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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/28 23:11:35 UTC

[GitHub] Caenorst commented on a change in pull request #11325: Added TensorRT runtime integration

Caenorst commented on a change in pull request #11325: Added TensorRT runtime integration
URL: https://github.com/apache/incubator-mxnet/pull/11325#discussion_r199014063
 
 

 ##########
 File path: src/executor/tensorrt_pass.cc
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 @@ -0,0 +1,583 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you 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.
+ */
+
+/*!
+ * Copyright (c) 2018 by Contributors
+ * \file tensorrt_pass.cc
+ * \brief Replace TRT compatible subgraphs by TRT engines
+ * \author Clement Fuji Tsang
+ */
+
+#if MXNET_USE_TENSORRT
+
+#include <mxnet/base.h>
+#include <mxnet/operator.h>
+#include <mxnet/op_attr_types.h>
+#include <nnvm/graph_attr_types.h>
+#include <onnx/onnx.pb.h>
+#include <NvInfer.h>
+
+#include "./onnx_to_tensorrt.h"
+#include "./exec_pass.h"
+#include "../operator/contrib/nnvm_to_onnx-inl.h"
+
+namespace mxnet {
+namespace exec {
+
+using NodePtr = nnvm::NodePtr;
+
+/*!
+ * \brief Custom graph class, which will contain bi-directional nodes
+ * we need to compute DFS and reverse DFS for graph partitioning
+ */
+class BidirectionalGraph {
+ public:
+  struct Node {
+    nnvm::Node* nnvmptr;
+    std::vector<Node*> inputs;
+    std::vector<Node*> outputs;
+  };
+  std::vector<Node> nodes;
+  std::unordered_map<nnvm::Node*, uint32_t> nnvm2nid;
+  std::vector<Node*> outputs;
+  static const std::unordered_set<std::string> unconditionalTRTop;
+
+  explicit BidirectionalGraph(const Graph &g) {
+    auto& idx = g.indexed_graph();
+    auto num_nodes = idx.num_nodes();
+    nodes.reserve(num_nodes);
+    nnvm2nid.reserve(num_nodes);
 
 Review comment:
   It's actually not node id in the IndexedGraph but the position in the BidirectionalGraph `std::vector<Node*>` attribute `node` (position 

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