remove unused test_multi_thread_helper.h (#24399)

test=develop

paddle/fluid/inference/api/paddle_analysis_config.h

@@ -347,6 +347,8 @@ struct AnalysisConfig {
   ///
   /// \brief Set the cache capacity of different input shapes for MKLDNN.
   /// Default value 0 means not caching any shape.
+  /// Please see MKL-DNN Data Caching Design Document:
+  /// https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/mkldnn/caching/caching.md
   ///
   /// \param capacity The cache capacity.
   ///

paddle/fluid/inference/tests/test_multi_thread_helper.h

-/* Copyright (c) 2018 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. */
-
-#pragma once
-
-#include <map>
-#include <string>
-#include <thread>  // NOLINT
-#include <vector>
-#include "paddle/fluid/framework/lod_tensor.h"
-#include "paddle/fluid/inference/io.h"
-
-void ThreadedRunInference(
-    const std::unique_ptr<paddle::framework::ProgramDesc>& inference_program,
-    paddle::framework::Executor* executor, paddle::framework::Scope* scope,
-    const int thread_id,
-    const std::vector<paddle::framework::LoDTensor*>& cpu_feeds,
-    const std::vector<paddle::framework::LoDTensor*>& cpu_fetchs) {
-  auto copy_program = std::unique_ptr<paddle::framework::ProgramDesc>(
-      new paddle::framework::ProgramDesc(*inference_program));
-
-  std::string feed_holder_name = "feed_" + paddle::string::to_string(thread_id);
-  std::string fetch_holder_name =
-      "fetch_" + paddle::string::to_string(thread_id);
-  copy_program->SetFeedHolderName(feed_holder_name);
-  copy_program->SetFetchHolderName(fetch_holder_name);
-
-  // 3. Get the feed_target_names and fetch_target_names
-  const std::vector<std::string>& feed_target_names =
-      copy_program->GetFeedTargetNames();
-  const std::vector<std::string>& fetch_target_names =
-      copy_program->GetFetchTargetNames();
-
-  // 4. Prepare inputs: set up maps for feed targets
-  std::map<std::string, const paddle::framework::LoDTensor*> feed_targets;
-  for (size_t i = 0; i < feed_target_names.size(); ++i) {
-    // Please make sure that cpu_feeds[i] is right for feed_target_names[i]
-    feed_targets[feed_target_names[i]] = cpu_feeds[i];
-  }
-
-  // 5. Define Tensor to get the outputs: set up maps for fetch targets
-  std::map<std::string, paddle::framework::LoDTensor*> fetch_targets;
-  for (size_t i = 0; i < fetch_target_names.size(); ++i) {
-    fetch_targets[fetch_target_names[i]] = cpu_fetchs[i];
-  }
-
-  // 6. Run the inference program
-  executor->Run(*copy_program, scope, feed_targets, fetch_targets, true,
-                feed_holder_name, fetch_holder_name);
-}
-
-template <typename Place>
-void TestMultiThreadInference(
-    const std::string& dirname,
-    const std::vector<std::vector<paddle::framework::LoDTensor*>>& cpu_feeds,
-    const std::vector<std::vector<paddle::framework::LoDTensor*>>& cpu_fetchs,
-    const int num_threads) {
-  // 1. Define place, executor, scope
-  auto place = Place();
-  auto executor = paddle::framework::Executor(place);
-  auto* scope = new paddle::framework::Scope();
-
-  // 2. Initialize the inference_program and load parameters
-  std::unique_ptr<paddle::framework::ProgramDesc> inference_program =
-      paddle::inference::Load(executor, *scope, dirname);
-
-  std::vector<std::thread*> threads;
-  for (int i = 0; i < num_threads; ++i) {
-    threads.push_back(new std::thread(
-        ThreadedRunInference, std::ref(inference_program), &executor, scope, i,
-        std::ref(cpu_feeds[i]), std::ref(cpu_fetchs[i])));
-  }
-  for (int i = 0; i < num_threads; ++i) {
-    threads[i]->join();
-    delete threads[i];
-  }
-
-  delete scope;
-}