Merge branch 'develop' into all_data

CMakeLists.txt

@@ -213,9 +213,11 @@ include(configure)          # add paddle env configuration
 if(WITH_GPU)
     include(cuda)
     include(tensorrt)
+endif()
+if(WITH_MKL OR WITH_MKLML)
     include(external/anakin)
 elseif()
-    set(WITH_ANAKIN OFF CACHE STRING "Anakin is used in GPU only now." FORCE)
+    set(WITH_ANAKIN OFF CACHE STRING "Anakin is used in MKL only now." FORCE)
 endif()
 
 include(generic)            # simplify cmake module

cmake/external/anakin.cmake

@@ -16,16 +16,6 @@ set(ANAKIN_LIBRARY     ${ANAKIN_INSTALL_DIR})
 set(ANAKIN_SHARED_LIB  ${ANAKIN_LIBRARY}/libanakin.so)
 set(ANAKIN_SABER_LIB   ${ANAKIN_LIBRARY}/libanakin_saber_common.so)
 
-# TODO(luotao): ANAKIN_MODLE_URL etc will move to demo ci later.
-set(INFERENCE_URL "http://paddle-inference-dist.bj.bcebos.com")
-set(ANAKIN_MODLE_URL "${INFERENCE_URL}/mobilenet_v2.anakin.bin")
-set(ANAKIN_RNN_MODLE_URL "${INFERENCE_URL}/anakin_test%2Fditu_rnn.anakin2.model.bin")
-set(ANAKIN_RNN_DATA_URL "${INFERENCE_URL}/anakin_test%2Fditu_rnn_data.txt")
-execute_process(COMMAND bash -c "mkdir -p ${ANAKIN_SOURCE_DIR}")
-execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_MODLE_URL} -N")
-execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_RNN_MODLE_URL} -N")
-execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_RNN_DATA_URL} -N")
-
 include_directories(${ANAKIN_INCLUDE})
 include_directories(${ANAKIN_INCLUDE}/saber/)
 include_directories(${ANAKIN_INCLUDE}/saber/core/)
@@ -48,6 +38,11 @@ set(ANAKIN_COMPILE_EXTRA_FLAGS
     -Wno-reorder
     -Wno-error=cpp)
 
+if(WITH_GPU)
+    set(CMAKE_ARGS_PREFIX -DUSE_GPU_PLACE=YES -DCUDNN_ROOT=${CUDNN_ROOT} -DCUDNN_INCLUDE_DIR=${CUDNN_INCLUDE_DIR})
+else()
+    set(CMAKE_ARGS_PREFIX -DUSE_GPU_PLACE=NO)
+endif()
 ExternalProject_Add(
     extern_anakin
     ${EXTERNAL_PROJECT_LOG_ARGS}
@@ -56,13 +51,11 @@ ExternalProject_Add(
     GIT_TAG             "9424277cf9ae180a14aff09560d3cd60a49c76d2"
     PREFIX              ${ANAKIN_SOURCE_DIR}
     UPDATE_COMMAND      ""
-    CMAKE_ARGS          -DUSE_GPU_PLACE=YES
+    CMAKE_ARGS          ${CMAKE_ARGS_PREFIX}
                         -DUSE_X86_PLACE=YES
                         -DBUILD_WITH_UNIT_TEST=NO
                         -DPROTOBUF_ROOT=${THIRD_PARTY_PATH}/install/protobuf
                         -DMKLML_ROOT=${THIRD_PARTY_PATH}/install/mklml
-                        -DCUDNN_ROOT=${CUDNN_ROOT}
-                        -DCUDNN_INCLUDE_DIR=${CUDNN_INCLUDE_DIR}
                         -DENABLE_OP_TIMER=${ANAKIN_ENABLE_OP_TIMER}
                         ${EXTERNAL_OPTIONAL_ARGS}
     CMAKE_CACHE_ARGS    -DCMAKE_INSTALL_PREFIX:PATH=${ANAKIN_INSTALL_DIR}

cmake/inference_lib.cmake

@@ -145,7 +145,7 @@ copy(memory_lib
 set(inference_deps paddle_fluid_shared paddle_fluid)
 
 set(module "inference/api")
-if (WITH_ANAKIN AND WITH_GPU)
+if (WITH_ANAKIN AND WITH_MKL)
     copy(anakin_inference_lib DEPS paddle_inference_api inference_anakin_api
         SRCS
         ${PADDLE_BINARY_DIR}/paddle/fluid/inference/api/libinference_anakin_api* # compiled anakin api

doc/fluid/api/layers.rst

@@ -822,6 +822,14 @@ pad
 ..  autofunction:: paddle.fluid.layers.pad
     :noindex:
 
+.. _api_fluid_layers_pad_constant_like:
+
+pad_constant_like
+---
+
+..  autofunction:: paddle.fluid.layers.pad_constant_like
+    :noindex:
+
 .. _api_fluid_layers_label_smooth:
 
 label_smooth
@@ -1145,6 +1153,14 @@ sigmoid
 ..  autofunction:: paddle.fluid.layers.sigmoid
     :noindex:
 
+.. _api_fluid_layers_hsigmoid:
+
+hsigmoid
+-------
+
+..  autofunction:: paddle.fluid.layers.hsigmoid
+    :noindex:
+
 .. _api_fluid_layers_logsigmoid:
 
 logsigmoid

paddle/fluid/inference/analysis/CMakeLists.txt

@@ -6,6 +6,7 @@ cc_library(analysis SRCS pass_manager.cc node.cc data_flow_graph.cc graph_traits
   analyzer.cc
   helper.cc
   # passes
+  analysis_pass.cc
   fluid_to_data_flow_graph_pass.cc
   data_flow_graph_to_fluid_pass.cc
   dfg_graphviz_draw_pass.cc
@@ -99,12 +100,17 @@ inference_analysis_test(test_analyzer_lac SRCS analyzer_lac_tester.cc
 
 
 set(TEXT_CLASSIFICATION_MODEL_URL "http://paddle-inference-dist.bj.bcebos.com/text-classification-Senta.tar.gz")
+set(TEXT_CLASSIFICATION_DATA_URL "http://paddle-inference-dist.bj.bcebos.com/text_classification_data.txt.tar.gz")
 set(TEXT_CLASSIFICATION_INSTALL_DIR "${THIRD_PARTY_PATH}/inference_demo/text_classification" CACHE PATH "Text Classification model and data root." FORCE)
 
 if (NOT EXISTS ${TEXT_CLASSIFICATION_INSTALL_DIR} AND WITH_TESTING AND WITH_INFERENCE)
   inference_download_and_uncompress(${TEXT_CLASSIFICATION_INSTALL_DIR} ${TEXT_CLASSIFICATION_MODEL_URL} "text-classification-Senta.tar.gz")
+  inference_download_and_uncompress(${TEXT_CLASSIFICATION_INSTALL_DIR} ${TEXT_CLASSIFICATION_DATA_URL} "text_classification_data.txt.tar.gz")
 endif()
 
 inference_analysis_test(test_text_classification SRCS analyzer_text_classification_tester.cc
     EXTRA_DEPS paddle_inference_api paddle_fluid_api analysis_predictor
-    ARGS --infer_model=${TEXT_CLASSIFICATION_INSTALL_DIR}/text-classification-Senta)
+    ARGS --infer_model=${TEXT_CLASSIFICATION_INSTALL_DIR}/text-classification-Senta
+         --infer_data=${TEXT_CLASSIFICATION_INSTALL_DIR}/data.txt
+         --topn=1 # Just run top 1 batch.
+    )

paddle/fluid/inference/analysis/pass.cc → paddle/fluid/inference/analysis/analysis_pass.cc

@@ -12,4 +12,4 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/inference/analysis/pass.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"

paddle/fluid/inference/analysis/pass.h → paddle/fluid/inference/analysis/analysis_pass.h

@@ -28,10 +28,10 @@ namespace paddle {
 namespace inference {
 namespace analysis {
 
-class Pass {
+class AnalysisPass {
  public:
-  Pass() = default;
-  virtual ~Pass() = default;
+  AnalysisPass() = default;
+  virtual ~AnalysisPass() = default;
   // Mutable Pass.
   virtual bool Initialize(Argument *argument) { return false; }
   // Readonly Pass.
@@ -42,23 +42,16 @@ class Pass {
   virtual bool Finalize() { return false; }
 
   // Get a Pass appropriate to print the Node this pass operates on.
-  virtual Pass *CreatePrinterPass(std::ostream &os,
-                                  const std::string &banner) const {
+  virtual AnalysisPass *CreatePrinterPass(std::ostream &os,
+                                          const std::string &banner) const {
     return nullptr;
   }
 
   // Create a debugger Pass that draw the DFG by graphviz toolkit.
-  virtual Pass *CreateGraphvizDebugerPass() const { return nullptr; }
+  virtual AnalysisPass *CreateGraphvizDebugerPass() const { return nullptr; }
 
-  virtual void Run() { LOG(FATAL) << "not valid"; }
-  // Run on a single Node.
-  virtual void Run(Node *x) { LOG(FATAL) << "not valid"; }
-  // Run on a single Function.
-  virtual void Run(Function *x) { LOG(FATAL) << "not valid"; }
-  // Run on a single FunctionBlock.
-  virtual void Run(FunctionBlock *x) { LOG(FATAL) << "not valid"; }
   // Run on a single DataFlowGraph.
-  virtual void Run(DataFlowGraph *x) { LOG(FATAL) << "not valid"; }
+  virtual void Run(DataFlowGraph *x) = 0;
 
   // Human-readable short representation.
   virtual std::string repr() const = 0;
@@ -66,29 +59,8 @@ class Pass {
   virtual std::string description() const { return "No DOC"; }
 };
 
-// NodePass process on any Node types.
-class NodePass : public Pass {
- public:
-  virtual void Run(Node *node) = 0;
-};
-
-// NodePass process on any Function node types.
-class FunctionPass : public Pass {
- public:
-  virtual void Run(Function *node) = 0;
-};
-
-// NodePass process on any FunctionBlock node types.
-class FunctionBlockPass : public Pass {
- public:
-  virtual void Run(FunctionBlock *node) = 0;
-};
-
 // GraphPass processes on any GraphType.
-class DataFlowGraphPass : public Pass {
- public:
-  virtual void Run(DataFlowGraph *graph) = 0;
-};
+class DataFlowGraphPass : public AnalysisPass {};
 
 }  // namespace analysis
 }  // namespace inference

paddle/fluid/inference/analysis/analyzer.cc

@@ -15,6 +15,7 @@
 #include "paddle/fluid/inference/analysis/analyzer.h"
 #include <string>
 #include <vector>
+
 #include "paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass.h"
 #include "paddle/fluid/inference/analysis/dfg_graphviz_draw_pass.h"
 #include "paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h"
@@ -58,7 +59,7 @@ class DfgPassManagerImpl final : public DfgPassManager {
   std::string description() const override { return "DFG pass manager."; }
 
  private:
-  void AddPass(const std::string& name, Pass* pass) {
+  void AddPass(const std::string& name, AnalysisPass* pass) {
     VLOG(3) << "Adding pass " << name;
     Register(name, pass);
     AddGraphvizDebugerPass(pass);
@@ -87,7 +88,7 @@ class DfgPassManagerImpl final : public DfgPassManager {
   }
 
   // Add the graphviz debuger pass if the parent pass has one.
-  void AddGraphvizDebugerPass(Pass* pass) {
+  void AddGraphvizDebugerPass(AnalysisPass* pass) {
     auto* debuger_pass = pass->CreateGraphvizDebugerPass();
     if (debuger_pass) {
       Register(debuger_pass->repr(), debuger_pass);

paddle/fluid/inference/analysis/analyzer.h

@@ -36,8 +36,11 @@ limitations under the License. */
  */
 
 #include <gflags/gflags.h>
+#include <string>
+#include <vector>
+
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/flags.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 #include "paddle/fluid/inference/analysis/pass_manager.h"
 
 namespace paddle {

paddle/fluid/inference/analysis/analyzer_text_classification_tester.cc

@@ -16,6 +16,7 @@
 #include <gflags/gflags.h>
 #include <glog/logging.h>  // use glog instead of PADDLE_ENFORCE to avoid importing other paddle header files.
 #include <gtest/gtest.h>
+#include <fstream>
 #include "paddle/fluid/framework/ir/pass.h"
 #include "paddle/fluid/inference/analysis/ut_helper.h"
 #include "paddle/fluid/inference/api/helper.h"
@@ -27,43 +28,70 @@ DEFINE_string(infer_model, "", "Directory of the inference model.");
 DEFINE_string(infer_data, "", "Path of the dataset.");
 DEFINE_int32(batch_size, 1, "batch size.");
 DEFINE_int32(repeat, 1, "How many times to repeat run.");
+DEFINE_int32(topn, -1, "Run top n batches of data to save time");
 
 namespace paddle {
 namespace inference {
 
-void Main(int batch_size) {
-  // Three sequence inputs.
-  std::vector<PaddleTensor> input_slots(1);
-  // one batch starts
-  // data --
-  int64_t data0[] = {0, 1, 2};
-  for (auto &input : input_slots) {
-    input.data.Reset(data0, sizeof(data0));
-    input.shape = std::vector<int>({3, 1});
-    // dtype --
-    input.dtype = PaddleDType::INT64;
-    // LoD --
-    input.lod = std::vector<std::vector<size_t>>({{0, 3}});
+struct DataReader {
+  explicit DataReader(const std::string &path)
+      : file(new std::ifstream(path)) {}
+
+  bool NextBatch(PaddleTensor *tensor, int batch_size) {
+    PADDLE_ENFORCE_EQ(batch_size, 1);
+    std::string line;
+    tensor->lod.clear();
+    tensor->lod.emplace_back(std::vector<size_t>({0}));
+    std::vector<int64_t> data;
+
+    for (int i = 0; i < batch_size; i++) {
+      if (!std::getline(*file, line)) return false;
+      inference::split_to_int64(line, ' ', &data);
+    }
+    tensor->lod.front().push_back(data.size());
+
+    tensor->data.Resize(data.size() * sizeof(int64_t));
+    memcpy(tensor->data.data(), data.data(), data.size() * sizeof(int64_t));
+    tensor->shape.clear();
+    tensor->shape.push_back(data.size());
+    tensor->shape.push_back(1);
+    return true;
   }
 
+  std::unique_ptr<std::ifstream> file;
+};
+
+void Main(int batch_size) {
   // shape --
   // Create Predictor --
   AnalysisConfig config;
   config.model_dir = FLAGS_infer_model;
   config.use_gpu = false;
   config.enable_ir_optim = true;
-  config.ir_passes.push_back("fc_lstm_fuse_pass");
   auto predictor =
       CreatePaddlePredictor<AnalysisConfig, PaddleEngineKind::kAnalysis>(
           config);
 
+  std::vector<PaddleTensor> input_slots(1);
+  // one batch starts
+  // data --
+  auto &input = input_slots[0];
+  input.dtype = PaddleDType::INT64;
+
   inference::Timer timer;
   double sum = 0;
   std::vector<PaddleTensor> output_slots;
-  for (int i = 0; i < FLAGS_repeat; i++) {
-    timer.tic();
-    CHECK(predictor->Run(input_slots, &output_slots));
-    sum += timer.toc();
+
+  int num_batches = 0;
+  for (int t = 0; t < FLAGS_repeat; t++) {
+    DataReader reader(FLAGS_infer_data);
+    while (reader.NextBatch(&input, FLAGS_batch_size)) {
+      if (FLAGS_topn > 0 && num_batches > FLAGS_topn) break;
+      timer.tic();
+      CHECK(predictor->Run(input_slots, &output_slots));
+      sum += timer.toc();
+      ++num_batches;
+    }
   }
   PrintTime(batch_size, FLAGS_repeat, 1, 0, sum / FLAGS_repeat);
 

paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass.cc

@@ -263,7 +263,7 @@ class DFG_DebuggerPass : public DFG_GraphvizDrawPass {
 };
 }  // namespace
 
-Pass *DataFlowGraphToFluidPass::CreateGraphvizDebugerPass() const {
+AnalysisPass *DataFlowGraphToFluidPass::CreateGraphvizDebugerPass() const {
   return new DFG_DebuggerPass(DFG_GraphvizDrawPass::Config(
       FLAGS_IA_graphviz_log_root,
       "data_flow_graph_to_fluid_graphviz_debugger"));

paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass.h

@@ -21,8 +21,8 @@
 
 #include <string>
 #include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 
 namespace paddle {
 namespace inference {
@@ -42,7 +42,7 @@ class DataFlowGraphToFluidPass final : public DataFlowGraphPass {
     return "Transform a DFG to a Fluid ProgramDesc";
   }
 
-  Pass *CreateGraphvizDebugerPass() const override;
+  AnalysisPass *CreateGraphvizDebugerPass() const override;
 
  protected:
   // Add a Fluid Op into the ProgramDesc.

paddle/fluid/inference/analysis/dfg_graphviz_draw_pass.h

@@ -21,8 +21,8 @@ limitations under the License. */
 
 #include <fstream>
 #include <string>
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/dot.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 
 namespace paddle {
 namespace inference {

paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.cc

@@ -66,7 +66,7 @@ class DFG_DebuggerPass : public DFG_GraphvizDrawPass {
 };
 }
 
-Pass *FluidToDataFlowGraphPass::CreateGraphvizDebugerPass() const {
+AnalysisPass *FluidToDataFlowGraphPass::CreateGraphvizDebugerPass() const {
   return new DFG_DebuggerPass(DFG_GraphvizDrawPass::Config(
       FLAGS_IA_graphviz_log_root, "fluid-to-dfg-debuger"));
 }

paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h

@@ -22,8 +22,8 @@
 #include <string>
 
 #include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/data_flow_graph.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 
 namespace paddle {
 namespace inference {
@@ -46,7 +46,7 @@ class FluidToDataFlowGraphPass final : public DataFlowGraphPass {
     return "transform a fluid ProgramDesc to a data flow graph.";
   }
 
-  Pass *CreateGraphvizDebugerPass() const override;
+  AnalysisPass *CreateGraphvizDebugerPass() const override;
 
  private:
   framework::proto::ProgramDesc const *desc_;

paddle/fluid/inference/analysis/fluid_to_ir_pass.h

@@ -14,15 +14,17 @@
 
 #pragma once
 
+#include <string>
+#include <vector>
+
 #include "paddle/fluid/framework/ir/fuse_pass_base.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/flags.h"
 #include "paddle/fluid/inference/analysis/ir_pass_manager.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 
 namespace paddle {
 namespace inference {
 namespace analysis {
-using namespace framework;
 
 static const char kFluidToIrPassesAttr[] = "__fluid_to_ir_passes__";
 
@@ -48,7 +50,8 @@ class FluidToIrPass final : public DataFlowGraphPass {
     ANALYSIS_ARGUMENT_CHECK_FIELD(argument->fluid_model_program_path);
     // Load program.
     auto program = LoadProgramDesc(*argument->fluid_model_program_path);
-    argument->origin_program_desc.reset(new proto::ProgramDesc(program));
+    argument->origin_program_desc.reset(
+        new framework::proto::ProgramDesc(program));
     // Create main data flow graph.
     if (!argument->main_dfg) {
       argument->main_dfg.reset(new DataFlowGraph);
@@ -78,12 +81,13 @@ class FluidToIrPass final : public DataFlowGraphPass {
     IRPassManager ir_passes(argument_->Get<ProgramDesc>("ir_program_desc"),
                             nullptr);
     // Pass the scope from analysis to IR if needed.
-    if (argument_->Has(ir::kParamScopeAttr)) {
+    if (argument_->Has(framework::ir::kParamScopeAttr)) {
       // Here the address is passed, attention that IR doesn't own the scope, so
       // the real scope in analysis should live during the IR phase.
       ir_passes.graph().Set(
-          ir::kParamScopeAttr,
-          new Scope *(&argument_->Get<Scope>(ir::kParamScopeAttr)));
+          framework::ir::kParamScopeAttr,
+          new framework::Scope *(&argument_->Get<framework::Scope>(
+              framework::ir::kParamScopeAttr)));
     }
 
     if (FLAGS_IA_enable_ir) {
@@ -95,12 +99,12 @@ class FluidToIrPass final : public DataFlowGraphPass {
     PADDLE_ENFORCE(argument_->main_dfg.get());
     argument_->main_dfg->Build(ir_passes.graph());
     // inherit the arguments from ir.
-    if (ir_passes.graph().Has(ir::kFuseStatisAttr)) {
+    if (ir_passes.graph().Has(framework::ir::kFuseStatisAttr)) {
       argument_->Set(
-          ir::kFuseStatisAttr,
+          framework::ir::kFuseStatisAttr,
           new std::unordered_map<std::string, int>(
               ir_passes.graph().Get<std::unordered_map<std::string, int>>(
-                  ir::kFuseStatisAttr)));
+                  framework::ir::kFuseStatisAttr)));
     }
   }
 
@@ -112,7 +116,7 @@ class FluidToIrPass final : public DataFlowGraphPass {
 
  private:
   // Load parameters from a single file or from a directory.
-  bool LoadParams(Scope *scope, const std::string &dir,
+  bool LoadParams(framework::Scope *scope, const std::string &dir,
                   const std::string &prog_file, const std::string &param_file);
 
  private:

paddle/fluid/inference/analysis/model_store_pass.h

@@ -19,7 +19,7 @@
 
 #pragma once
 #include <string>
-#include "paddle/fluid/inference/analysis/pass.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 
 namespace paddle {
 namespace inference {

paddle/fluid/inference/analysis/pass_manager.cc

@@ -40,17 +40,6 @@ void DfgPassManager::RunAll() {
   }
 }
 
-void NodePassManager::RunAll() {
-  PADDLE_ENFORCE(argument_);
-  PADDLE_ENFORCE(argument_->main_dfg.get());
-  auto trait = GraphTraits<DataFlowGraph>(*argument_->main_dfg).nodes_in_DFS();
-  for (auto& node : trait) {
-    for (auto& pass : data_) {
-      pass->Run(&node);
-    }
-  }
-}
-
 }  // namespace analysis
 }  // namespace inference
 }  // namespace paddle

paddle/fluid/inference/analysis/pass_manager.h

@@ -33,7 +33,7 @@ limitations under the License. */
 
 #include <string>
 #include "paddle/fluid/framework/program_desc.h"
-#include "paddle/fluid/inference/analysis/pass.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 
 namespace paddle {
 namespace inference {
@@ -43,7 +43,7 @@ namespace analysis {
  * PassManager is the base class for all pass managers, a pass manager has
  * several Pass-es registered, and execute them in the linear order.
  */
-class PassManager : public OrderedRegistry<Pass> {
+class PassManager : public OrderedRegistry<AnalysisPass> {
  public:
   PassManager() = default;
   // Call all the passes' Initialize methods. The desc and data_flow_graph are
@@ -89,18 +89,6 @@ class DfgPassManager : public PassManager {
   virtual ~DfgPassManager() = default;
 };
 
-/*
- * A pass manager that process a Node each time.
- */
-class NodePassManager : public PassManager {
- public:
-  NodePassManager() = default;
-
-  void RunAll() override;
-
-  virtual ~NodePassManager() = default;
-};
-
 }  // namespace analysis
 }  // namespace inference
 }  // namespace paddle

paddle/fluid/inference/analysis/pass_manager_tester.cc

@@ -34,28 +34,6 @@ class TestDfgPassManager final : public DfgPassManager {
   std::string description() const override { return "test doc"; }
 };
 
-class TestNodePassManager final : public NodePassManager {
- public:
-  virtual ~TestNodePassManager() = default;
-
-  std::string repr() const override { return "test-node-pass-manager"; }
-  std::string description() const override { return "test doc"; }
-};
-
-class TestNodePass final : public NodePass {
- public:
-  virtual ~TestNodePass() = default;
-
-  bool Initialize(Argument* argument) override { return true; }
-
-  void Run(Node* node) override {
-    LOG(INFO) << "- Processing node " << node->repr();
-  }
-
-  std::string repr() const override { return "test-node"; }
-  std::string description() const override { return "some doc"; }
-};
-
 TEST(PassManager, DFG_pass_manager) {
   TestDfgPassManager manager;
   DFG_GraphvizDrawPass::Config config("./", "dfg.dot");
@@ -71,19 +49,6 @@ TEST(PassManager, DFG_pass_manager) {
   manager.RunAll();
 }
 
-TEST(PassManager, Node_pass_manager) {
-  Argument argument(FLAGS_inference_model_dir);
-  // Pre-process: initialize the DFG with the ProgramDesc first.
-  FluidToDataFlowGraphPass pass0;
-  pass0.Initialize(&argument);
-  pass0.Run(argument.main_dfg.get());
-
-  TestNodePassManager manager;
-  manager.Register("test-node-pass", new TestNodePass);
-  ASSERT_TRUE(manager.Initialize(&argument));
-  manager.RunAll();
-}
-
 }  // namespace analysis
 }  // namespace inference
 }  // namespace paddle

paddle/fluid/inference/analysis/tensorrt_subgraph_node_mark_pass.cc

@@ -68,7 +68,7 @@ class DfgDebuggerPass : public DFG_GraphvizDrawPass {
   }
 };
 
-Pass *TensorRTSubgraphNodeMarkPass::CreateGraphvizDebugerPass() const {
+AnalysisPass *TensorRTSubgraphNodeMarkPass::CreateGraphvizDebugerPass() const {
   DFG_GraphvizDrawPass::Config config(FLAGS_IA_graphviz_log_root,
                                       "tensorrt_marked_node");
   return new DfgDebuggerPass(config);

paddle/fluid/inference/analysis/tensorrt_subgraph_node_mark_pass.h

@@ -20,7 +20,7 @@
 #pragma once
 
 #include <string>
-#include "paddle/fluid/inference/analysis/pass.h"
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/subgraph_splitter.h"
 
 namespace paddle {
@@ -48,7 +48,7 @@ class TensorRTSubgraphNodeMarkPass : public DataFlowGraphPass {
     return "tensorrt sub-graph mark pass";
   }
 
-  Pass* CreateGraphvizDebugerPass() const override;
+  AnalysisPass* CreateGraphvizDebugerPass() const override;
   bool Finalize() override;
 
  private:

paddle/fluid/inference/analysis/tensorrt_subgraph_pass.h

@@ -15,8 +15,8 @@ limitations under the License. */
 #pragma once
 
 #include <string>
+#include "paddle/fluid/inference/analysis/analysis_pass.h"
 #include "paddle/fluid/inference/analysis/node.h"
-#include "paddle/fluid/inference/analysis/pass.h"
 #include "paddle/fluid/inference/analysis/subgraph_splitter.h"
 
 namespace paddle {

paddle/fluid/inference/api/CMakeLists.txt

@@ -61,7 +61,7 @@ cc_library(paddle_inference_tensorrt_subgraph_engine
 inference_api_test(test_api_tensorrt_subgraph_engine SRC api_tensorrt_subgraph_engine_tester.cc ARGS test_word2vec)
 endif()
 
-if (WITH_ANAKIN AND WITH_GPU) # only needed in CI
+if (WITH_ANAKIN AND WITH_MKL) # only needed in CI
     # compile the libinference_anakin_api.a and anakin.so.
     cc_library(inference_anakin_api SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber mklml)
     cc_library(inference_anakin_api_shared SHARED SRCS api.cc api_anakin_engine.cc DEPS anakin_shared anakin_saber)
@@ -71,12 +71,24 @@ if (WITH_ANAKIN AND WITH_GPU) # only needed in CI
     anakin_target(inference_anakin_api)
     anakin_target(inference_anakin_api_shared)
     if (WITH_TESTING)
-        cc_test(api_anakin_engine_tester SRCS api_anakin_engine_tester.cc 
-                ARGS --model=${ANAKIN_SOURCE_DIR}/mobilenet_v2.anakin.bin
-                DEPS inference_anakin_api_shared dynload_cuda SERIAL)
+        # TODO(luotao): ANAKIN_MODLE_URL etc will move to demo ci later.
+        set(INFERENCE_URL "http://paddle-inference-dist.bj.bcebos.com")
+        set(ANAKIN_RNN_MODLE_URL "${INFERENCE_URL}/anakin_test%2Fditu_rnn.anakin2.model.bin")
+        set(ANAKIN_RNN_DATA_URL "${INFERENCE_URL}/anakin_test%2Fditu_rnn_data.txt")
+        execute_process(COMMAND bash -c "mkdir -p ${ANAKIN_SOURCE_DIR}")
+        execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_RNN_MODLE_URL} -N")
+        execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_RNN_DATA_URL} -N")
+        if(WITH_GPU)
+            set(anakin_test_extra_deps dynload_cuda)
+            set(ANAKIN_MODLE_URL "${INFERENCE_URL}/mobilenet_v2.anakin.bin")
+            execute_process(COMMAND bash -c "cd ${ANAKIN_SOURCE_DIR}; wget -q --no-check-certificate ${ANAKIN_MODLE_URL} -N")
+            cc_test(api_anakin_engine_tester SRCS api_anakin_engine_tester.cc 
+                    ARGS --model=${ANAKIN_SOURCE_DIR}/mobilenet_v2.anakin.bin
+                    DEPS inference_anakin_api_shared ${anakin_test_extra_deps} SERIAL)
+        endif()
         cc_test(api_anakin_engine_rnn_tester SRCS api_anakin_engine_rnn_tester.cc 
                 ARGS --model=${ANAKIN_SOURCE_DIR}/anakin_test%2Fditu_rnn.anakin2.model.bin 
                      --datapath=${ANAKIN_SOURCE_DIR}/anakin_test%2Fditu_rnn_data.txt
-                DEPS inference_anakin_api_shared dynload_cuda SERIAL)
+                DEPS inference_anakin_api_shared ${anakin_test_extra_deps} SERIAL)
     endif(WITH_TESTING)
 endif()

paddle/fluid/inference/api/api_anakin_engine.cc

@@ -193,7 +193,9 @@ PaddleInferenceAnakinPredictor<Target>::Clone() {
   return std::move(cls);
 }
 
+#ifdef PADDLE_WITH_CUDA
 template class PaddleInferenceAnakinPredictor<anakin::NV>;
+#endif
 template class PaddleInferenceAnakinPredictor<anakin::X86>;
 
 // A factory to help create difference predictor.
@@ -202,10 +204,15 @@ std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<
     AnakinConfig, PaddleEngineKind::kAnakin>(const AnakinConfig &config) {
   VLOG(3) << "Anakin Predictor create.";
   if (config.target_type == AnakinConfig::NVGPU) {
+#ifdef PADDLE_WITH_CUDA
     VLOG(3) << "Anakin Predictor create on [ NVIDIA GPU ].";
     std::unique_ptr<PaddlePredictor> x(
         new PaddleInferenceAnakinPredictor<anakin::NV>(config));
     return x;
+#else
+    LOG(ERROR) << "AnakinConfig::NVGPU could not used in ONLY-CPU environment";
+    return nullptr;
+#endif
   } else if (config.target_type == AnakinConfig::X86) {
     VLOG(3) << "Anakin Predictor create on [ Intel X86 ].";
     std::unique_ptr<PaddlePredictor> x(