chore: import upstream snapshot with attribution

test/cpp/inference/api/onnxruntime_predictor_tester.cc

@@ -0,0 +1,81 @@
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <glog/logging.h>
+#include <gtest/gtest.h>
+
+#include <string>
+#include <thread>  // NOLINT
+#include <vector>
+
+#include "paddle/fluid/framework/ir/pass.h"
+#include "paddle/fluid/framework/tensor.h"
+#include "paddle/fluid/inference/api/helper.h"
+#include "paddle/fluid/inference/api/onnxruntime_predictor.h"
+#include "paddle/fluid/inference/api/paddle_api.h"
+#include "paddle/fluid/inference/api/paddle_inference_api.h"
+#include "paddle/fluid/inference/utils/io_utils.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
+#include "test/cpp/inference/api/tester_helper.h"
+
+PD_DEFINE_string(dirname, "", "dirname to tests.");
+
+namespace paddle {
+
+TEST(ONNXRuntimePredictor, onnxruntime_on) {
+  AnalysisConfig config;
+  config.SetModel(FLAGS_dirname + "/inference.pdmodel",
+                  FLAGS_dirname + "/inference.pdiparams");
+  config.EnableONNXRuntime();
+  config.EnableORTOptimization();
+  config.SetCpuMathLibraryNumThreads(2);
+  LOG(INFO) << config.Summary();
+
+  auto _predictor =
+      CreatePaddlePredictor<AnalysisConfig,
+                            paddle::PaddleEngineKind::kONNXRuntime>(config);
+  ASSERT_TRUE(_predictor);
+  auto* predictor = static_cast<ONNXRuntimePredictor*>(_predictor.get());
+
+  ASSERT_TRUE(predictor);
+  ASSERT_TRUE(!predictor->Clone());
+  // Dummy Input Data
+  std::vector<int64_t> input_shape = {-1, 3, 224, 224};
+  std::vector<float> input_data(1 * 3 * 224 * 224, 1.0);
+  std::vector<float> out_data;
+  out_data.resize(1000);
+
+  // testing all interfaces
+  auto input_names = predictor->GetInputNames();
+  auto output_names = predictor->GetOutputNames();
+  auto get_input_shape = predictor->GetInputTensorShape();
+
+  ASSERT_EQ(input_names.size(), 1UL);
+  ASSERT_EQ(output_names.size(), 1UL);
+  ASSERT_EQ(input_names[0], "inputs");
+  ASSERT_EQ(output_names[0], "save_infer_model/scale_0.tmp_1");
+  ASSERT_EQ(get_input_shape["inputs"], input_shape);
+
+  auto input_tensor = predictor->GetInputTensor(input_names[0]);
+  input_tensor->Reshape({1, 3, 224, 224});
+  auto output_tensor = predictor->GetOutputTensor(output_names[0]);
+
+  input_tensor->CopyFromCpu(input_data.data());
+  ASSERT_TRUE(predictor->ZeroCopyRun());
+  output_tensor->CopyToCpu(out_data.data());
+
+  predictor->TryShrinkMemory();
+}
+
+}  // namespace paddle