bls_utils.h

// Copyright 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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#include <future>
#include <sstream>
#include "triton/backend/backend_common.h"
#include "triton/core/tritonbackend.h"
#include "triton/core/tritonserver.h"

namespace triton { namespace backend { namespace bls {

#define THROW_IF_TRITON_ERROR(X)                                       \
  do {                                                                 \
    TRITONSERVER_Error* tie_err__ = (X);                               \
    if (tie_err__ != nullptr) {                                        \
      throw BLSBackendException(TRITONSERVER_ErrorMessage(tie_err__)); \
    }                                                                  \
  } while (false)

//
// BLSBackendException
//
// Exception thrown if error occurs in BLSBackend.
//
struct BLSBackendException : std::exception {
  BLSBackendException(const std::string& message) : message_(message) {}

  const char* what() const throw() { return message_.c_str(); }

  std::string message_;
};

// Performs the allocations of output tensors.
TRITONSERVER_Error* CPUAllocator(
    TRITONSERVER_ResponseAllocator* allocator, const char* tensor_name,
    size_t byte_size, TRITONSERVER_MemoryType preferred_memory_type,
    int64_t preferred_memory_type_id, void* userp, void** buffer,
    void** buffer_userp, TRITONSERVER_MemoryType* actual_memory_type,
    int64_t* actual_memory_type_id);

// Callback functions for server inference.
TRITONSERVER_Error* ResponseRelease(
    TRITONSERVER_ResponseAllocator* allocator, void* buffer, void* buffer_userp,
    size_t byte_size, TRITONSERVER_MemoryType memory_type,
    int64_t memory_type_id);
void InferRequestComplete(
    TRITONSERVER_InferenceRequest* request, const uint32_t flags, void* userp);
void InferResponseComplete(
    TRITONSERVER_InferenceResponse* response, const uint32_t flags,
    void* userp);

//
// ModelExecutor
//
// Execute inference request on a model.
//
class ModelExecutor {
 public:
  ModelExecutor(TRITONSERVER_Server* server);

  // Performs async inference request.
  TRITONSERVER_Error* AsyncExecute(
      TRITONSERVER_InferenceRequest* irequest,
      std::future<TRITONSERVER_InferenceResponse*>* future);

 private:
  // The server object that encapsulates all the functionality of the Triton
  // server and allows access to the Triton server API.
  TRITONSERVER_Server* server_;

  // The allocator object that will be used for allocating output tensors.
  TRITONSERVER_ResponseAllocator* allocator_;
};

}}}  // namespace triton::backend::bls