finalized merge

1 files changed, 10 insertions, 3 deletions

diff --git a/klm/lm/quantize.hh b/klm/lm/quantize.hh
index 0b71d14a..4cf4236e 100644
--- a/klm/lm/quantize.hh
+++ b/klm/lm/quantize.hh
@@ -1,9 +1,9 @@
 #ifndef LM_QUANTIZE_H__
 #define LM_QUANTIZE_H__
 
-#include "lm/binary_format.hh" // for ModelType
 #include "lm/blank.hh"
 #include "lm/config.hh"
+#include "lm/model_type.hh"
 #include "util/bit_packing.hh"
 
 #include <algorithm>
@@ -36,6 +36,9 @@ class DontQuantize {
         prob = util::ReadNonPositiveFloat31(base, bit_offset);
         backoff = util::ReadFloat32(base, bit_offset + 31);
       }
+      void ReadProb(const void *base, uint64_t bit_offset, float &prob) const {
+        prob = util::ReadNonPositiveFloat31(base, bit_offset);
+      }
       void ReadBackoff(const void *base, uint64_t bit_offset, float &backoff) const {
         backoff = util::ReadFloat32(base, bit_offset + 31);
       }
@@ -77,7 +80,7 @@ class SeparatelyQuantize {
         Bins(uint8_t bits, const float *const begin) : begin_(begin), end_(begin_ + (1ULL << bits)), bits_(bits), mask_((1ULL << bits) - 1) {}
 
         uint64_t EncodeProb(float value) const {
-          return(value == kBlankProb ? kBlankProbQuant : Encode(value, 1));
+          return Encode(value, 0);
         }
 
         uint64_t EncodeBackoff(float value) const {
@@ -132,6 +135,10 @@ class SeparatelyQuantize {
               (prob_.EncodeProb(prob) << backoff_.Bits()) | backoff_.EncodeBackoff(backoff));
         }
 
+        void ReadProb(const void *base, uint64_t bit_offset, float &prob) const {
+          prob = prob_.Decode(util::ReadInt25(base, bit_offset + backoff_.Bits(), prob_.Bits(), prob_.Mask()));
+        }
+
         void Read(const void *base, uint64_t bit_offset, float &prob, float &backoff) const {
           uint64_t both = util::ReadInt57(base, bit_offset, total_bits_, total_mask_);
           prob = prob_.Decode(both >> backoff_.Bits());
@@ -179,7 +186,7 @@ class SeparatelyQuantize {
     void SetupMemory(void *start, const Config &config);
 
     static const bool kTrain = true;
-    // Assumes kBlankProb is removed from prob and 0.0 is removed from backoff.  
+    // Assumes 0.0 is removed from backoff.  
     void Train(uint8_t order, std::vector<float> &prob, std::vector<float> &backoff);
     // Train just probabilities (for longest order).
     void TrainProb(uint8_t order, std::vector<float> &prob);