PhysicsTools/TensorFlow/test/testVisibleDevicesCUDA.cc - master - githubmirror/cmssw

PhysicsTools/TensorFlow/test/testVisibleDevicesCUDA.cc
87 строк3 KB
Matti Kortelainen
Remove tensorflow::setLogging() as thread-unsafe
19 сен 2024, 21:07
19 сен 2024, 21:07bafd04e
/*
 * Tests visible device interface 
 * For more info,
 * https://github.com/tensorflow/tensorflow/blob/3bc73f5e2ac437b1d9d559751af789c8c965a7f9/tensorflow/core/framework/device_attributes.proto
 * https://stackoverflow.com/questions/74110853/how-to-check-if-tensorflow-is-using-the-cpu-with-the-c-api\
 *
 * Author: Davide Valsecchi
 */

#include <stdexcept>
#include <cppunit/extensions/HelperMacros.h>

#include "PhysicsTools/TensorFlow/interface/TensorFlow.h"
#include "tensorflow/core/framework/device_attributes.pb.h"

#include "testBaseCUDA.h"

class testVisibleDevicesCUDA : public testBaseCUDA {
  CPPUNIT_TEST_SUITE(testVisibleDevicesCUDA);
  CPPUNIT_TEST(test);
  CPPUNIT_TEST_SUITE_END();

public:
  std::string pyScript() const override;
  void test() override;
};

CPPUNIT_TEST_SUITE_REGISTRATION(testVisibleDevicesCUDA);

std::string testVisibleDevicesCUDA::pyScript() const { return "createconstantgraph.py"; }

void testVisibleDevicesCUDA::test() {
  if (!cms::cudatest::testDevices())
    return;

  std::vector<edm::ParameterSet> psets;
  edm::ServiceToken serviceToken = edm::ServiceRegistry::createSet(psets);
  edm::ServiceRegistry::Operate operate(serviceToken);

  // Setup the CUDA Service
  edmplugin::PluginManager::configure(edmplugin::standard::config());

  std::string const config = R"_(import FWCore.ParameterSet.Config as cms
process = cms.Process('Test')
process.add_(cms.Service('ResourceInformationService'))
process.add_(cms.Service('CUDAService'))
)_";
  std::unique_ptr<edm::ParameterSet> params;
  edm::makeParameterSets(config, params);
  edm::ServiceToken tempToken(edm::ServiceRegistry::createServicesFromConfig(std::move(params)));
  edm::ServiceRegistry::Operate operate2(tempToken);
  edm::Service<CUDAInterface> cuda;
  std::cout << "CUDA service enabled: " << cuda->enabled() << std::endl;

  std::cout << "Testing CUDA backend" << std::endl;
  tensorflow::Backend backend = tensorflow::Backend::cuda;
  tensorflow::Options options{backend};

  // load the graph
  std::string pbFile = dataPath_ + "/constantgraph.pb";
  tensorflow::GraphDef* graphDef = tensorflow::loadGraphDef(pbFile);
  CPPUNIT_ASSERT(graphDef != nullptr);

  // create a new session and add the graphDef
  tensorflow::Session* session = tensorflow::createSession(graphDef, options);
  CPPUNIT_ASSERT(session != nullptr);

  // check for exception
  CPPUNIT_ASSERT_THROW(tensorflow::createSession(nullptr, options), cms::Exception);

  std::vector<tensorflow::DeviceAttributes> response;
  tensorflow::Status status = session->ListDevices(&response);
  CPPUNIT_ASSERT(status.ok());

  // If a single device is found, we assume that it's the CPU.
  // You can check that name if you want to make sure that this is the case
  for (unsigned int i = 0; i < response.size(); ++i) {
    std::cout << i << " " << response[i].name() << " type: " << response[i].device_type() << std::endl;
  }
  std::cout << "Available devices: " << response.size() << std::endl;
  CPPUNIT_ASSERT(response.size() == 2);

  // cleanup
  CPPUNIT_ASSERT(tensorflow::closeSession(session));
  CPPUNIT_ASSERT(session == nullptr);
  delete graphDef;
}