resource.cpp

#include "common/inner_common.h"
#include "framework/resource.h"
#include "framework/infer.h"

namespace baidu {
namespace paddle_serving {
namespace predictor {

using configure::ResourceConf;

// __thread bool p_thread_initialized = false;

static void dynamic_resource_deleter(void* d) {
#if 1
    LOG(INFO) << "dynamic_resource_delete on " << bthread_self();
#endif
    delete static_cast<DynamicResource*>(d);
}

DynamicResource::DynamicResource() {}

DynamicResource::~DynamicResource() {}

int DynamicResource::initialize() {
    return 0;
}

int DynamicResource::clear() {
    return 0;
}

int Resource::initialize(const std::string& path, const std::string& file) {
    ResourceConf resource_conf;
    if (configure::read_proto_conf(path, file, &resource_conf) != 0) {
        LOG(ERROR) << "Failed initialize resource from: "
            << path << "/" << file;
        return -1;
    }

    // mempool
    if (MempoolWrapper::instance().initialize() != 0) {
        LOG(ERROR) << "Failed proc initialized mempool wrapper"; 
        return -1;
    }
    LOG(WARNING) << "Successfully proc initialized mempool wrapper";

    if (FLAGS_enable_model_toolkit) {
        int err = 0;
        std::string model_toolkit_path = resource_conf.model_toolkit_path();
        if (err != 0) {
            LOG(ERROR) << "read model_toolkit_path failed, path["
                    << path << "], file[" << file << "]";
            return -1;
        }
        std::string model_toolkit_file = resource_conf.model_toolkit_file();
        if (err != 0) {
            LOG(ERROR) << "read model_toolkit_file failed, path["
                    << path << "], file[" << file << "]";
            return -1;
        }
        if (InferManager::instance().proc_initialize(
                    model_toolkit_path.c_str(), model_toolkit_file.c_str()) != 0) {
            LOG(ERROR) << "failed proc initialize modeltoolkit, config: "
                << model_toolkit_path << "/" << model_toolkit_file;
            return -1;
        }
    }

    if (THREAD_KEY_CREATE(&_tls_bspec_key, dynamic_resource_deleter) != 0) {
        LOG(ERROR) << "unable to create tls_bthread_key of thrd_data";
        return -1;
    }
    THREAD_SETSPECIFIC(_tls_bspec_key, NULL);
    return 0;
}

int Resource::thread_initialize() {
    // mempool
    if (MempoolWrapper::instance().thread_initialize() != 0) {
        LOG(ERROR) << "Failed thread initialized mempool wrapper"; 
        return -1;
    }
    LOG(WARNING) << "Successfully thread initialized mempool wrapper";

    // infer manager
    if (FLAGS_enable_model_toolkit && InferManager::instance().thrd_initialize() != 0) {
        LOG(ERROR) << "Failed thrd initialized infer manager"; 
        return -1;
    }

    DynamicResource* p_dynamic_resource = (DynamicResource*) THREAD_GETSPECIFIC(_tls_bspec_key);
    if (p_dynamic_resource == NULL) {
        p_dynamic_resource = new (std::nothrow) DynamicResource;
        if (p_dynamic_resource == NULL) {
            LOG(ERROR) << "failed to create tls DynamicResource";
            return -1;
        }
        if (p_dynamic_resource->initialize() != 0) {
            LOG(ERROR) << "DynamicResource initialize failed.";
            delete p_dynamic_resource;
            p_dynamic_resource = NULL;
            return -1;
        }

        if (THREAD_SETSPECIFIC(_tls_bspec_key, p_dynamic_resource) != 0) {
            LOG(ERROR) << "unable to set tls DynamicResource";
            delete p_dynamic_resource;
            p_dynamic_resource = NULL;
            return -1;
        }

    }
#if 0
    LOG(INFO) << "Successfully thread initialized dynamic resource";
#else
    LOG(INFO) << bthread_self() << ": Successfully thread initialized dynamic resource " << p_dynamic_resource;

#endif
    return 0;
}

int Resource::thread_clear() {
    // mempool
    if (MempoolWrapper::instance().thread_clear() != 0) {
        LOG(ERROR) << "Failed thread clear mempool wrapper"; 
        return -1;
    }

    // infer manager
    if (FLAGS_enable_model_toolkit && InferManager::instance().thrd_clear() != 0) {
        LOG(ERROR) << "Failed thrd clear infer manager"; 
        return -1;
    }

    DynamicResource* p_dynamic_resource = (DynamicResource*) THREAD_GETSPECIFIC(_tls_bspec_key);
    if (p_dynamic_resource == NULL) {
#if 0
        LOG(ERROR) << "tls dynamic resource shouldn't be null after thread_initialize"; 
#else
        LOG(ERROR) << bthread_self() << ": tls dynamic resource shouldn't be null after thread_initialize"; 
#endif
        return -1;
    }
    if (p_dynamic_resource->clear() != 0) {
        LOG(ERROR) << "Failed to invoke dynamic resource clear"; 
        return -1;
    }

     LOG(INFO) << bthread_self() << "Resource::thread_clear success";
    // ...
    return 0;
}

int Resource::reload() {
    if (FLAGS_enable_model_toolkit && InferManager::instance().reload() != 0) {
        LOG(ERROR) << "Failed reload infer manager"; 
        return -1;
    }
    
    // other resource reload here...
    return 0;
}

int Resource::finalize() {
    if (FLAGS_enable_model_toolkit && InferManager::instance().proc_finalize() != 0) {
        LOG(ERROR) << "Failed proc finalize infer manager";
        return -1;
    }

    THREAD_KEY_DELETE(_tls_bspec_key);

    return 0;
}

} // predictor
} // paddle_serving
} // baidu