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message("samples/multi_device") | ||
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set(TARGET_NAME "multi_device") | ||
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find_package(Threads REQUIRED) | ||
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aux_source_directory(. ${TARGET_NAME}_SRCS) | ||
add_executable(${TARGET_NAME} ${${TARGET_NAME}_SRCS}) | ||
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target_link_libraries(${TARGET_NAME} PRIVATE tim-vx Threads::Threads) | ||
target_include_directories(${TARGET_NAME} PRIVATE | ||
${CMAKE_CURRENT_SOURCE_DIR} | ||
${PROJECT_SOURCE_DIR}/include | ||
) |
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samples/multi_device/mobilenet/mobilenet_1_224_224_3_uint8.bin
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/**************************************************************************** | ||
* | ||
* 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> | ||
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#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" | ||
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// export VSIMULATOR_CONFIG=VIP9400O_PID0XD9 | ||
// export VIV_MGPU_AFFINITY="1:0" | ||
// export VIV_OVX_USE_MULTI_DEVICE="1:1" | ||
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template <typename T> | ||
static void printTopN(const T* prob, int outputCount, int topNum) { | ||
std::vector<std::tuple<int, T>> data; | ||
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for (int i = 0; i < outputCount; i++) { | ||
data.push_back(std::make_tuple(i, prob[i])); | ||
} | ||
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std::sort(data.begin(), data.end(), | ||
[](auto& a, auto& b) { return std::get<1>(a) > std::get<1>(b); }); | ||
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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; | ||
} | ||
} | ||
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void print_topN(std::size_t size, std::shared_ptr<tim::vx::platform::ITensorHandle> handle){ | ||
std::vector<float> output_data; | ||
output_data.resize(size); | ||
if (!handle->CopyTensorToData(output_data.data())) { | ||
std::cout << "Copy output data fail." << std::endl; | ||
} | ||
printTopN(output_data.data(), output_data.size(), 5); | ||
} | ||
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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; | ||
} | ||
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void executor_trigger(std::shared_ptr<tim::vx::platform::IExecutor> executor){ | ||
executor->Trigger(); | ||
} | ||
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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); | ||
} | ||
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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); | ||
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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_784_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; | ||
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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; | ||
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auto executable_and_handle0 = generate_executable(executor0, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes); | ||
auto executable0 = executable_and_handle0.first; | ||
auto output_handle0 = executable_and_handle0.second; | ||
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auto executable_and_handle1 = generate_executable(executor1, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes); | ||
auto executable1 = executable_and_handle1.first; | ||
auto output_handle1 = executable_and_handle1.second; | ||
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executor0->Submit(executable0, executable0); | ||
executor1->Submit(executable1, executable1); | ||
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auto executable_and_handle2 = generate_executable(executor2, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes); | ||
auto executable2 = executable_and_handle2.first; | ||
auto output_handle2 = executable_and_handle2.second; | ||
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auto executable_and_handle3 = generate_executable(executor2, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes); | ||
auto executable3 = executable_and_handle3.first; | ||
auto output_handle3 = executable_and_handle3.second; | ||
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std::vector<std::shared_ptr<tim::vx::platform::IExecutable>> executables0; | ||
executables0.push_back(executable2); | ||
executables0.push_back(executable3); | ||
auto executable_set0 = tim::vx::platform::CreateExecutableSet(executables0); | ||
executor2->Submit(executable_set0, executable_set0); | ||
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auto executable_and_handle4 = generate_executable(executor3, lenet_construct_func, lenet_weight_file, lenet_input_files, lenet_input_bytes); | ||
auto executable4 = executable_and_handle4.first; | ||
auto output_handle4 = executable_and_handle4.second; | ||
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auto executable_and_handle5 = generate_executable(executor3, mobilenet_construct_func, mobilenet_weight_file, mobilenet_input_files, mobilenet_input_bytes); | ||
auto executable5 = executable_and_handle5.first; | ||
auto output_handle5 = executable_and_handle5.second; | ||
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executor3->Submit(executable4, executable4); | ||
executor3->Submit(executable5, executable4); | ||
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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(); | ||
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print_topN(1 * 10, output_handle0); | ||
print_topN(1 * 1001, output_handle1); | ||
print_topN(1 * 10, output_handle2); | ||
print_topN(1 * 1001, output_handle3); | ||
print_topN(1 * 10, output_handle4); | ||
print_topN(1 * 1001, output_handle5); | ||
return 0; | ||
} |
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