TritonData.cc

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#include "larrecodnn/ImagePatternAlgs/NuSonic/Triton/TritonData.h"
#include "larrecodnn/ImagePatternAlgs/NuSonic/Triton/triton_utils.h"
#include "messagefacility/MessageLogger/MessageLogger.h"

#include <cstring>
#include <sstream>

namespace ni = triton::common;
namespace nic = triton::client;

namespace lartriton {

  //dims: kept constant, represents config.pbtxt parameters of model (converted from google::protobuf::RepeatedField to vector)
  //fullShape: if batching is enabled, first entry is batch size; values can be modified
  //shape: view into fullShape, excluding batch size entry
  template <typename IO>
  TritonData<IO>::TritonData(const std::string& name,
                             const TritonData<IO>::TensorMetadata& model_info,
                             bool noBatch)
    : name_(name)
    , dims_(model_info.shape().begin(), model_info.shape().end())
    , noBatch_(noBatch)
    , batchSize_(0)
    , fullShape_(dims_)
    , shape_(fullShape_.begin() + (noBatch_ ? 0 : 1), fullShape_.end())
    , variableDims_(anyNeg(shape_))
    , productDims_(variableDims_ ? -1 : dimProduct(shape_))
    , dname_(model_info.datatype())
    , dtype_(ni::ProtocolStringToDataType(dname_))
    , byteSize_(ni::GetDataTypeByteSize(dtype_))
  {
    //create input or output object
    IO* iotmp;
    createObject(&iotmp);
    data_.reset(iotmp);
  }

  template <>
  void TritonInputData::createObject(nic::InferInput** ioptr) const
  {
    nic::InferInput::Create(ioptr, name_, fullShape_, dname_);
  }

  template <>
  void TritonOutputData::createObject(nic::InferRequestedOutput** ioptr) const
  {
    nic::InferRequestedOutput::Create(ioptr, name_);
  }

  //setters
  template <typename IO>
  bool TritonData<IO>::setShape(const TritonData<IO>::ShapeType& newShape, bool canThrow)
  {
    bool result = true;
    for (unsigned i = 0; i < newShape.size(); ++i) {
      result &= setShape(i, newShape[i], canThrow);
    }
    return result;
  }

  template <typename IO>
  bool TritonData<IO>::setShape(unsigned loc, int64_t val, bool canThrow)
  {
    std::stringstream msg;
    unsigned full_loc = loc + (noBatch_ ? 0 : 1);

    //check boundary
    if (full_loc >= fullShape_.size()) {
      msg << name_ << " setShape(): dimension " << full_loc << " out of bounds ("
          << fullShape_.size() << ")";
      if (canThrow)
        throw cet::exception("TritonDataError") << msg.str();
      else {
        MF_LOG_WARNING("TritonDataWarning") << msg.str();
        return false;
      }
    }

    if (val != fullShape_[full_loc]) {
      if (dims_[full_loc] == -1) {
        fullShape_[full_loc] = val;
        return true;
      }
      else {
        msg << name_ << " setShape(): attempt to change value of non-variable shape dimension "
            << loc;
        if (canThrow)
          throw cet::exception("TritonDataError") << msg.str();
        else {
          MF_LOG_WARNING("TritonDataError") << msg.str();
          return false;
        }
      }
    }

    return true;
  }

  template <typename IO>
  void TritonData<IO>::setBatchSize(unsigned bsize)
  {
    batchSize_ = bsize;
    if (!noBatch_) fullShape_[0] = batchSize_;
  }

  //io accessors

  template <>
  template <typename DT>
  TritonOutput<DT> TritonOutputData::fromServer() const
  {
    if (!result_) {
      throw cet::exception("TritonDataError") << name_ << " output(): missing result";
    }

    if (byteSize_ != sizeof(DT)) {
      throw cet::exception("TritonDataError")
        << name_ << " output(): inconsistent byte size " << sizeof(DT) << " (should be "
        << byteSize_ << " for " << dname_ << ")";
    }

    uint64_t nOutput = sizeShape();
    TritonOutput<DT> dataOut;
    const uint8_t* r0;
    size_t contentByteSize;
    size_t expectedContentByteSize = nOutput * byteSize_ * batchSize_;
    triton_utils::throwIfError(result_->RawData(name_, &r0, &contentByteSize),
                               "output(): unable to get raw");
    if (contentByteSize != expectedContentByteSize) {
      throw cet::exception("TritonDataError")
        << name_ << " output(): unexpected content byte size " << contentByteSize << " (expected "
        << expectedContentByteSize << ")";
    }

    const DT* r1 = reinterpret_cast<const DT*>(r0);
    dataOut.reserve(batchSize_);
    for (unsigned i0 = 0; i0 < batchSize_; ++i0) {
      auto offset = i0 * nOutput;
      dataOut.emplace_back(r1 + offset, r1 + offset + nOutput);
    }

    return dataOut;
  }

  template <>
  void TritonInputData::reset()
  {
    data_->Reset();
    holder_.reset();
  }

  template <>
  void TritonOutputData::reset()
  {
    result_.reset();
  }

  //explicit template instantiation declarations
  template class TritonData<nic::InferInput>;
  template class TritonData<nic::InferRequestedOutput>;

  template void TritonInputData::toServer(std::shared_ptr<TritonInput<float>> data_in);
  template void TritonInputData::toServer(std::shared_ptr<TritonInput<int64_t>> data_in);

  template TritonOutput<float> TritonOutputData::fromServer() const;

}