// and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster
// than separately calling it because if the existing op has the same
// `raw_device_name`, it skips parsing and just leave as it is.
TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset,
                                       const char* op_or_function_name,
                                       const char* raw_device_name,

            },
            nullptr),
        TF_DeleteTensor);
    // TODO(allenl): Here and when executing regular operations, we could hold
    // on to one TFE_Op per device and just call TFE_ResetOp to avoid parsing
    // device names repeatedly.
    std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> const_op(
        TFE_NewOp(context, "Const", status), TFE_DeleteOp);
    if (TF_GetCode(status) != TF_OK) return nullptr;

// TF_Version returns a string describing version information of the
// TensorFlow library. TensorFlow uses semantic versioning.
TF_CAPI_EXPORT extern const char* TF_Version(void);

// Parsing a serialized TensorProto into a TF_Tensor.
TF_CAPI_EXPORT extern void TF_TensorFromProto(const TF_Buffer* from,
                                              TF_Tensor* to, TF_Status* status);

///
/// To ensure ABI and API compatibility, we have out-of-bounds data that is used
/// by both core TensorFlow and the plugin at load time. We don't include this
/// data in the structures here to prevent cases when padding/packing enabled by
/// different compiler options breaks compatibility. For more details about how
/// this is used, please consult next sections. Here we just wrap these tables