188 lines
9.3 KiB
C++
188 lines
9.3 KiB
C++
/****************************************************************************
|
|
*
|
|
* Copyright (c) 2020 Vivante Corporation
|
|
*
|
|
* Permission is hereby granted, free of charge, to any person obtaining a
|
|
* copy of this software and associated documentation files (the "Software"),
|
|
* to deal in the Software without restriction, including without limitation
|
|
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
|
|
* and/or sell copies of the Software, and to permit persons to whom the
|
|
* Software is furnished to do so, subject to the following conditions:
|
|
*
|
|
* The above copyright notice and this permission notice shall be included in
|
|
* all copies or substantial portions of the Software.
|
|
*
|
|
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
|
|
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
|
|
* DEALINGS IN THE SOFTWARE.
|
|
*
|
|
*****************************************************************************/
|
|
#include <algorithm>
|
|
#include <iomanip>
|
|
#include <iostream>
|
|
#include <fstream>
|
|
#include <cstring>
|
|
#include <tuple>
|
|
#include <vector>
|
|
#include <assert.h>
|
|
#include <chrono>
|
|
#include <thread>
|
|
|
|
#include "tim/vx/context.h"
|
|
#include "tim/vx/graph.h"
|
|
#include "tim/vx/platform/platform.h"
|
|
#include "tim/vx/platform/native.h"
|
|
#include "vx_lenet.h"
|
|
#include "vx_mobilenet.h"
|
|
#include "vx_resnet50.h"
|
|
|
|
template <typename T>
|
|
static void printTopN(const T* prob, int outputCount, int topNum) {
|
|
std::vector<std::tuple<int, T>> data;
|
|
|
|
for (int i = 0; i < outputCount; i++) {
|
|
data.push_back(std::make_tuple(i, prob[i]));
|
|
}
|
|
|
|
std::sort(data.begin(), data.end(),
|
|
[](auto& a, auto& b) { return std::get<1>(a) > std::get<1>(b); });
|
|
|
|
std::cout << " --- Top" << topNum << " ---" << std::endl;
|
|
for (int i = 0; i < topNum; i++) {
|
|
std::cout << std::setw(3) << std::get<0>(data[i]) << ": " << std::fixed
|
|
<< std::setprecision(6) << std::get<1>(data[i]) << std::endl;
|
|
}
|
|
}
|
|
|
|
template <typename T>
|
|
void print_topN(std::size_t size, std::shared_ptr<tim::vx::platform::ITensorHandle> handle) {
|
|
std::vector<T> output_data;
|
|
output_data.resize(size);
|
|
if (!handle->CopyDataFromTensor(output_data.data())) {
|
|
std::cout << "Copy output data fail." << std::endl;
|
|
}
|
|
printTopN(output_data.data(), output_data.size(), 5);
|
|
}
|
|
|
|
std::vector<std::vector<char>> load_input_data(std::vector<std::string> filenames, std::vector<uint32_t> input_size_bytes) {
|
|
std::vector<std::vector<char>> Data;
|
|
for (std::size_t i = 0; i < filenames.size(); i++) {
|
|
std::ifstream fin(filenames[i], std::ios::in | std::ios::binary);
|
|
if (fin) {
|
|
std::vector<char> input_data;
|
|
fin.seekg(0, std::ios::end);
|
|
int size = fin.tellg();
|
|
fin.seekg(0, std::ios::beg);
|
|
char *buffer = new char[size];
|
|
std::cout<<"File "<<filenames[i] <<" size:"<<size<<std::endl;
|
|
fin.read(buffer, size);
|
|
fin.close();
|
|
input_data.assign(buffer, buffer + input_size_bytes[i]);
|
|
Data.push_back(input_data);
|
|
free(buffer);
|
|
}
|
|
}
|
|
return Data;
|
|
}
|
|
|
|
void executor_trigger(std::shared_ptr<tim::vx::platform::IExecutor> executor) {
|
|
executor->Trigger();
|
|
}
|
|
|
|
auto context = tim::vx::Context::Create();
|
|
std::pair<std::shared_ptr<tim::vx::platform::IExecutable>, std::shared_ptr<tim::vx::platform::ITensorHandle>> generate_executable(
|
|
std::shared_ptr<tim::vx::platform::IExecutor> executor,
|
|
std::function<void(std::shared_ptr<tim::vx::Graph>, const char*)> construct_func,
|
|
std::string weight_file,
|
|
std::vector<std::string> input_files, tim::vx::ShapeType input_size_bytes) {
|
|
auto graph = context->CreateGraph();
|
|
const char* weight_file_c = weight_file.c_str();
|
|
construct_func(graph, weight_file_c);
|
|
auto input_data = load_input_data(input_files, input_size_bytes);
|
|
auto executable = tim::vx::platform::Compile(graph, executor); // compile to nbg
|
|
auto input_handle = executable->AllocateTensor(graph->InputsTensor()[0]->GetSpec());
|
|
auto output_handle = executable->AllocateTensor(graph->OutputsTensor()[0]->GetSpec());
|
|
executable->SetInput(input_handle);
|
|
executable->SetOutput(output_handle);
|
|
input_handle->CopyDataToTensor(input_data[0].data(), input_data[0].size());
|
|
return std::make_pair(executable, output_handle);
|
|
}
|
|
|
|
int main(int argc, char** argv) {
|
|
(void) argc, (void) argv;
|
|
auto devices = tim::vx::platform::NativeDevice::Enumerate();
|
|
auto device0 = devices[0];
|
|
std::shared_ptr<tim::vx::platform::IExecutor> executor0 = std::make_shared<tim::vx::platform::NativeExecutor> (device0);
|
|
auto device1 = devices[1];
|
|
std::shared_ptr<tim::vx::platform::IExecutor> executor1 = std::make_shared<tim::vx::platform::NativeExecutor> (device1);
|
|
auto device2 = devices[2];
|
|
std::shared_ptr<tim::vx::platform::IExecutor> executor2 = std::make_shared<tim::vx::platform::NativeExecutor> (device2);
|
|
auto device3 = devices[3];
|
|
std::shared_ptr<tim::vx::platform::IExecutor> executor3 = std::make_shared<tim::vx::platform::NativeExecutor> (device3);
|
|
|
|
auto root = std::getenv("TIM_VX_ROOT");
|
|
assert(root != NULL);
|
|
std::string ROOT(root);
|
|
std::vector<std::string> lenet_input_files = {ROOT + "/samples/multi_device/lenet/lenet_input_1_1_28_28_uint8.bin"};
|
|
auto lenet_input_bytes = acuitylite::lenet::input_bytes_list;
|
|
auto lenet_weight_file = ROOT + "/samples/multi_device/lenet/lenet.export.data";
|
|
std::function<void(std::shared_ptr<tim::vx::Graph>, const char*)> lenet_construct_func = acuitylite::lenet::construct_graph;
|
|
|
|
std::vector<std::string> mobilenet_input_files = {ROOT + "/samples/multi_device/mobilenet/mobilenet_1_224_224_3_uint8.bin"};
|
|
auto mobilenet_input_bytes = acuitylite::mobilenet::input_bytes_list;
|
|
auto mobilenet_weight_file = ROOT + "/samples/multi_device/mobilenet/mobilenet.export.data";
|
|
std::function<void(std::shared_ptr<tim::vx::Graph>, const char*)> mobilenet_construct_func = acuitylite::mobilenet::construct_graph;
|
|
|
|
std::vector<std::string> resnet50_input_files = {ROOT + "/samples/multi_device/resnet50/resnet50_1_3_224_224_uint8.bin"};
|
|
auto resnet50_input_bytes = acuitylite::resnet50::input_bytes_list;
|
|
auto resnet50_weight_file = ROOT + "/samples/multi_device/resnet50/resnet50.export.data";
|
|
std::function<void(std::shared_ptr<tim::vx::Graph>, const char*)> resnet50_construct_func = acuitylite::resnet50::construct_graph;
|
|
|
|
std::shared_ptr<tim::vx::platform::IExecutable> lenet_0, lenet_2, lenet_3, mobilenet_1, mobilenet_2, mobilenet_3, resnet50_0, resnet50_1;
|
|
std::shared_ptr<tim::vx::platform::ITensorHandle> lenet_0_outhandle, lenet_2_outhandle, lenet_3_outhandle, mobilenet_1_outhandle, mobilenet_2_outhandle, mobilenet_3_outhandle,
|
|
resnet50_0_outhandle, resnet50_1_outhandle;
|
|
|
|
std::tie(lenet_0, lenet_0_outhandle) = generate_executable(executor0, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes);
|
|
std::tie(resnet50_0, resnet50_0_outhandle) = generate_executable(executor0, resnet50_construct_func, resnet50_weight_file, resnet50_input_files, resnet50_input_bytes);
|
|
executor0->Submit(lenet_0, lenet_0);
|
|
executor0->Submit(resnet50_0, lenet_0);
|
|
|
|
std::tie(mobilenet_1, mobilenet_1_outhandle) = generate_executable(executor1, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes);
|
|
std::tie(resnet50_1, resnet50_1_outhandle) = generate_executable(executor1, resnet50_construct_func, resnet50_weight_file, resnet50_input_files, resnet50_input_bytes);
|
|
auto executable_set1 = tim::vx::platform::CreateExecutableSet({mobilenet_1, resnet50_1});
|
|
executor1->Submit(executable_set1, executable_set1);
|
|
|
|
std::tie(lenet_2, lenet_2_outhandle) = generate_executable(executor2, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes);
|
|
std::tie(mobilenet_2, mobilenet_2_outhandle) = generate_executable(executor2, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes);
|
|
auto executable_set2 = tim::vx::platform::CreateExecutableSet({lenet_2, mobilenet_2});
|
|
executor2->Submit(executable_set2, executable_set2);
|
|
|
|
std::tie(lenet_3, lenet_3_outhandle) = generate_executable(executor3, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes);
|
|
std::tie(mobilenet_3, mobilenet_3_outhandle) = generate_executable(executor3, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes);
|
|
auto executable_set3 = tim::vx::platform::CreateExecutableSet({lenet_3, mobilenet_3});
|
|
executor3->Submit(executable_set3, executable_set3);
|
|
|
|
std::thread t0(executor_trigger, executor0);
|
|
std::thread t1(executor_trigger, executor1);
|
|
std::thread t2(executor_trigger, executor2);
|
|
std::thread t3(executor_trigger, executor3);
|
|
t0.join();
|
|
t1.join();
|
|
t2.join();
|
|
t3.join();
|
|
|
|
print_topN<float>(1 * 10, lenet_0_outhandle);
|
|
print_topN<float>(1 * 10, lenet_2_outhandle);
|
|
print_topN<float>(1 * 10, lenet_3_outhandle);
|
|
print_topN<float>(1 * 1001, mobilenet_1_outhandle);
|
|
print_topN<float>(1 * 1001, mobilenet_2_outhandle);
|
|
print_topN<float>(1 * 1001, mobilenet_3_outhandle);
|
|
print_topN<uint16_t>(1 * 1000, resnet50_0_outhandle);
|
|
print_topN<uint16_t>(1 * 1000, resnet50_1_outhandle);
|
|
return 0;
|
|
}
|