File size: 4,625 Bytes
277dba7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 | #include <armnnDeserializer/IDeserializer.hpp>
#include <armnn/IRuntime.hpp>
#include <cstdint>
#include <fstream>
#include <iostream>
#include <iterator>
#include <string>
#include <vector>
void PrintOutputBinding(
const armnnDeserializer::IDeserializer& deserializer,
const std::string& name)
{
const armnnDeserializer::BindingPointInfo binding =
deserializer.GetNetworkOutputBindingInfo(0, name);
const armnn::TensorShape& shape = binding.m_TensorInfo.GetShape();
std::cout << name << " binding=" << binding.m_BindingId << " shape=[";
for (unsigned int i = 0; i < shape.GetNumDimensions(); ++i)
{
if (i != 0)
{
std::cout << ",";
}
std::cout << shape[i];
}
std::cout << "] elements=" << binding.m_TensorInfo.GetNumElements() << "\n";
}
void PrintRuntimeOutput(
const armnn::IRuntime& runtime,
armnn::NetworkId networkId,
armnn::LayerBindingId bindingId)
{
const armnn::TensorInfo& info =
runtime.GetOutputTensorInfo(networkId, bindingId);
const armnn::TensorShape& shape = info.GetShape();
std::cout << "runtime output " << bindingId << " shape=[";
for (unsigned int i = 0; i < shape.GetNumDimensions(); ++i)
{
if (i != 0)
{
std::cout << ",";
}
std::cout << shape[i];
}
std::cout << "] elements=" << info.GetNumElements() << "\n";
}
int main(int argc, char** argv)
{
if (argc != 2)
{
std::cerr << "usage: " << argv[0] << " MODEL.armnn\n";
return 2;
}
std::ifstream input(argv[1], std::ios::binary);
if (!input)
{
std::cerr << "could not open " << argv[1] << "\n";
return 2;
}
std::vector<uint8_t> bytes(
(std::istreambuf_iterator<char>(input)),
std::istreambuf_iterator<char>());
try
{
auto deserializer = armnnDeserializer::IDeserializer::Create();
auto network = deserializer->CreateNetworkFromBinary(bytes);
std::cout << "loaded " << bytes.size() << " bytes\n";
PrintOutputBinding(*deserializer, "output-0");
PrintOutputBinding(*deserializer, "output-1");
auto runtime = armnn::IRuntime::Create(armnn::IRuntime::CreationOptions());
auto optimized = armnn::Optimize(
*network, {armnn::Compute::CpuRef}, runtime->GetDeviceSpec());
if (!optimized)
{
std::cerr << "optimization failed\n";
return 1;
}
armnn::NetworkId networkId = -1;
std::string errorMessage;
if (runtime->LoadNetwork(networkId, std::move(optimized), errorMessage)
!= armnn::Status::Success)
{
std::cerr << "runtime load failed: " << errorMessage << "\n";
return 1;
}
PrintRuntimeOutput(*runtime, networkId, 0);
PrintRuntimeOutput(*runtime, networkId, 1);
auto inputBinding =
deserializer->GetNetworkInputBindingInfo(0, "input");
auto output0Binding =
deserializer->GetNetworkOutputBindingInfo(0, "output-0");
auto output1Binding =
deserializer->GetNetworkOutputBindingInfo(0, "output-1");
inputBinding.m_TensorInfo.SetConstant(true);
std::vector<float> inputData{1.0F, 2.0F, 3.0F, 4.0F};
std::vector<float> output0Data(
output0Binding.m_TensorInfo.GetNumElements());
std::vector<float> output1Data(
output1Binding.m_TensorInfo.GetNumElements());
armnn::InputTensors inputTensors{{
inputBinding.m_BindingId,
armnn::ConstTensor(inputBinding.m_TensorInfo, inputData.data())
}};
armnn::OutputTensors outputTensors{
{
output0Binding.m_BindingId,
armnn::Tensor(output0Binding.m_TensorInfo, output0Data.data())
},
{
output1Binding.m_BindingId,
armnn::Tensor(output1Binding.m_TensorInfo, output1Data.data())
}
};
const armnn::Status enqueueStatus =
runtime->EnqueueWorkload(networkId, inputTensors, outputTensors);
std::cout << "enqueue status="
<< (enqueueStatus == armnn::Status::Success ? "success" : "failure")
<< "\n";
std::cout << "allocated output elements="
<< output0Data.size() << "," << output1Data.size() << "\n";
return network ? 0 : 1;
}
catch (const std::exception& error)
{
std::cerr << "load failed: " << error.what() << "\n";
return 1;
}
}
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