TF_ASSERT_OK_AND_ASSIGN(auto stream, executor->CreateStream());

  se::DeviceMemoryBase gpu_dst{device_tensor.data(), 4 * sizeof(float)};
  xla::Shape shape;
  TF_ASSERT_OK(TensorShapeToXLAShape(DT_FLOAT, TensorShape({2, 2}), &shape));

  // Copy the cpu_tensor to the GPU first before trying to copy it back.
  TF_ASSERT_OK(
      stream->Memcpy(&gpu_dst, origin_cpu_tensor.data(), gpu_dst.size()));

absl::StatusOr<xla::Shape> TpuShapeRepresentation(
    const TensorShape& shape, DataType type, bool use_fast_memory,
    XlaLayoutPreference layout_preference) {
  xla::Shape xla_shape;
  TF_RETURN_IF_ERROR(
      tensorflow::TensorShapeToXLAShape(type, shape, &xla_shape));
  ApiConverter::StackHelper<XLA_Shape> se_shape(xla_shape);
  ApiConverter::StackHelper<XLA_Shape> tpu_shape;
  StatusHelper status;

Status DefaultPaddedShapeFn(const Tensor& tensor, xla::Shape* shape) {
  const tensorflow::XlaTensor* xla_tensor =
      tensorflow::XlaTensor::FromTensor(&tensor);
  if (xla_tensor == nullptr) {
    return TensorShapeToXLAShape(tensor.dtype(), tensor.shape(), shape);
  }

  const xla::ShapedBuffer& shaped_buffer = xla_tensor->shaped_buffer();
  *shape = shaped_buffer.on_device_shape();
  return absl::OkStatus();
}

            std::initializer_list<se::DeviceMemoryBase>{dmem},
            definition_events, /*on_delete_callback=*/[]() {});
        xla::Shape device_shape;
        TF_RETURN_IF_ERROR(TensorShapeToXLAShape(
            tensor->dtype(), tensor->shape(), &device_shape));
        std::unique_ptr<xla::PjRtBuffer> pjrt_buffer =
            std::make_unique<xla::PjRtStreamExecutorBuffer>(

    TF_RETURN_IF_ERROR(tensorflow::ConvertToTensor(
        llvm::dyn_cast<TF::ConstOp>(fold_results[0].getDefiningOp()).getValue(),
        &tensor));
    xla::Shape xla_shape;
    TF_RETURN_IF_ERROR(tensorflow::TensorShapeToXLAShape(
        tensor.dtype(), tensor.shape(), &xla_shape));
    xla::PjRtClient::HostBufferSemantics host_buffer_semantics =
        xla::PjRtClient::HostBufferSemantics::kImmutableUntilTransferCompletes;