NVIDIA TensorRT Inference Server
1.3.0 -0000000
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master (unstable)
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Documentation home
User Guide
Quickstart
Prerequisites
Using A Prebuilt Docker Container
Building From Source Code
Run TensorRT Inference Server
Verify Inference Server Is Running Correctly
Getting The Client Examples
Running The Image Classification Example
Installing the Server
Installing Prebuilt Containers
Running the Server
Example Model Repository
Running The Inference Server
Running The Inference Server On A System Without A GPU
Checking Inference Server Status
Client Libraries and Examples
Getting the Client Libraries and Examples
Build Using Dockerfile
Build Using Makefile
Download From GitHub
Image Classification Example Application
Ensemble Image Classification Example Application
Performance Example Application
Client API
String Datatype
Client API for Stateful Models
Models And Schedulers
Stateless Models
Stateful Models
Ensemble Models
Model Repository
Modifying the Model Repository
Model Versions
Framework Model Definition
TensorRT Models
TensorFlow Models
Caffe2 Models
TensorRT/TensorFlow Models
ONNX Models
Custom Backends
Custom Backend API
Example Custom Backend
Ensemble Backends
Model Configuration
Generated Model Configuration
Datatypes
Reshape
Version Policy
Instance Groups
Scheduling And Batching
Default Scheduler
Dynamic Batcher
Sequence Batcher
Ensemble Scheduler
Optimization Policy
Inference Server API
Health
Status
Inference
Stream Inference
Metrics
Developer Guide
Architecture
Concurrent Model Execution
Custom Operations
TensorRT
TensorFlow
Building
Building the Server
Incremental Builds
Building the Example Custom Backends
Building the Client Libraries and Examples
Build Using Dockerfile
Build Using Makefile
Building the Documentation
Testing
Generate QA Model Repositories
Build QA Container
Run QA Container
Contributing
Coding Convention
Reference
Capabilities
Protobuf API
HTTP/GRPC API
Model Configuration
Status
C++ API
Class Hierarchy
File Hierarchy
Full API
Namespaces
Namespace nvidia
Namespace nvidia::inferenceserver
Namespace nvidia::inferenceserver::client
Classes and Structs
Struct custom_initdata_struct
Struct custom_payload_struct
Struct Result::ClassResult
Struct InferContext::Stat
Class Error
Class InferContext
Class InferContext::Input
Class InferContext::Options
Class InferContext::Output
Class InferContext::Request
Class InferContext::Result
Class InferGrpcContext
Class InferGrpcStreamContext
Class InferHttpContext
Class ProfileContext
Class ProfileGrpcContext
Class ProfileHttpContext
Class ServerHealthContext
Class ServerHealthGrpcContext
Class ServerHealthHttpContext
Class ServerStatusContext
Class ServerStatusGrpcContext
Class ServerStatusHttpContext
Enums
Enum custom_serverparamkind_enum
Functions
Function CustomErrorString
Function CustomExecute
Function CustomFinalize
Function CustomInitialize
Function nvidia::inferenceserver::client::operator<<
Defines
Define CUSTOM_NO_GPU_DEVICE
Define CUSTOM_SERVER_PARAMETER_CNT
Typedefs
Typedef CustomErrorStringFn_t
Typedef CustomExecuteFn_t
Typedef CustomFinalizeFn_t
Typedef CustomGetNextInputFn_t
Typedef CustomGetOutputFn_t
Typedef CustomInitializeData
Typedef CustomInitializeFn_t
Typedef CustomPayload
Typedef CustomServerParameter
Typedef nvidia::inferenceserver::CorrelationID
Typedef nvidia::inferenceserver::DimsList
Python API
Client
NVIDIA TensorRT Inference Server
Docs
»
C++ API
»
Typedef nvidia::inferenceserver::DimsList
View page source
Typedef nvidia::inferenceserver::DimsList
¶
Defined in
File request.h
Typedef Documentation
¶
using
nvidia::inferenceserver
::
DimsList
= google::protobuf::RepeatedField<google::protobuf::int64>
¶