mkolod commented on a change in pull request #11325: Added TensorRT runtime integration URL: https://github.com/apache/incubator-mxnet/pull/11325#discussion_r197966796
########## File path: src/operator/contrib/nnvm_to_onnx-inl.h ########## @@ -0,0 +1,156 @@ +#ifndef MXNET_OPERATOR_CONTRIB_NNVM_TO_ONNX_INL_H_ +#define MXNET_OPERATOR_CONTRIB_NNVM_TO_ONNX_INL_H_ +/* + * 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-inl.h + * \brief TensorRT Operator + * \author Marek Kolodziej, Clement Fuji Tsang +*/ + +#if MXNET_USE_TENSORRT + +#include <dmlc/logging.h> +#include <dmlc/memory_io.h> +#include <dmlc/serializer.h> +#include <dmlc/parameter.h> +#include <mxnet/base.h> +#include <mxnet/operator.h> +#include <nnvm/graph.h> +#include <nnvm/pass_functions.h> + +#include <NvInfer.h> +#include <onnx/onnx.pb.h> + +#include <algorithm> +#include <iostream> +#include <map> +#include <vector> +#include <tuple> +#include <unordered_map> +#include <utility> +#include <string> + +#include "./tensorrt-inl.h" +#include "../operator_common.h" +#include "../../common/utils.h" +#include "../../common/serialization.h" + +namespace mxnet { +namespace op { +namespace nnvm_to_onnx { + +using namespace nnvm; +using namespace ::onnx; +using int64 = ::google::protobuf::int64; + +std::unordered_map<std::string, TShape> GetPlaceholderShapes(const ShapeVector& shape_inputs, + const nnvm::IndexedGraph& ig); + +std::unordered_map<std::string, uint32_t> GetOutputLookup(const nnvm::IndexedGraph& ig); + +void ConvertPlaceholder( + const std::string& node_name, + const std::unordered_map<std::string, TShape>& placeholder_shapes, + GraphProto* const graph_proto); + +void ConvertConstant(GraphProto* const graph_proto, + const std::string& node_name, + std::unordered_map<std::string, NDArray>* const shared_buffer); + +void ConvertOutput(op::tensorrt::InferenceMap_t* const trt_output_map, + GraphProto* const graph_proto, + const std::unordered_map<std::string, uint32_t>::iterator& out_iter, + const std::string& node_name, + const nnvm::Graph& g, + const StorageTypeVector& storage_types, + const DTypeVector& dtypes); + +typedef void (*ConverterFunction)(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + + +// Forward declarations +void ConvertConvolution( + NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + + +void ConvertPooling(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertActivation(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertFullyConnected(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertSoftmaxOutput(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertFlatten(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertBatchNorm(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +void ConvertElementwiseAdd(NodeProto *node_proto, + const NodeAttrs &attrs, + const nnvm::IndexedGraph &ig, + const array_view<IndexedGraph::NodeEntry> &inputs); + +TRTParam ConvertNnvmGraphToOnnx( + const nnvm::Graph &g, + std::unordered_map<std::string, NDArray> *const shared_buffer); + +static const std::unordered_map<std::string, ConverterFunction> converter_map = { Review comment: @eric-haibin-lin Yes, so far. TensorRT supports more operators, so the list will be expanded once the initial integration is in place. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
