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@ -14,7 +14,12 @@ limitations under the License. */
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#include <sys/time.h>
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#include <time.h>
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#include <fstream>
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#include <iostream>
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#include <sstream>
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#include <string>
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#include <thread> // NOLINT
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#include <vector>
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#include "gflags/gflags.h"
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#include "gtest/gtest.h"
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#include "paddle/fluid/inference/tests/test_helper.h"
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@ -31,16 +36,37 @@ inline double get_current_ms() {
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return 1e+3 * time.tv_sec + 1e-3 * time.tv_usec;
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}
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void read_data(
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std::vector<std::vector<int64_t>>* out,
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const std::string& filename = "/home/tangjian/paddle-tj/out.ids.txt") {
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using namespace std; // NOLINT
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fstream fin(filename);
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string line;
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out->clear();
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while (getline(fin, line)) {
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istringstream iss(line);
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vector<int64_t> ids;
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string field;
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while (getline(iss, field, ' ')) {
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ids.push_back(stoi(field));
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}
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out->push_back(ids);
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}
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}
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TEST(inference, understand_sentiment) {
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if (FLAGS_dirname.empty()) {
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LOG(FATAL) << "Usage: ./example --dirname=path/to/your/model";
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}
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std::vector<std::vector<int64_t>> inputdatas;
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read_data(&inputdatas);
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LOG(INFO) << "---------- dataset size: " << inputdatas.size();
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LOG(INFO) << "FLAGS_dirname: " << FLAGS_dirname << std::endl;
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std::string dirname = FLAGS_dirname;
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const bool model_combined = false;
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int total_work = 100;
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int num_threads = 10;
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int total_work = 10;
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int num_threads = 2;
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int work_per_thread = total_work / num_threads;
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std::vector<std::unique_ptr<std::thread>> infer_threads;
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for (int i = 0; i < num_threads; ++i) {
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