[Apache TVM Discuss] [Application] Irrespective of input same output iOS TVM model

[mallappa s via Apache TVM Discuss]

Hi @elvin-n  i have built a standalone iOS application 

For iOS CPU.

* sdk = “iphoneos”
* target = “llvm -mtriple=arm64-apple-darwin”

For iOS Metal:

* sdk = “iphoneos”
* target = “metal”
* target_host = “llvm -mtriple=arm64-apple-darwin”

And i used c++ to inference the TVM model 

// load module
    tvm::runtime::Module mod_syslib = 
tvm::runtime::Module::LoadFromFile(std_resourcePath);
    
    //load graph
    std::ifstream json_in(std_jsonPath);
    std::string json_data((std::istreambuf_iterator<char>(json_in)), 
std::istreambuf_iterator<char>());
    json_in.close();
    
    // get global function module for graph runtime
    auto tvm_graph_runtime_create = 
tvm::runtime::Registry::Get("tvm.graph_executor.create");
    tvm::runtime::Module mod = (*tvm_graph_runtime_create)(json_data, 
mod_syslib, device_type, device_id);
    this->m_handle = new tvm::runtime::Module(mod);
    
    //parameters needs to be TVMByteArray typr to indecate the binary data
    std::ifstream params_in(std_paramPath, std::ios::binary);
    std::string params_data((std::istreambuf_iterator<char>(params_in)), 
std::istreambuf_iterator<char>());
    params_in.close();
    TVMByteArray params;
    params.data = params_data.c_str();
    params.size = params_data.length();
    mod.GetFunction("load_params")(params);

    tvm::runtime::PackedFunc set_input = mod->GetFunction("set_input");
    set_input("input", m_gpuInput);

    tvm::runtime::PackedFunc run = mod->GetFunction("run");
    run();
    tvm::runtime::PackedFunc get_output = mod->GetFunction("get_output");





---
[Visit 
Topic](https://discuss.tvm.apache.org/t/irrespective-of-input-same-output-ios-tvm-model/10765/3)
 to respond.

You are receiving this because you enabled mailing list mode.

To unsubscribe from these emails, [click 
here](https://discuss.tvm.apache.org/email/unsubscribe/8159a5666f6746363d7df571b242d93033ce1c185c147e6cde950272d030d7a7).