concat op converter && mobilenet && resnet && map cnn model support

(cherry-pick from commit 3de45566)

paddle/fluid/inference/analysis/analyzer.cc

@@ -45,7 +45,7 @@ class DfgPassManagerImpl final : public DfgPassManager {
       auto trt_teller = [&](const Node* node) {
         std::unordered_set<std::string> teller_set(
             {"elementwise_add", "mul", "conv2d", "pool2d", "relu", "softmax",
-             "depthwise_conv2d", "batch_norm"});
+             "depthwise_conv2d", "batch_norm", "concat"});
         if (!node->IsFunction()) return false;
 
         const auto* func = static_cast<const Function*>(node);

paddle/fluid/inference/api/api_tensorrt_subgraph_engine.cc

@@ -32,6 +32,7 @@ class TensorRTSubgraphPredictor : public NativePaddlePredictor {
       : NativePaddlePredictor(config), config_(config) {}
 
   bool Init(const std::shared_ptr<framework::Scope>& parent_scope) {
+    FLAGS_IA_enable_tensorrt_subgraph_engine = true;
     VLOG(3) << "Predictor::init()";
     FLAGS_tensorrt_max_batch_size = config_.max_batch_size;
     FLAGS_tensorrt_workspace_size = config_.workspace_size;
@@ -161,3 +162,4 @@ USE_TRT_CONVERTER(fc);
 USE_TRT_CONVERTER(pool2d);
 USE_TRT_CONVERTER(softmax);
 USE_TRT_CONVERTER(batch_norm);
+USE_TRT_CONVERTER(concat);

paddle/fluid/inference/tensorrt/convert/CMakeLists.txt

 # Add TRT tests
 nv_library(tensorrt_converter
   SRCS mul_op.cc conv2d_op.cc fc_op.cc pool2d_op.cc elementwise_op.cc
-batch_norm_op.cc activation_op.cc softmax_op.cc 
+batch_norm_op.cc activation_op.cc softmax_op.cc concat_op.cc
   DEPS tensorrt_engine operator scope framework_proto op_registry)
 
 nv_test(test_op_converter SRCS test_op_converter.cc DEPS
@@ -18,12 +18,12 @@ nv_test(test_trt_conv_op SRCS test_conv2d_op.cc conv2d_op.cc
         DEPS ${FLUID_CORE_MODULES} tensorrt_engine conv_op SERIAL)
 nv_test(test_trt_pool2d_op SRCS test_pool2d_op.cc pool2d_op.cc
         DEPS ${FLUID_CORE_MODULES} tensorrt_engine pool_op SERIAL)
-
 nv_test(test_trt_elementwise_op SRCS test_elementwise_op.cc elementwise_op.cc
         DEPS ${FLUID_CORE_MODULES} tensorrt_engine elementwise_add_op SERIAL)
-
 nv_test(test_trt_softmax_op SRCS test_softmax_op.cc softmax_op.cc
         DEPS ${FLUID_CORE_MODULES} tensorrt_engine softmax_op SERIAL)
-
 nv_test(test_trt_batch_norm_op SRCS test_batch_norm_op.cc batch_norm_op.cc
         DEPS ${FLUID_CORE_MODULES} tensorrt_engine batch_norm_op SERIAL)
+
+nv_test(test_trt_concat_op SRCS test_concat_op.cc concat_op.cc
+        DEPS ${FLUID_CORE_MODULES} tensorrt_engine concat_op SERIAL)

paddle/fluid/inference/tensorrt/convert/concat_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/inference/tensorrt/convert/op_converter.h"
+
+namespace paddle {
+namespace inference {
+namespace tensorrt {
+
+/*
+ * MulOp, IMatrixMultiplyLayer in TRT. This Layer doesn't has weights.
+ */
+class ConcatOpConverter : public OpConverter {
+ public:
+  void operator()(const framework::proto::OpDesc& op,
+                  const framework::Scope& scope, bool test_mode) override {
+    VLOG(4) << "convert a fluid mul op to tensorrt mul layer without bias";
+
+    framework::OpDesc op_desc(op, nullptr);
+    // Declare inputs
+    std::vector<nvinfer1::ITensor*> itensors;
+    for (auto& input_name : op_desc.Input("X")) {
+      itensors.push_back(engine_->GetITensor(input_name));
+    }
+    int axis = boost::get<int>(op_desc.GetAttr("axis"));
+    PADDLE_ENFORCE(axis > 0,
+                   "The axis attr of Concat op should be large than 0 for trt");
+
+    auto* layer = TRT_ENGINE_ADD_LAYER(engine_, Concatenation, itensors.data(),
+                                       itensors.size());
+    axis = axis - 1;  // Remove batch dim
+    layer->setAxis(axis);
+    auto output_name = op_desc.Output("Out")[0];
+    engine_->SetITensor(output_name, layer->getOutput(0));
+    if (test_mode) {  // the test framework can not determine which is the
+                      // output, so place the declaration inside.
+      engine_->DeclareOutput(output_name);
+    }
+  }
+};
+
+}  // namespace tensorrt
+}  // namespace inference
+}  // namespace paddle
+
+REGISTER_TRT_OP_CONVERTER(concat, ConcatOpConverter);

paddle/fluid/inference/tensorrt/convert/op_converter.h

@@ -79,6 +79,14 @@ class OpConverter {
         it =
             Registry<OpConverter>::Lookup("elementwise_" + op_type + "_tensor");
       }
+      PADDLE_ENFORCE_NOT_NULL(it, "no OpConverter for optype [%s]",
+                              op_desc.Type());
+    }
+
+    if (op_desc.Type() == "depthwise_conv2d") {
+      it = Registry<OpConverter>::Lookup("conv2d");
+      PADDLE_ENFORCE_NOT_NULL(it, "no OpConverter for optype [%s]",
+                              op_desc.Type());
     }
 
     if (!it) {

paddle/fluid/inference/tensorrt/convert/test_concat_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 <gtest/gtest.h>
+#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"
+#include "paddle/fluid/inference/tensorrt/convert/ut_helper.h"
+
+namespace paddle {
+namespace inference {
+namespace tensorrt {
+
+TEST(concat_op, test) {
+  std::unordered_set<std::string> parameters({""});
+  framework::Scope scope;
+  TRTConvertValidation validator(10, parameters, scope, 1000);
+  validator.DeclInputVar("concat_x1", nvinfer1::DimsCHW(10, 3, 1));
+  validator.DeclInputVar("concat_x2", nvinfer1::DimsCHW(3, 3, 1));
+  validator.DeclInputVar("concat_x3", nvinfer1::DimsCHW(7, 3, 1));
+  validator.DeclOutputVar("concat_out", nvinfer1::DimsCHW(20, 3, 1));
+
+  // Prepare Op description
+  framework::OpDesc desc;
+  desc.SetType("concat");
+  desc.SetInput("X", {"concat_x1", "concat_x2", "concat_x3"});
+  desc.SetOutput("Out", {"concat_out"});
+
+  int axis = 1;
+  desc.SetAttr("axis", axis);
+
+  validator.SetOp(*desc.Proto());
+
+  validator.Execute(5);
+}
+
+}  // namespace tensorrt
+}  // namespace inference
+}  // namespace paddle
+USE_OP(concat);