73 lines
2.6 KiB
C++
73 lines
2.6 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_TF2TENSORRT_CONVERT_CONVERT_GRAPH_H_
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#define TENSORFLOW_COMPILER_TF2TENSORRT_CONVERT_CONVERT_GRAPH_H_
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#include <vector>
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#include "tensorflow/compiler/tf2tensorrt/convert/convert_nodes.h"
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#include "tensorflow/core/framework/graph.pb.h"
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#include "tensorflow/core/grappler/clusters/cluster.h"
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#include "tensorflow/core/grappler/grappler_item.h"
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/platform/types.h"
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#if GOOGLE_CUDA
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#if GOOGLE_TENSORRT
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namespace tensorflow {
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namespace tensorrt {
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namespace convert {
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struct ConversionParams {
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const grappler::GrapplerItem* grappler_item = nullptr;
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const std::vector<string>* output_names = nullptr;
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string trt_logger_name;
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size_t max_batch_size = 1;
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size_t max_workspace_size_bytes = 1 << 30;
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GraphDef* output_graph_def = nullptr;
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TrtPrecisionMode precision_mode = TrtPrecisionMode::FP32;
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int minimum_segment_size = 3;
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const grappler::Cluster* cluster = nullptr;
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// Whether to create engine on conversion or execution time
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bool is_dyn_op = false;
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// maximum number of cached engines
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int max_cached_engines = 1;
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bool use_calibration = true;
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bool use_implicit_batch = true;
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bool allow_build_at_runtime = true;
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};
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// Method to call from optimization pass
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Status ConvertAfterShapes(const ConversionParams& params);
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// Helper method for the conversion, expose for testing.
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std::pair<int, Allocator*> GetDeviceAndAllocator(const ConversionParams& params,
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const EngineInfo& engine);
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// Helper method that registers `segment_graph` as a function to the function
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// library in `graph`.
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Status RegisterGraphToFunctionLibrary(const GraphDef& segment_graph_def,
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Graph* graph, const string& engine_name);
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} // namespace convert
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} // namespace tensorrt
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} // namespace tensorflow
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#endif // GOOGLE_TENSORRT
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#endif // GOOGLE_CUDA
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#endif // TENSORFLOW_COMPILER_TF2TENSORRT_CONVERT_CONVERT_GRAPH_H_
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