diff options
Diffstat (limited to 'src/armnn/NetworkQuantizerUtils.cpp')
| -rw-r--r-- | src/armnn/NetworkQuantizerUtils.cpp | 28 |
1 files changed, 5 insertions, 23 deletions
diff --git a/src/armnn/NetworkQuantizerUtils.cpp b/src/armnn/NetworkQuantizerUtils.cpp index 551760f362..a6f9ebdc42 100644 --- a/src/armnn/NetworkQuantizerUtils.cpp +++ b/src/armnn/NetworkQuantizerUtils.cpp @@ -12,24 +12,6 @@ namespace armnn { -std::pair<float, int> ComputeQAsymmParams(int numBits, double min, double max) -{ - BOOST_ASSERT_MSG(min < max, "min >= max will result in invalid quantization."); - double highest = (1 << numBits) - 1; - - min = std::min(0.0, min); // min <= 0.0 - max = std::max(0.0, max); // max >= 0.0 - - // Assumes quantization range [0-highest] - double scale = (max-min) / highest; - double offset = -min / scale; - - // Clamp offset [0-highest] - offset = std::max(0.0, std::min(highest, offset)); - - return std::make_pair(static_cast<float>(scale), static_cast<int>(std::round(offset))); -} - ConstTensor CreateQuantizedConst(const ConstTensor& tensor, std::vector<uint8_t>& backing) { float scale = 0.0f; @@ -43,11 +25,11 @@ ConstTensor CreateQuantizedConst(const ConstTensor& tensor, std::vector<uint8_t> { case DataType::Float32: { - Quantize(static_cast<const float*>(tensor.GetMemoryArea()), - backing.data(), - backing.size(), - scale, - offset); + QuantizeConstant(static_cast<const float*>(tensor.GetMemoryArea()), + backing.data(), + backing.size(), + scale, + offset); } break; default: |