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#pragma once

#include "status.h"
#include "triton/common/model_config.h"

namespace triton { namespace core {

/// Get a key's string value from a backend configuration.
Status BackendConfiguration(
    const triton::common::BackendCmdlineConfig& config, const std::string& key,
    std::string* val);

/// Convert a backend configuration string  value into a double.
Status BackendConfigurationParseStringToDouble(
    const std::string& str, double* val);

/// Convert a backend configuration string  value into a bool.
Status BackendConfigurationParseStringToBool(const std::string& str, bool* val);

/// Get the global backends directory from the backend configuration.
Status BackendConfigurationGlobalBackendsDirectory(
    const triton::common::BackendCmdlineConfigMap& config_map,
    std::string* dir);

/// Get the minimum compute capability from the backend configuration.
Status BackendConfigurationMinComputeCapability(
    const triton::common::BackendCmdlineConfigMap& config_map, double* mcc);

/// Get the model configuration auto-complete setting from the backend
/// configuration.
Status BackendConfigurationAutoCompleteConfig(
    const triton::common::BackendCmdlineConfigMap& config_map, bool* acc);

/// Convert a backend name to the specialized version of that name
/// based on the backend configuration. For example, "tensorflow" will
/// convert to either "tensorflow1" or "tensorflow2" depending on how
/// tritonserver is run.
Status BackendConfigurationSpecializeBackendName(
    const triton::common::BackendCmdlineConfigMap& config_map,
    const std::string& backend_name, std::string* specialized_name);

/// Get GPU memory limit fraction for model loading
/// from the backend configuration.
Status BackendConfigurationModelLoadGpuFraction(
    const triton::common::BackendCmdlineConfigMap& config_map,
    const int device_id, double* memory_limit);

}}  // namespace triton::core
