{"action":"created","comment":{"url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments/202300853","pull_request_review_id":136974034,"id":202300853,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIwMjMwMDg1Mw==","diff_hunk":"@@ -198,6 +198,27 @@ Graph InferStorageType(Graph&& graph,\n                        StorageTypeVector&& storage_type_inputs = StorageTypeVector(),\n                        const std::string& storage_type_attr_key = \"\");\n \n+/*! \\brief The default storage type inference function, which assigns all undefined\n+ *         storage types to kDefaultStorage. If all of input and output storage types\n+ *         are kDefaultStorage, DispatchMode::kFCompute is assigned to dispatch_mode. Otherwise,\n+ *         DispatchMode::kFComputeFallback is assigned to dispatch_mode.\n+ */\n+bool DefaultStorageType(const nnvm::NodeAttrs& attrs,\n+                        const int dev_mask,\n+                        DispatchMode* dispatch_mode,\n+                        std::vector<int> *iattr,\n+                        std::vector<int> *oattr);\n+\n+/*!\n+ * \\brief Replace subgraphs by TRT (forward only)\n+ */\n+Graph ReplaceSubgraph(Graph&& g,\n+                      const std::unordered_set<nnvm::Node*>& set_subgraph,\n+                      std::unordered_map<std::string, NDArray>* const params_map);\n+\n+std::vector<std::unordered_set<nnvm::Node*>> GetTrtCompatibleSubsets(const Graph& g,","path":"src/executor/exec_pass.h","position":22,"original_position":22,"commit_id":"62c7118d7a621f44565df5cd53869752fa5f8627","original_commit_id":"426b93214af05cdc863d87e78950aa7aaf953dff","user":{"login":"KellenSunderland","id":7443219,"node_id":"MDQ6VXNlcjc0NDMyMTk=","avatar_url":"https://avatars0.githubusercontent.com/u/7443219?v=4","gravatar_id":"","url":"https://api.github.com/users/KellenSunderland","html_url":"https://github.com/KellenSunderland","followers_url":"https://api.github.com/users/KellenSunderland/followers","following_url":"https://api.github.com/users/KellenSunderland/following{/other_user}","gists_url":"https://api.github.com/users/KellenSunderland/gists{/gist_id}","starred_url":"https://api.github.com/users/KellenSunderland/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/KellenSunderland/subscriptions","organizations_url":"https://api.github.com/users/KellenSunderland/orgs","repos_url":"https://api.github.com/users/KellenSunderland/repos","events_url":"https://api.github.com/users/KellenSunderland/events{/privacy}","received_events_url":"https://api.github.com/users/KellenSunderland/received_events","type":"User","site_admin":false},"body":" I would bring this up on the dev list, and see if anyone suggests a way we can refactor aware from ifdefs towards OO or runtime loadable plugins for example.","created_at":"2018-07-13T09:50:53Z","updated_at":"2018-07-13T09:50:53Z","html_url":"https://github.com/apache/incubator-mxnet/pull/11325#discussion_r202300853","pull_request_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/11325","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments/202300853"},"html":{"href":"https://github.com/apache/incubator-mxnet/pull/11325#discussion_r202300853"},"pull_request":{"href":"https://api.github.com/repos/apache/incubator-mxnet/pulls/11325"}},"in_reply_to_id":202182189},"pull_request":{"url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/11325","id":195567613,"node_id":"MDExOlB1bGxSZXF1ZXN0MTk1NTY3NjEz","html_url":"https://github.com/apache/incubator-mxnet/pull/11325","diff_url":"https://github.com/apache/incubator-mxnet/pull/11325.diff","patch_url":"https://github.com/apache/incubator-mxnet/pull/11325.patch","issue_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11325","number":11325,"state":"open","locked":false,"title":"Added TensorRT runtime integration","user":{"login":"mkolod","id":476135,"node_id":"MDQ6VXNlcjQ3NjEzNQ==","avatar_url":"https://avatars1.githubusercontent.com/u/476135?v=4","gravatar_id":"","url":"https://api.github.com/users/mkolod","html_url":"https://github.com/mkolod","followers_url":"https://api.github.com/users/mkolod/followers","following_url":"https://api.github.com/users/mkolod/following{/other_user}","gists_url":"https://api.github.com/users/mkolod/gists{/gist_id}","starred_url":"https://api.github.com/users/mkolod/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mkolod/subscriptions","organizations_url":"https://api.github.com/users/mkolod/orgs","repos_url":"https://api.github.com/users/mkolod/repos","events_url":"https://api.github.com/users/mkolod/events{/privacy}","received_events_url":"https://api.github.com/users/mkolod/received_events","type":"User","site_admin":false},"body":"## Description ##\r\nThis PR introduces runtime integration of TensorRT into MxNet, in order to accelerate inference. \r\n\r\n## Checklist ##\r\n### Essentials ###\r\nPlease feel free to remove inapplicable items for your PR.\r\n- [x] Test coverage:\r\n  - the end-to-end application of the graph partitioner, NNVM-to-ONNX converer, and TensorRT inference is covered by a test (LeNet-5 on MNIST). The intermediate methods aren't tested, but end-to-end is. \r\n- [x] CI build updates\r\n  - There is a new Docker build for TensorRT, along with a unit test. \r\n- [X] Code is well-documented: \r\n  - Code is fairly documented\r\n  - There is additional documentation regarding the design [here](https://cwiki.apache.org/confluence/display/MXNET/Runtime+Integration+with+TensorRT).\r\n  - A [README](https://github.com/mkolod/incubator-mxnet/blob/tensorrt_integration/docs/api/python/contrib/tensorrt.md) discusses usage\r\n\r\n### Changes ###\r\n- [x] NNVM graph partitioner for TensorRT graph compatibility\r\n- [x] NNVM-to-ONNX converter (for common layers such as convolution, batchnorm, pooling, fully-connected, etc.)\r\n- [x] Git submodule to support the [ONNX-to-TensorRT](https://github.com/onnx/onnx-tensorrt) graph converter  \r\n- [x] Makefile updates to support linking against ONNX, Protobuf (for ONNX) and TensorRT\r\n- [x] Code guards to only enable the TensorRT-inclusive build when USE_TENSORRT flag is added to config.mk\r\n- [x] End-to-end unit test for LeNet-5 on MNIST\r\n- [x] `example/image_classification/tensorrt` example with ResNet-50 on CIFAR-10\r\n\r\n## Comments ##\r\n- The TensorRT 3.0 package only works with CUDA up to 9.0. TensorRT 4.0 is in RC and will soon be GA, and it will support CUDA 9.1 onwards. The build was tested with both TensorRT 3.0 GA and 4.0 RC, but won't be updated to TensorRT 4.0 until it becomes GA.","created_at":"2018-06-18T15:41:49Z","updated_at":"2018-07-13T09:50:53Z","closed_at":null,"merged_at":null,"merge_commit_sha":"1060981cdc1ee82878ca33ebad99132c9debd6ab","assignee":null,"assignees":[],"requested_reviewers":[{"login":"anirudh2290","id":1522319,"node_id":"MDQ6VXNlcjE1MjIzMTk=","avatar_url":"https://avatars1.githubusercontent.com/u/1522319?v=4","gravatar_id":"","url":"https://api.github.com/users/anirudh2290","html_url":"https://github.com/anirudh2290","followers_url":"https://api.github.com/users/anirudh2290/followers","following_url":"https://api.github.com/users/anirudh2290/following{/other_user}","gists_url":"https://api.github.com/users/anirudh2290/gists{/gist_id}","starred_url":"https://api.github.com/users/anirudh2290/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/anirudh2290/subscriptions","organizations_url":"https://api.github.com/users/anirudh2290/orgs","repos_url":"https://api.github.com/users/anirudh2290/repos","events_url":"https://api.github.com/users/anirudh2290/events{/privacy}","received_events_url":"https://api.github.com/users/anirudh2290/received_events","type":"User","site_admin":false},{"login":"szha","id":2626883,"node_id":"MDQ6VXNlcjI2MjY4ODM=","avatar_url":"https://avatars2.githubusercontent.com/u/2626883?v=4","gravatar_id":"","url":"https://api.github.com/users/szha","html_url":"https://github.com/szha","followers_url":"https://api.github.com/users/szha/followers","following_url":"https://api.github.com/users/szha/following{/other_user}","gists_url":"https://api.github.com/users/szha/gists{/gist_id}","starred_url":"https://api.github.com/users/szha/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/szha/subscriptions","organizations_url":"https://api.github.com/users/szha/orgs","repos_url":"https://api.github.com/users/szha/repos","events_url":"https://api.github.com/users/szha/events{/privacy}","received_events_url":"https://api.github.com/users/szha/received_events","type":"User","site_admin":false},{"login":"zhreshold","id":3307514,"node_id":"MDQ6VXNlcjMzMDc1MTQ=","avatar_url":"https://avatars2.githubusercontent.com/u/3307514?v=4","gravatar_id":"","url":"https://api.github.com/users/zhreshold","html_url":"https://github.com/zhreshold","followers_url":"https://api.github.com/users/zhreshold/followers","following_url":"https://api.github.com/users/zhreshold/following{/other_user}","gists_url":"https://api.github.com/users/zhreshold/gists{/gist_id}","starred_url":"https://api.github.com/users/zhreshold/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhreshold/subscriptions","organizations_url":"https://api.github.com/users/zhreshold/orgs","repos_url":"https://api.github.com/users/zhreshold/repos","events_url":"https://api.github.com/users/zhreshold/events{/privacy}","received_events_url":"https://api.github.com/users/zhreshold/received_events","type":"User","site_admin":false},{"login":"marcoabreu","id":18629099,"node_id":"MDQ6VXNlcjE4NjI5MDk5","avatar_url":"https://avatars1.githubusercontent.com/u/18629099?v=4","gravatar_id":"","url":"https://api.github.com/users/marcoabreu","html_url":"https://github.com/marcoabreu","followers_url":"https://api.github.com/users/marcoabreu/followers","following_url":"https://api.github.com/users/marcoabreu/following{/other_user}","gists_url":"https://api.github.com/users/marcoabreu/gists{/gist_id}","starred_url":"https://api.github.com/users/marcoabreu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marcoabreu/subscriptions","organizations_url":"https://api.github.com/users/marcoabreu/orgs","repos_url":"https://api.github.com/users/marcoabreu/repos","events_url":"https://api.github.com/users/marcoabreu/events{/privacy}","received_events_url":"https://api.github.com/users/marcoabreu/received_events","type":"User","site_admin":false}],"requested_teams":[],"labels":[],"milestone":null,"commits_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/11325/commits","review_comments_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/11325/comments","review_comment_url":"https://api.github.com/repos/apache/incubator-mxnet/pulls/comments{/number}","comments_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11325/comments","statuses_url":"https://api.github.com/repos/apache/incubator-mxnet/statuses/62c7118d7a621f44565df5cd53869752fa5f8627","head":{"label":"mkolod:tensorrt_integration","ref":"tensorrt_integration","sha":"62c7118d7a621f44565df5cd53869752fa5f8627","user":{"login":"mkolod","id":476135,"node_id":"MDQ6VXNlcjQ3NjEzNQ==","avatar_url":"https://avatars1.githubusercontent.com/u/476135?v=4","gravatar_id":"","url":"https://api.github.com/users/mkolod","html_url":"https://github.com/mkolod","followers_url":"https://api.github.com/users/mkolod/followers","following_url":"https://api.github.com/users/mkolod/following{/other_user}","gists_url":"https://api.github.com/users/mkolod/gists{/gist_id}","starr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