tensorflow::tensorrt

Summary

Functions
ConvertAndBuild(const GraphDef & frozen_graph_def, const std::vector< string > & input_names, const std::vector< string > & output_names, const std::vector< std::vector< tensorflow::Tensor >> & inputs, const TfTrtConversionParams & conv_params)	StatusOr< GraphDef > Converts the graph with TF-TRT.
ConvertAndBuild(SavedModelBundle *bundle, const std::string & signature_key, const std::vector< std::vector< tensorflow::Tensor >> & inputs, const TfTrtConversionParams & conversion_params)	StatusOr< GraphDef >

Structs
tensorflow::tensorrt::TfTrtConversionParams

Functions

ConvertAndBuild

StatusOr< GraphDef > ConvertAndBuild(
  const GraphDef & frozen_graph_def,
  const std::vector< string > & input_names,
  const std::vector< string > & output_names,
  const std::vector< std::vector< tensorflow::Tensor >> & inputs,
  const TfTrtConversionParams & conv_params
)

Converts the graph with TF-TRT.

Performs TF-TRT conversion and returns the converted GraphDef. If inputs is not empty and convert_to_static_engine is requested, we also build the engines and convert the engines to static engines.

Arguments:

• frozen_graph_def input graph, it is assumed to be frozen
• input_names names of the input tensors
• output_names names of the output tensors
• inputs tensors that we will use as input while building the TRT engines
• conv_params parameters for the TF-TRT conversion

Returns the converted graph_def.

ConvertAndBuild

StatusOr< GraphDef > ConvertAndBuild(
  SavedModelBundle *bundle,
  const std::string & signature_key,
  const std::vector< std::vector< tensorflow::Tensor >> & inputs,
  const TfTrtConversionParams & conversion_params
)