b1
Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>

1 files changed, 51 insertions, 11 deletions

diff --git a/reference_model/src/generate/generate_pseudo_random.cc b/reference_model/src/generate/generate_pseudo_random.cc
index 858a4b2..f234796 100644
--- a/reference_model/src/generate/generate_pseudo_random.cc
+++ b/reference_model/src/generate/generate_pseudo_random.cc
@@ -40,40 +40,76 @@ public:
         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);
-        _unidis = std::uniform_real_distribution<FP>(min, max);
 
-        // Piecewise Constant distribution
-        const std::array<double, 7> intervals{ min, min + 1000, -1000.0, 0.0, 1000.0, max - 1000, 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());
+        setDistribution(min, max);
     }
 
-    FP getRandomUniformFloat()
+    PseudoRandomGeneratorFloat(uint64_t seed, FP min, FP max)
+        : _gen(seed)
     {
-        return _unidis(_gen);
+        setDistribution(min, max);
     }
 
-    FP getRandomPWCFloat()
+    FP getRandomFloat()
     {
-        return _pwcdis(_gen);
+        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;
 };
 
 bool generateFP32(const TosaReference::GenerateConfig& cfg, void* data, size_t size)
 {
     const TosaReference::PseudoRandomInfo& prinfo = cfg.pseudoRandomInfo;
-    PseudoRandomGeneratorFloat<float> generator(prinfo.rngSeed);
+
+    PseudoRandomGeneratorFloat<float>* generator;
+
+    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);
+    }
 
     float* a     = reinterpret_cast<float*>(data);
     const auto T = TosaReference::numElementsFromShape(cfg.shape);
     for (auto t = 0; t < T; ++t)
     {
-        a[t] = generator.getRandomPWCFloat();
+        a[t] = generator->getRandomFloat();
     }
     return true;
 }
@@ -90,6 +126,10 @@ bool generatePseudoRandom(const GenerateConfig& cfg, void* data, size_t size)
         WARNING("[Generator][PR] Unknown operator.");
         return false;
     }
+    if (cfg.pseudoRandomInfo.range.size() != 0 || cfg.pseudoRandomInfo.range.size() != 2)
+    {
+        WARNING("[Generator][PR] Invalid range.");
+    }
 
     switch (cfg.dataType)
     {