[Memory Leak] at Tensor - activate

[DonghakPark]

At Tensor.cpp

void Tensor::activate() {

  NNTR_THROW_IF(!is_virtual, std::invalid_argument)
    << "non-virtual tensor cannot call activate()";
#if defined(_WIN32)
  NNTR_THROW_IF(true, std::invalid_argument)
    << "[Error/VirtualTensor] virtual tensor is not supported on Windows";
#else

  auto file_offset = getFileOffset();
  size_t off = (file_offset / 4096) * 4096;
  size_t diff = file_offset - off;
  size_t len = getMemoryBytes() + diff;

  mapped_ptr = mmap(NULL, len, PROT_READ, MAP_PRIVATE, this->fd, off);
#ifdef __ANDROID__
  madvise(mapped_ptr, len, MADV_WILLNEED);
#endif
  if (mapped_ptr == MAP_FAILED) {
    std::cerr << "[activate] mmap failed: " << strerror(errno) << std::endl;
  }
  itensor_->activate((void *)&((uint8_t *)mapped_ptr)[diff]);
#endif
}

void Tensor::deactivate() {

  NNTR_THROW_IF(!is_virtual, std::invalid_argument)
    << "non-virtual tensor cannot call deactivate()";
#if defined(_WIN32)
  NNTR_THROW_IF(true, std::invalid_argument)
    << "[Error/VirtualTensor] virtual tensor is not supported on Windows";
#else

  if (mapped_ptr == nullptr) {
    return;
  };

  auto file_offset = getFileOffset();
  size_t off = (file_offset / 4096) * 4096;
  size_t diff = file_offset - off;
  size_t len = getMemoryBytes() + diff;

  auto ret_munmap = munmap((void *)mapped_ptr, len);
  const size_t error_buflen = 100;
  char error_buf[error_buflen];
  NNTR_THROW_IF(ret_munmap == -1, std::runtime_error)
    << "[deactivate] munmap failed: "
    << SAFE_STRERROR(errno, error_buf, error_buflen);

  mapped_ptr = nullptr;
  itensor_->deactivate();
#endif
}

we didn't implement auto release mapped_ptr

i will fix & close this issue