Merge pull request #12075 from JiayiFeng/fix_backward_bug

Fix backward bug

CMakeLists.txt

@@ -103,6 +103,11 @@ if(ANDROID OR IOS)
     add_definitions(-DPADDLE_MOBILE_INFERENCE)
 endif()
 
+if (APPLE OR WIN32)
+    set(WITH_MKL OFF CACHE STRING
+        "Disable MKL for building on mac and windows" FORCE)
+endif()
+
 set(THIRD_PARTY_PATH "${CMAKE_BINARY_DIR}/third_party" CACHE STRING
   "A path setting third party libraries download & build directories.")
 

paddle/contrib/inference/CMakeLists.txt

@@ -49,7 +49,9 @@ cc_library(paddle_inference_api
 # Here the shared library doesn't depend on other fluid libraries, or double free will occur.
 cc_library(paddle_inference_api_shared SHARED
     SRCS paddle_inference_api.cc paddle_inference_api_impl.cc)
+add_dependencies(paddle_inference_api_shared ${FLUID_CORE_MODULES} ${GLOB_OP_LIB})
 set_target_properties(paddle_inference_api_shared PROPERTIES OUTPUT_NAME paddle_inference_api)
+
 if(NOT APPLE)
   set(LINK_FLAGS "-fPIC -fvisibility=hidden")
   set_target_properties(paddle_inference_api_shared PROPERTIES LINK_FLAGS "${LINK_FLAGS}")

paddle/fluid/framework/CMakeLists.txt

@@ -27,6 +27,7 @@ cc_test(lod_tensor_test SRCS lod_tensor_test.cc DEPS lod_tensor memory)
 nv_test(lod_tensor_gpu_test SRCS lod_tensor_test.cu DEPS lod_tensor)
 
 cc_library(reader SRCS reader.cc DEPS lod_tensor ddim)
+cc_test(reader_test SRCS reader_test.cc DEPS reader)
 
 cc_test(variable_test SRCS variable_test.cc)
 

paddle/fluid/framework/reader.cc

@@ -13,29 +13,61 @@
 // limitations under the License.
 
 #include "paddle/fluid/framework/reader.h"
+#include <deque>
 
 namespace paddle {
 namespace framework {
-ReaderBase::~ReaderBase() {}
 
-FileReader::FileReader(const std::vector<DDim> &dims) : dims_(dims) {}
-
-void FileReader::ReadNext(std::vector<LoDTensor> *out) {
+void ReaderBase::ReadNext(std::vector<LoDTensor> *out) {
+  std::lock_guard<std::mutex> lock(mu_);
+  PADDLE_ENFORCE_EQ(status_, ReaderStatus::kRunning);
   ReadNextImpl(out);
-  if (out->empty()) {
-    return;
-  }
+}
 
-  PADDLE_ENFORCE_EQ(out->size(), dims_.size());
-  for (size_t i = 0; i < dims_.size(); ++i) {
-    auto &actual = (*out)[i].dims();
-    auto &expect = dims_[i];
+void ReaderBase::InsertDecoratedReader(
+    const std::shared_ptr<ReaderBase> &decorated_reader) {
+  std::lock_guard<std::mutex> guard(mu_);
+  decorated_readers_.emplace_back(decorated_reader);
+}
 
-    PADDLE_ENFORCE_EQ(actual.size(), expect.size());
-    for (int j = 0; j < actual.size(); ++j) {
-      //      PADDLE_ENFORCE(actual[i] == expect[i] || expect[i] == -1);
+std::unordered_set<ReaderBase *> ReaderBase::GetEndPoints() {
+  std::unordered_set<ReaderBase *> result;
+  std::deque<ReaderBase *> queue;
+  queue.emplace_back(this);
+  while (!queue.empty()) {  // BFS search
+    auto *front = queue.front();
+    queue.pop_front();
+    if (front->decorated_readers_.empty()) {
+      result.emplace(front);
+    } else {
+      for (auto &reader : front->decorated_readers_) {
+        if (auto *reader_ptr = reader.lock().get()) {
+          queue.emplace_back(reader_ptr);
+        }
+      }
     }
   }
+
+  return result;
 }
+
+void ReaderBase::Shutdown() {
+  std::lock_guard<std::mutex> lock(mu_);
+  if (status_ != ReaderStatus::kStopped) {
+    ShutdownImpl();
+    status_ = ReaderStatus::kStopped;
+  }
+}
+
+void ReaderBase::Start() {
+  std::lock_guard<std::mutex> lock(mu_);
+  if (status_ != ReaderStatus::kRunning) {
+    StartImpl();
+    status_ = ReaderStatus::kRunning;
+  }
+}
+
+ReaderBase::~ReaderBase() { Shutdown(); }
+
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/reader.h

@@ -15,6 +15,7 @@
 #pragma once
 
 #include <memory>
+#include <unordered_set>
 #include <vector>
 
 #include "paddle/fluid/framework/ddim.h"
@@ -24,61 +25,116 @@
 namespace paddle {
 namespace framework {
 
+enum ReaderStatus { kRunning, kStopped };
+
 class ReaderBase {
  public:
-  virtual void ReadNext(std::vector<LoDTensor>* out) = 0;
+  void ReadNext(std::vector<LoDTensor>* out);
+
+  void Shutdown();
 
-  virtual void ReInit() = 0;
+  void Start();
+
+  // Return the readers which are the end of decorating chain. Basically
+  // they are readers just before read op.
+  std::unordered_set<ReaderBase*> GetEndPoints();
 
   virtual ~ReaderBase();
+
+ protected:
+  virtual void ReadNextImpl(std::vector<LoDTensor>* out) = 0;
+
+  virtual void ShutdownImpl() {}
+
+  virtual void StartImpl() {}
+
+  ReaderStatus status_{kRunning};
+
+  mutable std::mutex mu_;
+
+ private:
+  friend class DecoratedReader;
+  // These methods can be only invoked inside DecoratedReader to record the
+  // decorating chain.
+  void InsertDecoratedReader(
+      const std::shared_ptr<ReaderBase>& decorated_reader);
+  // A set of which readers that decorated this reader.
+  std::vector<std::weak_ptr<ReaderBase>> decorated_readers_;
 };
 
-class DecoratedReader : public ReaderBase {
+class DecoratedReader : public ReaderBase,
+                        public std::enable_shared_from_this<DecoratedReader> {
  public:
   explicit DecoratedReader(const std::shared_ptr<ReaderBase>& reader)
       : ReaderBase(), reader_(reader) {
     PADDLE_ENFORCE_NOT_NULL(reader_);
   }
 
-  void ReInit() override { reader_->ReInit(); }
+  void RegisterDecorateChain() {
+    reader_->InsertDecoratedReader(shared_from_this());
+  }
 
  protected:
-  std::shared_ptr<ReaderBase> reader_;
-};
-
-class FileReader : public ReaderBase {
- public:
-  explicit FileReader(const std::vector<DDim>& dims);
-
-  void ReadNext(std::vector<LoDTensor>* out) override;
+  void ShutdownImpl() override { reader_->Shutdown(); }
 
- protected:
-  virtual void ReadNextImpl(std::vector<LoDTensor>* out) = 0;
+  void StartImpl() override { reader_->Start(); }
 
- private:
-  std::vector<DDim> dims_;
+  std::shared_ptr<ReaderBase> reader_;
 };
 
+// FileReader is just a conceptual class.
+class FileReader : public ReaderBase {};
+
 // The ReaderHolder is used as reader' unified wrapper,
 // making it easier to access different type reader in Variables.
 class ReaderHolder {
  public:
-  void Reset(ReaderBase* reader) { reader_.reset(reader); }
+  template <typename T>
+  void Reset(const std::shared_ptr<T>& reader) {
+    auto reader_base = std::dynamic_pointer_cast<ReaderBase>(reader);
+    PADDLE_ENFORCE_NOT_NULL(reader_base);
+    reader_ = reader_base;
+  }
 
-  std::shared_ptr<ReaderBase> Get() const { return reader_; }
+  const std::shared_ptr<ReaderBase>& Get() const { return reader_; }
 
   void ReadNext(std::vector<LoDTensor>* out) {
     PADDLE_ENFORCE_NOT_NULL(reader_);
     reader_->ReadNext(out);
   }
-  void ReInit() {
+
+  void ResetAll() {
+    auto end_readers = reader_->GetEndPoints();
+    for (auto* reader : end_readers) {
+      reader->Shutdown();
+    }
+    for (auto* reader : end_readers) {
+      reader->Start();
+    }
+  }
+
+  void Shutdown() {
+    PADDLE_ENFORCE_NOT_NULL(reader_);
+    reader_->Shutdown();
+  }
+
+  void Start() {
     PADDLE_ENFORCE_NOT_NULL(reader_);
-    reader_->ReInit();
+    reader_->Start();
   }
 
+  operator const std::shared_ptr<ReaderBase>&() const { return this->reader_; }
+
  private:
   std::shared_ptr<ReaderBase> reader_;
 };
 
+template <typename T, typename... ARGS>
+inline std::shared_ptr<DecoratedReader> MakeDecoratedReader(ARGS&&... args) {
+  std::shared_ptr<DecoratedReader> reader(new T(std::forward<ARGS>(args)...));
+  reader->RegisterDecorateChain();
+  return reader;
+}
+
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/reader_test.cc

+// 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.
+
+#include "paddle/fluid/framework/reader.h"
+#include <memory>
+#include "gtest/gtest.h"
+
+class StubDecoratedReader : public paddle::framework::DecoratedReader {
+ public:
+  explicit StubDecoratedReader(const std::shared_ptr<ReaderBase> &reader)
+      : DecoratedReader(reader) {}
+
+  void ReadNextImpl(std::vector<paddle::framework::LoDTensor> *out) override {}
+};
+
+class StubRootReader : public paddle::framework::ReaderBase {
+ public:
+  void ReadNextImpl(std::vector<paddle::framework::LoDTensor> *out) override {}
+};
+
+TEST(READER, decorate_chain) {
+  auto root = std::make_shared<StubRootReader>();
+  auto end_point1 =
+      paddle::framework::MakeDecoratedReader<StubDecoratedReader>(root);
+  auto end_point2 =
+      paddle::framework::MakeDecoratedReader<StubDecoratedReader>(root);
+
+  {
+    auto endpoints = root->GetEndPoints();
+    ASSERT_EQ(endpoints.size(), 2U);
+    ASSERT_NE(endpoints.count(end_point1.get()), 0);
+    ASSERT_NE(endpoints.count(end_point2.get()), 0);
+  }
+
+  {
+    auto end_point3 =
+        paddle::framework::MakeDecoratedReader<StubDecoratedReader>(root);
+    ASSERT_EQ(root->GetEndPoints().size(), 3U);
+  }
+  { ASSERT_EQ(root->GetEndPoints().size(), 2U); }
+}

paddle/fluid/operators/reader/CMakeLists.txt

@@ -22,7 +22,6 @@ reader_library(create_batch_reader_op SRCS create_batch_reader_op.cc)
 reader_library(create_recordio_file_reader_op SRCS create_recordio_file_reader_op.cc)
 reader_library(create_double_buffer_reader_op SRCS create_double_buffer_reader_op.cc)
 reader_library(create_multi_pass_reader_op SRCS create_multi_pass_reader_op.cc)
-reader_library(create_threaded_reader_op SRCS create_threaded_reader_op.cc)
 reader_library(create_custom_reader_op SRCS create_custom_reader_op.cc)
 reader_library(create_py_reader_op SRCS create_py_reader_op.cc)
 

paddle/fluid/operators/reader/create_batch_reader_op.cc

@@ -20,15 +20,19 @@ namespace reader {
 
 class BatchReader : public framework::DecoratedReader {
  public:
-  BatchReader(const std::shared_ptr<ReaderBase>& reader, int batch_size)
-      : DecoratedReader(reader), batch_size_(batch_size) {
+  BatchReader(const std::shared_ptr<ReaderBase>& reader, int batch_size,
+              bool discard_leftover)
+      : DecoratedReader(reader),
+        batch_size_(batch_size),
+        discard_leftover_(discard_leftover) {
     buffer_.reserve(batch_size_);
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override;
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override;
 
  private:
   int batch_size_;
+  bool discard_leftover_;
   std::vector<std::vector<framework::LoDTensor>> buffer_;
 };
 
@@ -46,8 +50,9 @@ class CreateBatchReaderOp : public framework::OperatorBase {
     }
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
-    out->Reset(
-        new BatchReader(underlying_reader.Get(), Attr<int>("batch_size")));
+    out->Reset(framework::MakeDecoratedReader<BatchReader>(
+        underlying_reader, Attr<int>("batch_size"),
+        Attr<bool>("discard_leftover")));
   }
 };
 
@@ -57,6 +62,10 @@ class CreateBatchReaderOpMaker : public DecoratedReaderMakerBase {
     AddAttr<int>("batch_size",
                  "How many instances the batch reader yields each time.")
         .GreaterThan(0);
+    AddAttr<bool>("discard_leftover",
+                  "If true, the leftover instances that are not enough for a "
+                  "new batch will be discarded.")
+        .SetDefault(true);
     AddComment(R"DOC(
       CreateBatchReader Operator
 
@@ -66,7 +75,7 @@ class CreateBatchReaderOpMaker : public DecoratedReaderMakerBase {
   }
 };
 
-void BatchReader::ReadNext(std::vector<framework::LoDTensor>* out) {
+void BatchReader::ReadNextImpl(std::vector<framework::LoDTensor>* out) {
   buffer_.clear();
   buffer_.reserve(batch_size_);
   for (int i = 0; i < batch_size_; ++i) {
@@ -77,6 +86,9 @@ void BatchReader::ReadNext(std::vector<framework::LoDTensor>* out) {
       break;
     }
   }
+  if (discard_leftover_ && buffer_.size() < batch_size_) {
+    buffer_.clear();
+  }
   // Concat instances
   out->clear();
   if (buffer_.empty()) {

paddle/fluid/operators/reader/create_custom_reader_op.cc

@@ -33,7 +33,7 @@ class CustomReader : public framework::DecoratedReader {
         source_var_names_(source_var_names),
         sink_var_names_(sink_var_names) {}
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override;
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override;
 
  private:
   const framework::ProgramDesc program_;
@@ -60,10 +60,10 @@ class CreateCustomReaderOp : public framework::OperatorBase {
     }
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
-    out->Reset(
-        new CustomReader(underlying_reader.Get(), *sub_block,
-                         Attr<std::vector<std::string>>("source_var_names"),
-                         Attr<std::vector<std::string>>("sink_var_names")));
+    out->Reset(framework::MakeDecoratedReader<CustomReader>(
+        underlying_reader, *sub_block,
+        Attr<std::vector<std::string>>("source_var_names"),
+        Attr<std::vector<std::string>>("sink_var_names")));
   }
 };
 
@@ -143,7 +143,7 @@ class CustomReaderInferVarType : public framework::VarTypeInference {
   }
 };
 
-void CustomReader::ReadNext(std::vector<framework::LoDTensor>* out) {
+void CustomReader::ReadNextImpl(std::vector<framework::LoDTensor>* out) {
   out->clear();
   std::vector<framework::LoDTensor> underlying_outs;
   reader_->ReadNext(&underlying_outs);

paddle/fluid/operators/reader/create_double_buffer_reader_op.cc

@@ -23,13 +23,13 @@ namespace reader {
 
 // 'Double buffer' means we shall maintain two batches of input data at the same
 // time. So the kCacheSize shoul be at least 2.
-static constexpr size_t kCacheSize = 5;
+static constexpr size_t kCacheSize = 3;
 // There will be two bacthes out of the channel during training:
 // 1. the one waiting to be sent to the channel
 // 2. the one just be received from the channel, which is also being used by
 // subsequent operators.
 // So the channel size should be kChacheSize - 2
-static constexpr size_t kChannelSize = 3;  // kCacheSize - 2
+static constexpr size_t kChannelSize = 1;  // kCacheSize - 2
 
 class DoubleBufferReader : public framework::DecoratedReader {
  public:
@@ -50,12 +50,21 @@ class DoubleBufferReader : public framework::DecoratedReader {
     StartPrefetcher();
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override;
-  void ReInit() override;
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override;
 
   ~DoubleBufferReader() { EndPrefetcher(); }
 
  private:
+  void ShutdownImpl() override {
+    EndPrefetcher();
+    reader_->Shutdown();
+  }
+
+  void StartImpl() override {
+    reader_->Start();
+    StartPrefetcher();
+  }
+
   void StartPrefetcher() {
     channel_ = new reader::BlockingQueue<size_t>(kChannelSize);
     prefetcher_ = std::thread([this] { PrefetchThreadFunc(); });
@@ -109,7 +118,8 @@ class CreateDoubleBufferReaderOp : public framework::OperatorBase {
       place = platform::CUDAPlace(static_cast<int>(num));
     }
 
-    out->Reset(new DoubleBufferReader(underlying_reader.Get(), place));
+    out->Reset(framework::MakeDecoratedReader<DoubleBufferReader>(
+        underlying_reader, place));
   }
 };
 
@@ -136,7 +146,7 @@ class CreateDoubleBufferReaderOpMaker : public DecoratedReaderMakerBase {
   }
 };
 
-void DoubleBufferReader::ReadNext(std::vector<framework::LoDTensor>* out) {
+void DoubleBufferReader::ReadNextImpl(std::vector<framework::LoDTensor>* out) {
   size_t cached_tensor_id;
   if (channel_->Receive(&cached_tensor_id)) {
     if (platform::is_gpu_place(place_)) {
@@ -150,12 +160,6 @@ void DoubleBufferReader::ReadNext(std::vector<framework::LoDTensor>* out) {
   }
 }
 
-void DoubleBufferReader::ReInit() {
-  reader_->ReInit();
-  EndPrefetcher();
-  StartPrefetcher();
-}
-
 void DoubleBufferReader::PrefetchThreadFunc() {
   VLOG(5) << "A new prefetch thread starts.";
   size_t cached_tensor_id = 0;

paddle/fluid/operators/reader/create_multi_pass_reader_op.cc

@@ -24,23 +24,22 @@ class MultiPassReader : public framework::DecoratedReader {
   MultiPassReader(const std::shared_ptr<ReaderBase>& reader, int pass_num)
       : DecoratedReader(reader), pass_num_(pass_num), pass_count_(0) {}
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override {
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override {
     reader_->ReadNext(out);
-    if (out->empty()) {
+    if (out->empty() && pass_count_ < pass_num_ - 1) {
+      reader_->Shutdown();
+      reader_->Start();
+      reader_->ReadNext(out);
       ++pass_count_;
-      if (pass_count_ < pass_num_) {
-        reader_->ReInit();
-        reader_->ReadNext(out);
-      }
     }
   }
 
-  void ReInit() override {
+ private:
+  void StartImpl() override {
     pass_count_ = 0;
-    reader_->ReInit();
+    reader_->Start();
   }
 
- private:
   int pass_num_;
   mutable int pass_count_;
 };
@@ -60,7 +59,8 @@ class CreateMultiPassReaderOp : public framework::OperatorBase {
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
     int pass_num = Attr<int>("pass_num");
-    out->Reset(new MultiPassReader(underlying_reader.Get(), pass_num));
+    out->Reset(framework::MakeDecoratedReader<MultiPassReader>(
+        underlying_reader, pass_num));
   }
 };
 

paddle/fluid/operators/reader/create_py_reader_op.cc

@@ -19,22 +19,27 @@ namespace paddle {
 namespace operators {
 namespace reader {
 
-class PyReader : public framework::ReaderBase {
+class PyReader : public framework::FileReader {
  public:
-  explicit PyReader(const std::shared_ptr<LoDTensorBlockingQueue>& queue) {
+  explicit PyReader(const std::shared_ptr<LoDTensorBlockingQueue>& queue)
+      : framework::FileReader() {
     PADDLE_ENFORCE(queue != nullptr, "LoDTensorBlockingQueue must not be null");
     queue_ = queue;
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override {
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override {
     bool success;
     *out = queue_->Pop(&success);
     if (!success) out->clear();
   }
 
-  void ReInit() override {}
-
  private:
+  void ShutdownImpl() override { /* TODO */
+  }
+
+  void StartImpl() override { /* TODO */
+  }
+
   std::shared_ptr<LoDTensorBlockingQueue> queue_;
 };
 
@@ -51,14 +56,14 @@ class CreatePyReaderOp : public framework::OperatorBase {
 
     const std::string& queue_name = Input("blocking_queue");
     auto* queue_holder_var = scope.FindVar(queue_name);
-    PADDLE_ENFORCE(
-        queue_holder_var != nullptr,
+    PADDLE_ENFORCE_NOT_NULL(
+        queue_holder_var,
         "No LoDTensorBlockingQueueHolder variable with name %s found",
         queue_name);
     auto* queue_holder =
         queue_holder_var->template GetMutable<LoDTensorBlockingQueueHolder>();
 
-    out->Reset(new PyReader(queue_holder->GetQueue()));
+    out->Reset(std::make_shared<PyReader>(queue_holder->GetQueue()));
   }
 };
 

paddle/fluid/operators/reader/create_random_data_generator_op.cc

@@ -19,11 +19,11 @@ namespace operators {
 namespace reader {
 
 template <typename T>
-class RandomDataGenerator : public framework::ReaderBase {
+class RandomDataGenerator : public framework::FileReader {
  public:
   RandomDataGenerator(const std::vector<framework::DDim>& shapes, float low,
                       float high)
-      : framework::ReaderBase(), low_(low), high_(high), shapes_(shapes) {
+      : framework::FileReader(), low_(low), high_(high), shapes_(shapes) {
     PADDLE_ENFORCE_LE(low, high,
                       "'low' shouldn't be greater than 'high'.(%f vs %f)", low,
                       high);
@@ -32,7 +32,7 @@ class RandomDataGenerator : public framework::ReaderBase {
     dist_ = std::uniform_real_distribution<float>(low_, high_);
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override {
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override {
     out->clear();
     out->reserve(shapes_.size());
     for (const framework::DDim& shape : shapes_) {
@@ -51,8 +51,6 @@ class RandomDataGenerator : public framework::ReaderBase {
     }
   }
 
-  void ReInit() override { return; }
-
  private:
   float low_;
   float high_;
@@ -79,8 +77,8 @@ class CreateRandomDataGeneratorOp : public framework::OperatorBase {
     std::vector<framework::DDim> shapes = RestoreShapes(shape_concat, ranks);
     auto* out = scope.FindVar(Output("Out"))
                     ->template GetMutable<framework::ReaderHolder>();
-    out->Reset(new RandomDataGenerator<T>(shapes, Attr<float>("low"),
-                                          Attr<float>("high")));
+    out->Reset(std::make_shared<RandomDataGenerator<T>>(
+        shapes, Attr<float>("low"), Attr<float>("high")));
   }
 };
 

paddle/fluid/operators/reader/create_recordio_file_reader_op.cc

@@ -21,10 +21,8 @@ namespace reader {
 template <bool ThreadSafe>
 class RecordIOFileReader : public framework::FileReader {
  public:
-  explicit RecordIOFileReader(const std::string& filename,
-                              const std::vector<framework::DDim>& dims)
-      : FileReader(dims),
-        scanner_(filename),
+  explicit RecordIOFileReader(const std::string& filename)
+      : scanner_(filename),
         dev_ctx_(*platform::DeviceContextPool::Instance().Get(
             platform::CPUPlace())) {
     if (ThreadSafe) {
@@ -33,8 +31,6 @@ class RecordIOFileReader : public framework::FileReader {
     LOG(INFO) << "Creating file reader" << filename;
   }
 
-  void ReInit() override { scanner_.Reset(); }
-
  protected:
   void ReadNextImpl(std::vector<framework::LoDTensor>* out) override {
     if (ThreadSafe) {
@@ -45,6 +41,8 @@ class RecordIOFileReader : public framework::FileReader {
     }
   }
 
+  void StartImpl() override { scanner_.Reset(); }
+
  private:
   std::unique_ptr<std::mutex> mutex_;
   recordio::Scanner scanner_;
@@ -58,20 +56,11 @@ class CreateRecordIOReaderOp : public framework::OperatorBase {
  private:
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override {
-    const auto& shape_concat = Attr<std::vector<int>>("shape_concat");
-    const auto& ranks = Attr<std::vector<int>>("ranks");
-    PADDLE_ENFORCE(!shape_concat.empty() && !ranks.empty());
-    PADDLE_ENFORCE_EQ(std::accumulate(ranks.begin(), ranks.end(), 0),
-                      static_cast<int>(shape_concat.size()),
-                      "The accumulate of all ranks should be equal to the "
-                      "shape concat's length.");
     std::string filename = Attr<std::string>("filename");
-
     auto* out = scope.FindVar(Output("Out"))
                     ->template GetMutable<framework::ReaderHolder>();
 
-    out->Reset(new RecordIOFileReader<true>(
-        filename, RestoreShapes(shape_concat, ranks)));
+    out->Reset(std::make_shared<RecordIOFileReader<true>>(filename));
   }
 };
 

paddle/fluid/operators/reader/create_shuffle_reader_op.cc

@@ -34,7 +34,7 @@ class ShuffleReader : public framework::DecoratedReader {
     ReloadBuffer();
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override {
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override {
     out->clear();
     if (iteration_pos_ >= buffer_.size()) {
       VLOG(10) << "Resetting shuffle buffer";
@@ -47,6 +47,17 @@ class ShuffleReader : public framework::DecoratedReader {
   }
 
  private:
+  void ShutdownImpl() override {
+    buffer_.clear();
+    iteration_pos_ = 0;
+    reader_->Shutdown();
+  }
+
+  void StartImpl() override {
+    reader_->Start();
+    ReloadBuffer();
+  }
+
   void ReloadBuffer() {
     buffer_.clear();
     buffer_.reserve(buffer_size_);
@@ -86,9 +97,8 @@ class CreateShuffleReaderOp : public framework::OperatorBase {
     }
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
-    out->Reset(
-        new ShuffleReader(underlying_reader.Get(),
-                          static_cast<size_t>(Attr<int>("buffer_size"))));
+    out->Reset(framework::MakeDecoratedReader<ShuffleReader>(
+        underlying_reader, static_cast<size_t>(Attr<int>("buffer_size"))));
   }
 };
 

paddle/fluid/operators/reader/create_threaded_reader_op.cc

-//   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.
-
-#include "paddle/fluid/operators/detail/safe_ref.h"
-#include "paddle/fluid/operators/reader/reader_op_registry.h"
-
-namespace paddle {
-namespace operators {
-namespace reader {
-
-class ThreadedReader : public framework::DecoratedReader {
- public:
-  explicit ThreadedReader(const std::shared_ptr<ReaderBase>& reader)
-      : DecoratedReader(reader) {}
-
-  void ReadNext(std::vector<framework::LoDTensor>* out) override {
-    std::lock_guard<std::mutex> lock(mutex_);
-    reader_->ReadNext(out);
-  }
-
-  void ReInit() override { reader_->ReInit(); }
-
- private:
-  std::mutex mutex_;
-};
-
-class CreateThreadedReaderOp : public framework::OperatorBase {
- public:
-  using framework::OperatorBase::OperatorBase;
-
- private:
-  void RunImpl(const framework::Scope& scope,
-               const platform::Place& dev_place) const override {
-    auto* out = detail::Ref(scope.FindVar(Output("Out")))
-                    .GetMutable<framework::ReaderHolder>();
-    if (out->Get() != nullptr) {
-      return;
-    }
-    const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
-                                        ->Get<framework::ReaderHolder>();
-    out->Reset(new ThreadedReader(underlying_reader.Get()));
-  }
-};
-
-class CreateThreadedReaderOpMaker : public DecoratedReaderMakerBase {
- protected:
-  void Apply() override {
-    AddComment(R"DOC(
-      CreateThreadedReader Operator
-
-      This operator creates a threaded reader. A threaded reader's
-      'ReadNext()' can be invoked by several threads at the same
-      time.
-      When the attribute 'safe_mode' is true, the threaded reader's
-      'ReInit()' is disabled to avoid unexpected bugs in multi-thread
-      environment.
-    )DOC");
-  }
-};
-
-}  // namespace reader
-}  // namespace operators
-}  // namespace paddle
-
-namespace reader = paddle::operators::reader;
-REGISTER_DECORATED_READER_OPERATOR(create_threaded_reader,
-                                   reader::CreateThreadedReaderOp,
-                                   reader::CreateThreadedReaderOpMaker);

paddle/fluid/operators/reader/open_files_op.cc

@@ -23,24 +23,26 @@ namespace reader {
 
 class MultiFileReader : public framework::ReaderBase {
  public:
-  MultiFileReader(const std::vector<std::string>& file_names,
-                  const std::vector<framework::DDim>& dims, size_t thread_num,
+  MultiFileReader(const std::vector<std::string>& file_names, size_t thread_num,
                   size_t buffer_size)
       : buffer_size_(buffer_size) {
     readers_.reserve(file_names.size());
     for (const std::string& f_name : file_names) {
-      readers_.emplace_back(CreateReaderByFileName(f_name, dims));
+      readers_.emplace_back(CreateReaderByFileName(f_name));
     }
     prefetchers_.resize(thread_num);
     StartNewScheduler();
   }
 
-  void ReadNext(std::vector<framework::LoDTensor>* out) override;
-  void ReInit() override;
+  void ReadNextImpl(std::vector<framework::LoDTensor>* out) override;
 
   ~MultiFileReader() { EndScheduler(); }
 
  private:
+  void ShutdownImpl() override { EndScheduler(); }
+
+  void StartImpl() override { StartNewScheduler(); }
+
   void StartNewScheduler();
   void EndScheduler();
   void ScheduleThreadFunc();
@@ -55,17 +57,12 @@ class MultiFileReader : public framework::ReaderBase {
   reader::BlockingQueue<std::vector<framework::LoDTensor>>* buffer_;
 };
 
-void MultiFileReader::ReadNext(std::vector<framework::LoDTensor>* out) {
+void MultiFileReader::ReadNextImpl(std::vector<framework::LoDTensor>* out) {
   if (!buffer_->Receive(out)) {
     out->clear();
   }
 }
 
-void MultiFileReader::ReInit() {
-  EndScheduler();
-  StartNewScheduler();
-}
-
 void MultiFileReader::StartNewScheduler() {
   size_t thread_num = prefetchers_.size();
   waiting_reader_idx_ = new reader::BlockingQueue<size_t>(readers_.size());
@@ -120,7 +117,7 @@ void MultiFileReader::ScheduleThreadFunc() {
       }
     }
   }
-  // If users invoke ReInit() when scheduler is running, it will close the
+  // If users invoke Shutdown() when scheduler is running, it will close the
   // 'avaiable_thread_idx_' and prefecther threads have no way to tell scheduler
   // to release their resource. So a check is needed before scheduler ends.
   for (auto& p : prefetchers_) {
@@ -138,7 +135,8 @@ void MultiFileReader::PrefetchThreadFunc(size_t reader_idx, size_t thread_idx) {
     std::vector<framework::LoDTensor> ins;
     reader->ReadNext(&ins);
     if (ins.empty()) {
-      reader->ReInit();
+      reader->Shutdown();
+      reader->Start();
       break;
     }
     try {
@@ -180,9 +178,8 @@ class OpenFilesOp : public framework::OperatorBase {
 
     auto* out = scope.FindVar(Output("Out"))
                     ->template GetMutable<framework::ReaderHolder>();
-    out->Reset(new MultiFileReader(file_names,
-                                   RestoreShapes(shape_concat, ranks),
-                                   thread_num, buffer_size));
+    out->Reset(
+        std::make_shared<MultiFileReader>(file_names, thread_num, buffer_size));
   }
 };
 

paddle/fluid/operators/reader/reader_op_registry.cc

@@ -39,7 +39,7 @@ std::unordered_map<std::string, FileReaderCreator>& FileReaderRegistry() {
 }
 
 std::unique_ptr<framework::ReaderBase> CreateReaderByFileName(
-    const std::string& file_name, const std::vector<framework::DDim>& dims) {
+    const std::string& file_name) {
   size_t separator_pos = file_name.find_last_of(kFileFormatSeparator);
   PADDLE_ENFORCE_NE(separator_pos, std::string::npos,
                     "File name illegal! A legal file name should be like: "
@@ -49,7 +49,7 @@ std::unique_ptr<framework::ReaderBase> CreateReaderByFileName(
   auto itor = FileReaderRegistry().find(filetype);
   PADDLE_ENFORCE(itor != FileReaderRegistry().end(),
                  "No file reader registered for '%s' format.", filetype);
-  framework::ReaderBase* reader = (itor->second)(file_name, dims);
+  framework::ReaderBase* reader = (itor->second)(file_name);
   return std::unique_ptr<framework::ReaderBase>(reader);
 }
 

paddle/fluid/operators/reader/reader_op_registry.h

@@ -25,22 +25,21 @@ namespace reader {
 
 static constexpr char kFileFormatSeparator[] = ".";
 
-using FileReaderCreator = std::function<framework::ReaderBase*(
-    const std::string&, const std::vector<framework::DDim>&)>;
+using FileReaderCreator =
+    std::function<framework::ReaderBase*(const std::string&)>;
 
 std::unordered_map<std::string, FileReaderCreator>& FileReaderRegistry();
 
 template <typename Reader>
 int RegisterFileReader(const std::string& filetype) {
-  FileReaderRegistry()[filetype] = [](
-      const std::string& fn, const std::vector<framework::DDim>& dims) {
-    return new Reader(fn, dims);
+  FileReaderRegistry()[filetype] = [](const std::string& fn) {
+    return new Reader(fn);
   };
   return 0;
 }
 
 std::unique_ptr<framework::ReaderBase> CreateReaderByFileName(
-    const std::string& file_name, const std::vector<framework::DDim>& dims);
+    const std::string& file_name);
 
 extern std::vector<framework::DDim> RestoreShapes(
     const std::vector<int>& shape_concat, const std::vector<int>& ranks);

paddle/fluid/pybind/pybind.cc

@@ -296,7 +296,7 @@ All parameter, weight, gradient are variables in Paddle.
            py::return_value_policy::reference);
 
   py::class_<framework::ReaderHolder>(m, "Reader", "")
-      .def("reset", &framework::ReaderHolder::ReInit);
+      .def("reset", &framework::ReaderHolder::ResetAll);
 
   using LoDTensorBlockingQueue =
       ::paddle::operators::reader::LoDTensorBlockingQueue;

python/paddle/fluid/layers/io.py

@@ -375,9 +375,6 @@ def open_recordio_file(filename,
     if pass_num > 1:
         main_prog_var = multi_pass(reader=main_prog_var, pass_num=pass_num)
 
-    if for_parallel:
-        main_prog_var = parallel(reader=main_prog_var)
-
     return monkey_patch_reader_methods(main_prog_var)
 
 
@@ -529,9 +526,6 @@ def open_files(filenames,
         main_prog_reader = multi_pass(
             reader=main_prog_reader, pass_num=pass_num)
 
-    if for_parallel:
-        main_prog_reader = parallel(reader=main_prog_reader)
-
     return monkey_patch_reader_methods(main_prog_reader)
 
 
@@ -647,11 +641,6 @@ def multi_pass(reader, pass_num):
         'create_multi_pass_reader', reader, {'pass_num': int(pass_num)})
 
 
-def parallel(reader):
-    return __create_shared_decorated_reader__('create_threaded_reader', reader,
-                                              {})
-
-
 def read_file(reader):
     """
     Execute the given reader and get data via it.

python/setup.py.in

@@ -156,12 +156,15 @@ if '${WITH_MKL}' == 'ON':
     shutil.copy('${MKLML_IOMP_LIB}', libs_path)
     package_data['paddle.libs']+=['libmklml_intel.so','libiomp5.so']
 if '${WITH_MKLDNN}' == 'ON':
+    # TODO(typhoonzero): use install_name_tool to patch mkl libs once
+    # we can support mkl on mac.
+    #
     # change rpath of libmkldnn.so.0, add $ORIGIN/ to it.
     # The reason is that all thirdparty libraries in the same directory,
     # thus, libmkldnn.so.0 will find libmklml_intel.so and libiomp5.so.
     command = "patchelf --set-rpath '$ORIGIN/' ${MKLDNN_SHARED_LIB}"
     if os.system(command) != 0:
-        raise Exception("patchelf --set-rpath for libmkldnn.so.0 fails")
+        raise Exception("patch libmkldnn.so failed, command: %s" % command)
     package_data['paddle.libs']+=['libmkldnn.so.0']
     shutil.copy('${MKLDNN_SHARED_LIB}', libs_path)
 # remove unused paddle/libs/__init__.py
@@ -172,9 +175,12 @@ package_dir['paddle.libs']=libs_path
 # The reason is that libwarpctc.so, libiomp5.so etc are in paddle.libs, and
 # core.so is in paddle.fluid, thus paddle/fluid/../libs will pointer to above libraries.
 # This operation will fix https://github.com/PaddlePaddle/Paddle/issues/3213
-command = "patchelf --set-rpath '$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so"
+if "@APPLE@" == "1":
+    command = "install_name_tool -id \"@loader_path/../libs/\" ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so"
+else:
+    command = "patchelf --set-rpath '$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so"
 if os.system(command) != 0:
-    raise Exception("patchelf --set-rpath for core.so fails")
+    raise Exception("patch core.so failed, command: %s" % command)
 
 setup(name='${PACKAGE_NAME}',
       version='${PADDLE_VERSION}',